Here, I will be discussing putting together a disaster recovery plan for your business.
Planning ahead is crucial for your business in various areas. Whether youâre attempting to predict what your competitors are doing or creating a financial safety net for your business, the more prepared you are, the more resilient and capable your business will be.
However, there may come a time when you experience a much larger disturbance to your operations than you anticipated.
Whether dealing with a natural disaster or a major cyberattack, itâs essential to have a detailed plan that you can follow to help you resume operations as quickly as possible, preventing irreversible damage.
When it comes to planning for the unknown, having a well-structured disaster recovery plan is critical.
Table of Contents
Why Disaster Recovery Planning is So Important?
As you develop your business, itâs natural to want to focus your resources on expansion efforts, such as sales and marketing.
However, while youâre busy trying to grow your revenue channels, it can be easy to overlook the planning efforts needed to help you recover fast from significant disruptions.
If an unforeseen problem arises that brings your operations to a standstill, youâre likely to experience not only financial setbacks but also potential lost trust from your customers. This is why disaster recovery planning is so important to prioritize from the very beginning.
Disaster recovery plans not only help you recover as quickly as possible following a major incident, but they can also be an essential element of ensuring your business meets its data security and compliance requirements.
Core Elements for a Successful Disaster Recovery Plan
Established Recovery Teams
If youâre trying to bounce back quickly from a disaster, youâll need to rely heavily on your internal teams or third parties to assist. Itâs essential to have a clearly outlined list of crucial personnel involved in recovery tasks ahead of time, including their contact information and preferred methods of communication.
Getting IT, business operations, and third-party security teams involved from the very beginning is key to designing an effective recovery plan. Ensure that every person involved understands their responsibilities in the event of a disaster and is adequately trained on how to carry out their critical assignments.
Documented Tactics and Procedures
Mapping out various tactics or procedures involved in the recovery process is critical for your recovery plan. These are the necessary steps that your teams will be following from start to finish to return your operations to a stable state.
A key element to address in your documented procedures is determining the order of activities. Itâs essential to have a priority order in place, particularly if multiple systems or databases become compromised.
This will ensure that youâre bringing the most critical elements of your infrastructure online first, before spending too much time on less essential elements.
By carefully assessing your business’s specific needs now, youâll be able to define these priorities more clearly in the event that you need to initiate recovery procedures.
Accurate Inventory of Assets and Resources
Before you can start to map out different recovery strategies, youâll first need to have an accurate inventory of all of your essential assets and resources.
This not only helps you to ensure nothing is missed during recovery procedures, but also gives you an understanding of what will be available to you when executing each recovery step.
Your inventory should include things such as your critical hardware and software, important data, physical office locations, necessary equipment, vendor contracts, and key personnel involved in the recovery process.
Essential Business Backups
Having up-to-date backups on hand in the wake of a major disruption can make all the difference when getting your operations back up and running.
This not only ensures that you can accurately replicate how your systems looked before disaster strikes, but it can also be invaluable when trying to recover from a significant issue, such as ransomware or another form of cyberattack, that makes your data inaccessible.
Decide how you want to manage your data backups – whether in-house or stored off-site. In most cases, itâs best practice to have multiple backups available in the event that one or more of them become compromised.
Cycle of Testing and Improving
Getting your initial disaster recovery strategy down on paper is just the first step. To ensure it performs as needed when it really matters, itâs essential to test it regularly.
One of the most common mistakes businesses make is viewing disaster recovery planning as a one-time project. However, it should be viewed no differently from any other business function. It should be regularly tested and refined as the business grows and its needs evolve.
By regularly testing its effectiveness through penetration testing scenarios with your key recovery personnel, youâll ensure that nothing is missed, while also ensuring that everyone clearly understands what is required of them during a real emergency situation.
By following the strategies discussed, youâll ensure that your disaster recovery plan includes all the necessary elements to help your business resume normal operations as quickly as possible during major disruptions.
Banana Gun has officially launched Banana Pro, a fully modular, browser-native crypto trading platform purpose-built for real-time token discovery, fast execution, and wallet-level control.
Unlike traditional DEX interfaces or static dashboards, Banana Pro brings together sniping tools, limit orders, multi-wallet routing, and live trading data into one customizable terminal -giving power users the same edge they’ve come to expect from Telegram bots, but in a web-native experience.
The launch follows a period of intense behind-the-scenes development, during which the Banana team rebuilt the platform multiple times, reorganized their developer stack, and finally assembled what they describe as a âmiracle-working team.â
âWe made mistakes early on. We waited too long for the wrong devs. We had to start over more than once. But we kept building. Banana Pro is the result of that grindâitâs fast, secure, and entirely shaped around the way real traders operate.â
Banana Pro is more than just a frontend. It’s an execution layer with full support for:
Sniping unlaunched tokens on Pump.fun, Moonshot, and Raydium
Wallet generation & import, fully managed inside the webapp
Limit orders with MEV protection and execution presets
Multi-wallet trading, position tracking, and PNL visualization
TradingView-powered charts, transaction logs, and sniper filters
Claimable yield in $ETH, $BANANA, and $SOL
Referral rewards based on volume, not signups
Users can log in with Google, Twitter, or Telegram to create an accountâor connect a wallet for instant swap access. The dashboard itself is modular, with draggable widgets and multiple layout templates to suit different trading styles.
Quiet Builders, Loud Results
Banana Gunâs core engine already powers one of the most actively used Telegram trading bots on-chain. Its performance last week alone demonstrates sustained adoption:
$93.1M in bot trading volume
5,916 new wallets, pushing the total to nearly 14,000
$442K in weekly revenue, with 40% distributed directly to $BANANA holders
Top 5 Ethereum dApp by active wallets (outpacing MetaMask and Zora)
Over 34.5K users with a 72.19% monthly growth rate
Verified success stories, like one trader flipping $73 into $8.2K on $MUSK
Bananaâs sticky UX and fast execution have helped it earn trust as a daily tool for on-chain traders who operate in minutes, not hours.
Terminal Built Around You
Where most platforms force users into a rigid UI, Banana Pro takes the opposite approach: you build the workspace.
Users can drag, resize, or remove widgets, save custom dashboard templates, and configure buy/sell/sniping presets with granular control. Whether youâre watching liquidity thresholds, scalping new pairs, or tracking multi-wallet PNL in real timeâBanana Pro adapts to your workflow, not the other way around.
Security is also a priority. Users are prompted to save private keys offline, use PIN-based session locks, and secure their social login accounts with 2FA.
đ The Bigger Picture
With the market waking back upâSolana ETF speculation, Circle IPO momentum, and rising Ethereum dApp activityâBanana Pro arrives at a pivotal moment.
Rather than rush to market, Banana chose to build infrastructure quietly. That patience is now paying off: the platform isnât just riding macro tailwinds, itâs scaling with them.
Banana Pro is live now and open to all users. New features, sniper automations, and deeper analytics modules are already in development. This launch is just the foundation.
Surfshark is very popular for its VPN and is very particular about people’s privacy. To help customers delete their data from different online databases and regain control of who should have access to their data, Surfshark created a new privacy tool called Incogni.Â
So, what exactly is Incogni? How does it work? How do you get started? Is it safe? Well, these questions and more will be answered in today’s Incogni review.Â
If you don’t miss out on any detail, read till the end.
Table of Contents
What Is Incogni?
Incogni is a privacy tool built by the RnD team of the cybersecurity company, Surfshark. It is aimed at securing the digital lives of people and enhancing their privacy.
As a personal information removal service, Incogni helps customers to send official data removal requests periodically to data brokers upon request. The process of the request can be followed by users through an online dashboard.Â
They will get to know how many companies were contacted, which company is in the process of deleting the data and which companies have agreed to delete it.
Incogni is a Surfshark tool, but itâs different from the popular Surfshark VPN. You canât log in to an Incogni account with a Surfshark VPN account and vice versa.
Incogni
Incogni wipes off your personal information from data brokers.
Incogni wipes off your personal information from data brokers. Show Less
Once youâve registered by filling out a contact form, signing an authorization form, and confirming your email, the Incogni team, using your details, contacts data brokers.
Then Incogni predicts which data broker will have your data using an algorithm and then, on your behalf, sends requests that they delete your personal data from their databases.
After the request has been sent, it then reports the responses of the data brokers but canât validate that your data has been removed.
However, the requests are made in line with the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), and PIPEDA in Canada. which come with massive fines when flaunted.
These data removal requests will be sent as often as required. During the process of writing this Incogni review, we observed that Incogni can only send these requests to 66+ people search sites and more than 270 major data brokers, and they plan to increase the number in the future.
Notably, Incogni covers the following data broker types:
Financial information data brokers;
Risk mitigation data brokers;
Marketing data brokers;
Recruitment data brokers;
People search sites.
Incogni
Incogni wipes off your personal information from data brokers.
Incogni wipes off your personal information from data brokers. Show Less
Click on Sign Up and on the redirected page, enter your email address and password to create an Incogni account.
Open the mailbox of the email address you provided. Follow the link from Incogni in the email to confirm your email address.
Ensure to click on the ‘Verify email’ option in your mailbox.
Now, enter your first name, middle name, and surname. This will provide Incogni with your personal information.
Next, enter your home address.
Sign the authorization form and sign directly on the form. This grants Incogni the limited power to make data removal requests in your name.
Select your preferred Incogni pricing plan, whether a monthly or annual subscription. Then make the payment.
Wait for the payment to be verified.
Once the payment is confirmed, you are good to go.
Incogni
Incogni wipes off your personal information from data brokers.
Incogni wipes off your personal information from data brokers. Show Less
Incogni Features
Easy to Set up
The process of starting up with Incogni is easy. In fact, for this Incogni review, I was able to set up my Incogni account within 5 minutes and authorized Incogni to remove my personal information from public data broker platforms.
First, youâll create an account using your email. The website will prompt you to enter a password, which youâll repeat for confirmation. Afterward, you click the continue button.
Note that you can only complete this quick registration process if youâre in a supported country. As youâll find out later on, Incogni is only available in select countries.
To complete your registration, Incogni will send a verification email to your inbox. All you have to do is open the mail and click on the verification link. Once the link loads, youâll get a message that your account is confirmed.
Then, you have to complete the remaining registration steps. This includes entering your name and other details, which the tool will use to find your data across the web.
Intuitive Dashboard
One of the first things youâll notice after creating your Incogni account is the intuitive dashboard. Thanks to this, you can start using the tool right away without much learning.
From the dashboard, you get an overview of your data removal requests.
The top section of the dashboard displays three sections: Requests Sent, In Progress, and Completed. Already, you can deduce what these sections represent.
The Requests Sent section displays all data brokers for which Incogni has sent data removal requests for action.Â
Meanwhile, the In Progress section displays the data removal requests that are under processing.
The Completed section displays all successful data removal requests and the associated data brokers.
Furthermore, the dashboard supports a detailed view. When you switch to the detailed view, you get a more in-depth overview of your data removals.
In particular, you get details of the data brokers, including what type of data they collect and your request status with each one.
Notably, the detailed view gives you a data sensitivity rating of each broker.
Accessible from any Device or BrowserÂ
The Incogni online dashboard can be accessed from any device, be it a mobile device or desktop, and on any browser.
At the time of composing this Incogni review, we confirmed that supported web browsers include Chrome, Edge, and Firefox. All that would be required is your email address and password to log in.
However, note that Incogni doesnât have a downloadable application. In other words, you can only use the tool via a web browser. There are no Android or iOS applications to install on your mobile phone.
Nevertheless, the Incogni dashboard is optimized for mobile and desktop browsers. It adjusts to fit the screen on any device.
Privacy Recovery
Data brokers are always watching and taking as much personal data as possible. They also don’t mind because they know going through the process of reclaiming your data is long and stress-free.
Additionally, Incogni helps you to recover your privacy and ensures that these data brokers delete your data from their database. This is typical since Incogni is powered by Surfshark, a privacy-focused company.
Incogni starts recovering your privacy from Day 1 after you register. After supplying your personal details, the tool sends all data brokers it connects to for identification.
You should start getting responses from the data brokers. Typically, the data brokers will identify your data on their website and start the removal process. Complete data removal will take around one month with Incogni.
Thatâs not all. Incogni also sends you weekly updates reports, keeping you informed on the progress of your removal requests.
Automation
Imagine sitting in front of a computer all day, messaging data brokers after data brokers to remove your data. You can define that with one word: Stress.
You donât have to manually send official data removal requests by using Incogni. Thankfully, Incogni will send data removal requests on your behalf to data brokers with your personal data after you fill out the authorization form.
After you finish setting up your account and supplying your personal data such as name, email address, date of birth, and home address. Then, you can shut down your computer and do other things.
Incogni will automatically contact the data brokers, keep track of the removals, and inform you when itâs completed. Youâll get emails from time to time, updating you on the status of your data removals.
Furthermore, Incogni performs regular rechecks. If a data broker deleted your information from their website, it doesnât mean they wonât upload it again.
Therefore, Incogni automatically rechecks the data broker websites from time to time to ensure your data isnât re-uploaded.
Response Tracking
Users have the opportunity to track the response and know which company has been contacted, which has complied with the request, which is still in progress, and which was rejected.
The response is displayed in the dashboard as All, Completed, In Progress, and Rejected. Incogni also ensures that status summaries are sent from time to time to users via email.
Most data brokers delay in handling data removal requests. This is usually because they get lots of requests to deal with. However, other data brokers are simply slow and unwilling to remove data on their websites.
Nevertheless, the data rights protocol demands that data brokers respond to removal requests within forty-five days. Therefore, Incogni will follow up on the requests until thereâs a response. If thereâs none, the tool will issue a re-request.
Incogni Apps & ExtensionsÂ
We discovered that Incogni doesn’t have any app or extension during this Incogni review.
However, users can monitor the progress of the data removal requests through an online dashboard. Additionally, Incogni also sends status summaries to users via email frequently.
If you have any questions regarding this data protection service or you need to send your feedback, you can reach Surfshark support via email at any time.
In fact, for this Incogni review, we sent inquiries at different times and got a response from their customer support team almost immediately.
There is also a Help Center where you can find answers to common questions. The FAQ section is also full of detailed questions and answers.
Incogni Pricing
Incogni offers subscription-only plansâno free tierâwith both monthly and annual options:
Family (up to 5 people):âŻ$16.49/month billed yearly ($197.88/year)
Family Unlimited:âŻ$29.99/month billed yearly ($359.88/year)
đ EU, UK & Canada
Although countries vary slightly, the Standard annual plan remains around âŹ7.29/month, ÂŁâŻ6.49/month, or CADâŻ10.49/month when billed annually, matching the US$8.29 equivalent.
Monthly pricing is generally double the annual rate (USDâequivalent). Exact amounts in local currencies may vary slightly due to VAT and exchange rates.
General Features
Cancel anytime
30-day moneyâback guarantee on all plans
Incogni
Incogni wipes off your personal information from data brokers.
Incogni wipes off your personal information from data brokers. Show Less
Incogni Review: Which Incogni Pricing Plan Should You Go For?
Youâll agree that youâll save money when you pay for Incogni annually than if you pay monthly. Therefore, the annual pricing plan is ideal to subscribe to. But itâs not only because it helps you save money.
Itâs ideal to pay annually because most data removal requests take more than a month to complete.
As mentioned earlier, data brokers are mandated by protocol to reply within forty-five days. If your subscription expires while youâre yet to get a response, your data will remain on the broker’s website.
Furthermore, after a data broker removes your data, itâs still possible for them to reupload it. This is why Incogni performs regular checks to confirm your data isnât back on their sites.
Incogni can only perform these routine checks for your data if you have an active subscription.
Therefore, you need a subscription that runs for months if you want to take full advantage of Incogni services.
At $16.58 monthly, it would be expensive to pay for Incogni month after month. On the other hand, the annual plan will cost you $8.29 per month, which is fifty percent off the monthly plan.
Incogni
Incogni wipes off your personal information from data brokers.
Incogni wipes off your personal information from data brokers. Show Less
Can You Cancel Your Incogni Subscription?
The good thing about an Incogni subscription is that you can cancel it at any time. By default, the subscription will automatically renew.
However, canceling subscriptions is more advisable for monthly than annual subscriptions. If you cancel your annual subscription, you may be at a loss.
Annual subscriptions are charged at once. Incogni Standard Plan annual subscription costs $8.29 per month, which means youâll pay $99.48 at once for twelve months on a monthly plan.
If you cancel your subscription before the twelve months are complete, you wonât get a refund. Thus, youâll be at a loss.
For example, suppose you cancel your subscription after five months. In that case, youâve only used $32.45 worth of your subscription. Youâll be at a loss of $41.45, which is a lot.
If you must cancel your annual subscription, do so towards the eleventh or twelfth month. That way, you get more value for your money.
Canceling your Incogni subscription is easy, although itâs a manual process. You have to message the Incogni support team via email at support@incogni.com. In your message, state your intent â to cancel your subscription.
You should get a response within twenty-four hours after you send the email. The support team will walk you through a straightforward process to finalize your subscription cancellation.
Does Incogni Store Your Data?
To remove your data from data broker websites, Incogni requires you to provide some information. Hence, you may wonder if the platform stores your data. The answer is yes.
Incogni does store your data, but at no risk on your part. In addition, you can request removal at any time.
Incogni collects three types of data from you. It collects your device information, personal data, and account information. The most sensitive of the three is personal data.
However, note that Incogni only requests your personal data so it can identify it on data broker websites. In other words, without knowing your data, thereâs no way the tool can remove it on broker websites.
Before you supply your data and Incogni begins to scan data broker websites, you usually need to sign an authorization form. Hence, the platform isnât taking your data without your consent. This proves that the platform is legal.
In some cases, you may need to provide further information. This is typical if Incogni finds your info on websites with more than regular information. Once again, itâs up to you to decide if you want to share this information or not.
Furthermore, be rest assured that Incogni wonât sell your data to third parties. Itâs ironic, even, considering the platform offers a service to remove your data from third-party platforms.
As hinted earlier in this Incogni review, you can request the removal of your data at any time. Usually, this is when you cancel your subscription.
Incogni will delete all personal information you provide once you cancel your subscription. You can re-enter them if you re-subscribe in the future.
Incogni
Incogni wipes off your personal information from data brokers.
Incogni wipes off your personal information from data brokers. Show Less
It is available for the US, EU, UK, and SwitzerlandÂ
Sends official removal requests on usersâ behalf to data broker companies
Supports data removal results for over 250 data brokersÂ
Supports over 65 people search sites
Responses can be tracked
30-day money-back guarantee
Subscription can be canceled at any time
Repeats removal requests.
Incogni Cons
No free version
You can not access your Surfshark VPN account from Incogni and vice versa. Although they are from the same company; they are two systems that are not linked together.
Incogni Review: Frequently Asked Questions
What Are Data Brokers?
Data brokers are companies that collect and sell information about individuals, including health history and credit scores. This data is usually collected from public sources, such as the internet or websites that you access, which have suffered from data breaches.
In essence, data brokers collect data from public records, online activity, and social media profiles. Some of the information they collect includes:
name
address
phone number
email addresses
social media profiles
your interests
buying history, etc.
In fact, they may even have access to your medical records.
Your personal data is valuable to data brokers as it can be used to target advertising campaigns at you and create a detailed picture of your life. This can lead to a feeling of being followed and monitored by companies and issues around privacy.
However, Incogni can help you to send official data removal requests to these data brokers to help you keep your personal information safe.
What Are People Search Sites?
People search sites are online platforms or databases that allow users to find information about other individuals based on their name, location, phone number, or other identifying information.
These sites aggregate public records, social media profiles, and other online information to provide a comprehensive profile of the person being searched. Examples of popular people search sites include Spokeo, Whitepages, and Intelius.
Is Incogni Safe?
Incogni is a safe privacy tool in the cybersecurity market that is completely legitimate. Several companies collect, aggregate, and trade the personal data of people online without them being able to do anything about it.
Incogni makes these companies remove peopleâs data from their online databases. Your data in the hands of data brokers is whatâs unsafe. Itâs already out there, and Incogni only helps you delete them, without retaining any itself.
Is Incogni Legit?
Although Incogni is a new privacy tool in the cybersecurity market, it is a legitimate platform. It helps customers to get their personal data off the hands of brokers.
Itâs a tool from Surfshark, a leading cybersecurity company that is renowned for having one of the best VPNs. The new Incogni tool further reaffirms the companyâs objective of maintaining user privacy.
Is Incogni Free?Â
Incogni is not free but is based on monthly or annual subscriptions. The platform offers a specialized service that is expensive to maintain.
As a result, the service can not be free. Nevertheless, users can also opt out of their subscription at any time and, upon purchase, can try the privacy tool out for 30 days and get their money back if they donât like it.
What Regions Is Incogni Available In?
Currently, Incogni is available to residents of the following regions:
United States (all 50 states)
Canada
United Kingdom (including the Isle of Man)
Switzerland, Norway, Iceland, Liechtenstein
European Union countries: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, and Sweden.
Nevertheless, Incogni can only legally operate on behalf of individuals protected by data privacy laws such as GDPR, UK GDPR, CCPA, PIPEDA, and other similar regulations.
As part of the CR Digital Lab Initiative, Incogni collaborates with multiple organizations to develop a standardized Data Rights Protocol, helping to represent and enforce individuals’ data rights across supported regions.
Is Incogni Worth It?
Incogni is a relatively affordable service, as you pay less around $8 per month with the annual plan. With the features it comes with, you get value for your money.
Itâll take you days to remove your data from around fifty to a hundred data brokers. Meanwhile, Incogni works with several data brokers. If you attempt to remove your data from up to 250 data brokers manually, it could take years.
Aside from saving you time, Incogni is efficient. You have higher success chances of removing your data from broker websites with the service than on your own.
Is Incogni Expensive?
No, Incogni is not expensive. It is actually quite affordable, with plans starting from $8.29/month. This is lower than many similar privacy products in the market, making Surfshark Incogni one of the best value options in the market.
Here is a table of Incogni’s pricing plans, showing both monthly and annual options:
Plan
Monthly Price
Annual Price (Billed Annually)
Standard (Individual)
$16.58/month
$8.29/month â $99.48/year
Unlimited (Individual)
â
$14.99/month â $179.88/year
Family (Up to 5 users)
$32.98/month
$16.49/month â $197.88/year
Family Unlimited
â
$29.99/month â $359.88/year
đĄ All plans include a 30-day money-back guarantee and can be canceled anytime.
As you can see, the yearly plan is much more affordable than the monthly plan. This is because you are essentially getting a 50% discount by paying for the year upfront.
If you are looking for a privacy tool that is affordable and effective, then Incogni is a great option. It is a trusted service that is backed by Surfshark, a reputable cybersecurity company.
Here are some of the benefits of using Incogni:
It can help you remove your personal data from over 180 data brokers.
It is easy to use and set up.
It is affordable.
It is backed by a reputable company.
If you are concerned about your online privacy, then Incogni is a great way to protect yourself as you can see from this Incogni review. It is an affordable and effective tool that can help you remove your personal data from data brokers.
Incogni
Incogni wipes off your personal information from data brokers.
Incogni wipes off your personal information from data brokers. Show Less
What Are The Best Incogni Alternatives?
There are tools similar to Incogni. How does this Surfshark tool compare to them? Find out in this section as we look at the three best Incogni alternatives:
DeleteMe is one of the most popular online data removal tools. The platform works to remove your personal data from Google and many other data broker websites.
How DeleteMe works isnât much different from how Incogni works. First, you submit your information, then the tool searches for your data on Google and data broker websites. If found, it begins the removal process.
Afterward, DeleteMe continues scanning and detecting your data all year round. If your data reappears on data broker websites, itâll identify and remove it.
DeleteMe has been in the industry for close to eight years. As a result, they are more than experienced to handle your data removal requests. In addition, the platform has a top-notch support team you can depend on for any problems you have.
However, youâll spend more with DeleteMe than with Incogni. DeleteMe costs $10.75 per month with the annual plan, while Incogni costs less than $6. In addition, DeleteMe has no monthly plan.
2. Privacy Bee
Privacy Bee does more than simply remove your data from broker websites. The tool monitors your sensitive data on the internet 24/7. It works with tens of thousands of data broker websites to identify your data.
Privacy Bee will ensure every data broker featuring your data removes it. The tool takes the extra step of calling on the law for stubborn data brokers.
The Privacy Bee dashboard is simple, so youâll find it easy to use. But Privacy Bee is relatively expensive to use if you are on a budget as you can see from this Incogni review. The platform costs $197 per year, which is almost three times what you pay with Incogni.
Like the previous alternative, you donât have the option to pay per month.
3. OneRep
OneRep is another simple alternative to Incogni. Like Incogni, it removes your data from data brokers who sell your data to third parties.
OneRep compares to Incogni in terms of pricing, as it costs only $8.33 per month. There are family plans and business plans that can help you save money.
However, the platform doesnât remove your data from many websites like Incogni. With Incogni, you can remove your data from over 4,000 data broker websites. Meanwhile, OneRep only removes your data from around 150 websites.
Wrapping Up The Incogni ReviewÂ
Incogni by Surfshark is a personal information removal service that sends data removal requests to several data brokers simultaneously, reporting on their responses.
Itâs a new tool that is safe and legit, but it is not free. While it has pros and cons, it is, overall, an excellent data privacy tool.
Nevertheless, I will recommend that you get Incogni because it is affordable, user-friendly, privacy-centric, and effective for removing your personal information from data broker websites.
What do you think about this Incogni review?
Incogni
Incogni wipes off your personal information from data brokers.
Incogni wipes off your personal information from data brokers. Show Less
In this post, I will discuss deep fake detection. This will help you in safeguarding digital media authenticity in an AI-generated world.
The emergence of deepfake technology represents one of the most significant challenges to digital media authenticity in the modern era.
As artificial intelligence becomes increasingly sophisticated, the ability to create convincing fake videos, audio recordings, and images has reached unprecedented levels of realism.
This technological advancement, while offering creative possibilities, has also opened the door to serious security, privacy, and misinformation concerns that affect individuals, businesses, and society at large.
Table of Contents
Understanding the Deepfake Phenomenon
Deepfakes utilize advanced machine learning algorithms, particularly generative adversarial networks (GANs), to create synthetic media that appears authentic to human observers. These AI-generated creations can manipulate existing videos to make it appear as though someone said or did something they never actually did, or create entirely fictional scenarios featuring real people without their consent or knowledge.
The technology has evolved rapidly from requiring extensive technical expertise and computational resources to becoming accessible through user-friendly applications and online platforms. This democratization of deepfake creation has exponentially increased the volume of synthetic media circulating online, making detection and verification increasingly crucial for maintaining digital trust and security.
The Scope and Impact of Deepfake Threats
Political and Social Manipulation
Deepfakes pose significant threats to democratic processes and social stability. Fake videos of political figures making inflammatory statements or engaging in inappropriate behavior can influence elections, destabilize governments, and erode public trust in legitimate media and institutions.
Personal Privacy Violations
Individuals, particularly public figures and private citizens targeted by malicious actors, face serious privacy violations through non-consensual deepfake creation. These synthetic media creations can cause irreparable damage to personal and professional reputations.
Corporate Security Risks
Businesses face unprecedented security challenges as deepfakes can be used to impersonate executives for fraud purposes, manipulate stock prices through fake announcements, or damage brand reputation through fabricated controversies.
Financial Fraud
Sophisticated deepfake audio and video can bypass traditional security measures, enabling fraudsters to impersonate individuals for financial gain, authorize fraudulent transactions, or manipulate voice-activated security systems.
Legal and Evidentiary Challenges
The existence of convincing deepfake technology raises questions about the reliability of digital evidence in legal proceedings, potentially undermining the judicial system’s ability to determine truth from fabrication.
Technical Challenges in Deepfake Detection
Evolving Sophistication
As deepfake creation technology advances, detection systems must continuously evolve to identify increasingly subtle artifacts and inconsistencies. The arms race between creation and detection technology requires constant innovation and adaptation.
Computational Complexity
Effective deepfake detection requires significant computational resources and sophisticated algorithms capable of analyzing multiple aspects of digital media simultaneously, from pixel-level inconsistencies to temporal anomalies.
Format and Platform Variations
Deepfakes appear across various platforms and in different formats, each presenting unique detection challenges. Social media compression, streaming protocols, and platform-specific processing can affect detection accuracy.
Real-Time Requirements
Many applications require real-time or near-real-time detection capabilities, particularly for live streaming platforms, video conferencing systems, and security applications where immediate identification is crucial.
Detection Methodologies and Technologies
Facial Analysis Techniques
Advanced algorithms analyze facial features, expressions, and movements for inconsistencies that may indicate synthetic generation. These systems examine micro-expressions, blinking patterns, and facial symmetry that are difficult for current deepfake technology to replicate perfectly.
Temporal Consistency Analysis
Detection systems analyze video sequences for temporal inconsistencies, examining how facial features, lighting, and movements change across frames to identify unnatural patterns characteristic of synthetic generation.
Audio-Visual Synchronization
Sophisticated detection tools examine the alignment between audio and visual elements, identifying discrepancies in lip-sync, speech patterns, and acoustic characteristics that may indicate manipulation.
Metadata and Technical Analysis
Detection systems analyze technical metadata, compression artifacts, and encoding characteristics that may reveal evidence of synthetic generation or post-processing manipulation.
Biological Signal Detection
Advanced systems look for subtle biological indicators such as pulse detection through skin color variations, natural eye movements, and other physiological signals that are challenging for current deepfake technology to simulate accurately.
Deep Fake Detection: Specialized Protection Solutions
Organizations and individuals seeking comprehensive protection against deepfake threats require specializeddeep fake detection technology that addresses the unique challenges of synthetic media identification. These advanced systems combine multiple detection methodologies to provide robust protection against increasingly sophisticated deepfake content.
Professional detection platforms understand the nuanced differences between authentic and synthetic media, employing machine learning models trained on vast datasets of both legitimate and artificially generated content. This specialized expertise enables accurate identification while minimizing false positives that could disrupt legitimate media workflows.
Industry Applications and Use Cases
Media and Journalism
News organizations and media companies use deepfake detection to verify the authenticity of submitted content, protecting their credibility and ensuring accurate reporting in an era of widespread misinformation.
Social Media Platforms
Major social networking sites implement detection systems to identify and remove deepfake content that violates community standards, protects users from harassment, and maintains platform integrity.
Corporate Communications
Businesses employ detection technology to verify the authenticity of executive communications, protect against impersonation fraud, and ensure the integrity of official company media.
Law Enforcement and Security
Government agencies and security organizations use deepfake detection to verify evidence, identify threats, and protect national security interests from sophisticated disinformation campaigns.
Financial Services
Banks and financial institutions implement detection systems to prevent fraud, verify customer identity in video calls, and protect against sophisticated social engineering attacks.
Legal and Forensic Analysis
Legal professionals and forensic experts utilize detection technology to verify digital evidence, support court proceedings, and investigate potential media manipulation cases.
Implementation Strategies for Organizations
Risk Assessment and Planning
Successful implementation begins with understanding organizational exposure to deepfake threats and developing comprehensive protection strategies tailored to specific risk profiles and operational requirements.
Integration with Existing Systems
Effective detection solutions integrate seamlessly with existing media workflows, content management systems, and security infrastructure to provide protection without disrupting established processes.
Staff Training and Awareness
Comprehensive training programs help staff recognize potential deepfake content and understand the importance of verification processes in maintaining organizational security and integrity.
Policy Development
Clear policies regarding media authentication, verification procedures, and response protocols ensure consistent and effective handling of potential deepfake incidents.
Advanced Detection Capabilities
Multi-Modal Analysis
Leading detection systems analyze multiple aspects of media content simultaneously, including visual, audio, and technical elements, to provide comprehensive authenticity assessment.
Continuous Learning
Advanced platforms continuously update their detection capabilities based on new deepfake techniques and emerging threats, maintaining effectiveness against evolving synthetic media technology.
Scalable Processing
Enterprise-grade solutions offer scalable processing capabilities to handle large volumes of media content efficiently, supporting organizations with extensive verification requirements.
Detailed Forensic Reporting
Comprehensive analysis reports provide detailed information about detected anomalies, supporting investigation processes and providing evidence for potential legal proceedings.
Privacy and Ethical Considerations
Organizations implementing deepfake detection must balance security needs with privacy concerns and ethical considerations. Professional detection systems incorporate appropriate safeguards to protect individual privacy while providing necessary verification capabilities.
Transparent policies regarding data handling, analysis procedures, and result storage ensure that detection processes respect individual rights while providing organizational protection against deepfake threats.
Emerging Trends and Future Developments
The field of deepfake detection continues to evolve rapidly, with new methodologies and technologies emerging regularly. Blockchain-based authentication, enhanced real-time processing capabilities, and improved cross-platform compatibility represent important developments shaping the future of synthetic media detection.
Integration with existing security infrastructure, development of industry-specific solutions, and advancement of automated response capabilities will likely characterize future evolution in deepfake detection technology.
Challenges and Limitations
Current deepfake detection technology faces several challenges, including the need for continuous updates to address new synthetic media techniques, computational requirements for real-time processing, and the balance between detection accuracy and processing efficiency.
Organizations must understand these limitations when implementing detection solutions and develop comprehensive strategies that combine technological capabilities with human oversight and policy frameworks.
Best Practices for Deepfake Protection
Multi-Layered Approach
Effective protection combines technological detection capabilities with human verification processes, policy frameworks, and awareness training to create comprehensive defense against deepfake threats.
Regular Updates and Maintenance
Detection systems require regular updates and maintenance to remain effective against evolving deepfake techniques and emerging synthetic media technologies.
Cross-Platform Verification
Organizations should implement detection capabilities across all relevant platforms and media channels to ensure comprehensive protection against deepfake threats.
Incident Response Planning
Comprehensive incident response plans ensure rapid and effective handling of confirmed deepfake incidents, minimizing potential damage and supporting recovery efforts.
The Future of Digital Media Authentication
As deepfake technology continues to advance, the importance of reliable detection capabilities will only increase. Organizations across all sectors will need robust verification systems to maintain trust, security, and integrity in their digital communications and media content.
The development of industry standards, regulatory frameworks, and collaborative detection initiatives will play crucial roles in addressing the challenges posed by synthetic media technology while preserving the benefits of legitimate AI applications.
Choosing appropriate deepfake detection technology requires careful evaluation of organizational needs, threat profiles, and existing infrastructure. Key considerations include detection accuracy, processing speed, integration capabilities, scalability, and ongoing support requirements.
Organizations should prioritize solutions that offer comprehensive detection capabilities while maintaining efficient workflows and providing clear, actionable results that support informed decision-making.
Conclusion: Essential Protection for Digital Trust
The proliferation of deepfake technology represents a fundamental challenge to digital media authenticity and trust. As synthetic media becomes increasingly sophisticated and accessible, organizations and individuals need robust detection capabilities to protect against misinformation, fraud, and privacy violations.
Professional deep fake detection technology provides the specialized capabilities necessary to address these evolving threats effectively. By implementing comprehensive detection solutions, organizations can maintain digital trust, protect their stakeholders, and navigate the complex landscape of AI-generated content with confidence.
The investment in quality deepfake detection represents a proactive approach to digital security that becomes increasingly valuable as synthetic media technology continues to evolve. As we advance into an era where the line between authentic and artificial content becomes increasingly blurred, having reliable detection capabilities becomes essential for maintaining integrity, security, and trust in our digital communications and media ecosystem.
In 2025, crypto traders arenât just chasing profits â theyâre escaping the drag of centralized exchanges. The best crypto trading app isn’t Binance â it’s Banana Pro.
While Binance still claims the headlines, power users are migrating to Banana Pro, a sniper-grade web app from the BananaGun team that delivers speed, security, and sovereignty in a way no legacy CEX can match.
Binance was built for volume, not edge. As KYC rules tighten and centralized liquidity dries up, traders are waking up to the risks of staying on platforms that hold their keys, throttle execution, and front-run trades.
You donât own your wallet. You donât control execution. And when the system breaks? You’re locked out.
Banana Pro: Built for Speed, Security & Full Wallet Control
Banana Pro is not a frontend wrapper. Itâs a battle-tested Web3 command center built for real-time token sniping, live portfolio tracking, and MEV-resistant execution â without ever giving up custody.
Hereâs what makes it the best crypto trading app in 2025:
đ„· Built-in Sniping Engine
Buy tokens before they migrate, with precise liquidity filters and configurable sniper settings. No Telegram. No delay.
đ Security-First Architecture
Banana Pro runs on non-custodial wallets, with optional 2FA, PIN locks, and zero private key exposure. No email leaks. No KYC honeypots.
Banana Pro isnât just about avoiding CEX risk â itâs about unlocking full DeFi-native control.
Traders can deploy strategies across wallets, automate quick sells, track dev wallets, and execute high-risk snipes â all within a single dashboard. You donât just trade tokens. You hunt alpha in real-time.
Future-Proof Trading: Built for Solana and Beyond
While most apps lag on-chain innovation, Banana Pro is designed for 2025âs fastest chains like Solana â with deep Jito validator support and instant execution.
As the multichain future unfolds, Banana Pro continues to evolve with cross-chain support and protocol-level upgrades already in testing.
From Binance to BananaGun: FAQs
Is Banana Pro free to use?
Yes, Banana Pro is completely free to access and use. There are no hidden subscription fees or paywalls. Unlike centralized exchanges that charge platform fees or offer âproâ versions, Banana Pro makes money the DeFi-native way â you only pay network gas fees and validator tips when executing trades. This means youâre always in control of costs, and you never pay to access features or withdraw your own funds.
Do I need to connect my wallet to try Banana Pro?
You can explore the platform without connecting a wallet. The Banana Pro interface is designed for transparency â you can preview charts, terminal layouts, and some public data feeds without signing in. However, to unlock core features like:
Token sniping
Portfolio tracking
Watchlists
Order placement …youâll need to connect a non-custodial wallet (like Phantom, MetaMask, etc.). Banana Pro supports multiple wallet types and ensures no private key access is ever exposed.
How is Banana Pro different from other sniping tools or Telegram bots?
Banana Pro was built from the ground up for pro-level DeFi trading â not just token sniping. Most Telegram bots are clunky, require manual input, and expose users to phishing links or copied code. With Banana Pro, you get:
A visual terminal with live dev wallet tracking
Sniper engine with filters for new tokens, honeypots, and liquidity traps
One-click trades with MEV protection
Integration with Solanaâs fastest validators (like Jito) for execution speed Itâs a Web3-native control center, not a patched-together workaround.
Is it safe to use Banana Pro for large trades or high-value wallets?
Yes â Banana Pro is designed with security-first architecture. It is:
Non-custodial (you keep your keys)
Equipped with PIN locks, 2FA, and session-based access protection
Free of KYC forms, email databases, or central accounts that can be compromised Since trades execute directly on-chain, there are no withdrawal freezes or downtime. You retain control at every step â and for added protection, you can route trades through validators that support MEV resistance, ensuring better execution and reduced front-running.
Can Banana Pro replace centralized exchanges completely?
For most crypto-native users, yes â Banana Pro is a viable replacement for centralized platforms. It offers:
Non-custodial wallet trading
Lightning-fast execution (especially on Solana)
Advanced sniping and automation tools
Multi-wallet portfolio management However, for tasks like fiat on/off ramps, stablecoin bridging to banks, or highly regulated asset purchases, you might still need a CEX occasionally. Think of Banana Pro as your daily battle station for serious on-chain trading, and keep CEXs for rare legacy interactions â not your main strategy.
Why Banana Pro Wins the Trading War?
CEXs like Binance are still functional â but theyâre playing catch-up. In a world where every second counts, execution speed, wallet security, and automation win.
Banana Pro is the only crypto trading app in 2025 that combines:
Institutional-level infrastructure
On-chain transparency
Tactical control for power users
Itâs not for everyone. But if you trade to win â itâs already the standard.
In the fast-moving world of crypto, real edge isnât about hype â itâs about access, timing, and tools. And right now, crypto VCs, degens, and OGs are quietly sniping through BananaGun, stacking wins before most traders even hear the name of the token.
While influencers hype the latest meme token and bag-holders chase pumps, the real alpha is silent – and sniping early.
Behind the scenes, cryptoâs sharpest players â from well-funded VCs to notorious Telegram degen whales – have quietly turned to one tool: BananaGun.
Table of Contents
Not Hype. Execution.
In a cycle saturated with vaporware bots and late entries, BananaGun stands alone. Itâs not some new gimmick.
Itâs the Telegram-native sniper thatâs been silently front-running token launches, mirroring elite wallets, and racking up on-chain wins before the narrative hits Twitter.
Just ask @gbCrypto_, who casually revealed BananaGunâs firepower after riding a sniper wave:
The Numbers Donât Lie
BananaGun isnât a narrative â itâs a machine.
People IRL always asking me for a lower risk but high reward coin, I say $BANANA. But why?
1/ What is @BananaGunBot A Telegram-based bot for token sniping & trading across Ethereum, Solana, Base & Blast. đ„ 215K+ users đ $22M daily volume âïž 40K daily trades
đ§ Copy Trading That Mimics Alpha Wallets â In Real-Time
In a market where one wallet’s move can ignite a thousand followers, timing and insight are everything. BananaGun has tapped into this truth with its real-time copy trading feature. It allows users to track and mirror the trades of elite walletsâthose used by top crypto traders, anonymous OGs, and even known VC addresses.
This isnât a passive signal alert. BananaGun actively scans blockchain movements and lets users automatically copy buys, sells, or snipes made by wallets they choose to follow. As a result, you can ride alongside the same strategies that make these whales millionsâwithout having to analyze charts or chase rumors on Twitter.
Users in private alpha groups are already reporting 5x to 10x gains simply by mirroring wallets known to snipe successful stealth launches. The tech is so precise, it reacts faster than human traders possibly could. Itâs like putting your capital on autopilot â while it follows the smartest money in crypto.
đ Multi-Chain Sniping: From ETH to Solana to Blast
Sniping isn’t a one-chain game anymore. With meme coins and stealth launches happening across multiple ecosystems, traders need to be everywhere at once â and BananaGun makes that possible.
BananaGun supports major EVM-compatible and non-EVM chains including Ethereum, Solana, Base, and Blast. Whether itâs a microcap gem launching on Solana or a fresh presale token dropping on Base, the bot is prepped to strike.
Most recently, BananaGun launched a dedicated WebApp for Solana, giving traders sniper-grade precision for lightning-fast execution. Solana, known for its rapid throughput and ultra-low gas fees, is a hotspot for meme coin action â and now BananaGun brings sniper-grade efficiency to that battlefield too.
This multi-chain support ensures that traders donât miss out on opportunities just because theyâre confined to one network. Itâs like having your own satellite arsenal deployed across the entire crypto galaxy â ready to fire at a momentâs notice.
đ° Revenue-Sharing for Holders: Passive Income Meets Active Trading
BananaGun doesnât just reward traders with performance â it shares the profits with its community. Every time someone snipes a coin, places a limit order, or executes a trade through the bot, BananaGun earns revenue â and a whopping 40% of that revenue is distributed directly to $BANANA token holders.
With over $3.8 million in monthly revenue, this isnât theoretical. It’s live money flowing to real users.
Hereâs what this means:
Traders earn actively by sniping and flipping early entries.
Holders earn passively from the platformâs daily operations.
Communities grow collectively, with incentives to both use and promote the tool.
This combination of utility-based rewards and revenue-sharing tokenomics is rare in a space crowded with empty promises. It creates an ecosystem where users aren’t just customers â theyâre stakeholders.
And the more BananaGun is used across ecosystems, the more volume and trades flow through it â feeding this passive income engine even more. It’s the kind of long-term incentive model that institutional players quietly love and degens fiercely HODL.
â ïž Final Word
If youâre hearing about BananaGun now, youâre already late. But you donât have to stay late.
Tap in, get access, and stop playing after the pump.Â
Leave a comment below about sniping through BananaGun.
In the fast-paced world of IoT4, smart manufacturing is emerging as a game-changer in the manufacturing process. The combination of cutting-edge technology and cutting-edge processes is ushering in a new age of industrialization.
Discover the building blocks of Smart Manufacturing and how they all work together to redefine manufacturing efficiency, productivity, and agility.
Table of Contents
1. Digital Twins and Simulation
Digital twins are a vital component of intelligent manufacturing. They are virtual representations of real-world processes or products. These digital models allow manufacturers to simulate, analyze, and monitor systems in real time.
An example would be BMWâs digital version of its automotive manufacturing plant, where the manufacturing planning process occurs virtually. This makes it possible to test and optimize every stage of the manufacturing process before deployment, ensuring smooth operations.
2. Artificial Intelligence (AI) and Machine Learning (ML)
This makes it possible to test and optimize every stage of the manufacturing process before deployment, ensuring smooth operations. By recognizing when equipment needs serviced, production lines are optimized to minimize downtime.Â
Utilising extensive production data, Siemens implemented predictive maintenance on a printed circuit board production line, resulting in a 30% reduction in X-ray testing.
3. Robotics and Automation
Robotic-driven automation increases efficiency and accuracy, eliminating the need for manual labour. In an example of how advanced and versatile modern robotics can be, NVIDIA and a food processor collaborated to create an AI solution that enables a robot to identify and collect a single chicken wing from a pile of them.
4. Internet of Things (IoT)
The Internet of Things (IoT) combines sensors and connected devices (e.g., sensors, machines) to collect and process data, enabling real-time control and monitoring of manufacturing operations. The Internet of Things (IoT) contributes to sustainable manufacturing practices by optimizing energy consumption and resource allocation.
Supply chain management improves when materials are tracked in real-time, allowing for better inventory management and faster production planning.
5. Data Analytics and Big Data
Smart manufacturing uses big data to organize, secure, and execute. The information collected by IoT devices and equipment is used to understand every stage of the manufacturing lifecycle, enabling manufacturers to spot bottlenecks, anticipate market trends, and improve product customization.
In exchange, operations are streamlined, resulting in less waste and more productive, responsive, and intelligent manufacturing processes.
Cloud computing provides flexible, scalable, and efficient resources that support large amounts of data storage and high-performance processing. Operational costs are reduced by allowing manufacturers to deploy advanced analytics and ML algorithms without a large-scale on-premises infrastructure.
Additionally, cloud technology enables cross-functional collaboration and cross-site integration, fostering a more integrated manufacturing environment.
7. Predictive and Prescriptive Maintenance
With predictive maintenance, data analytics and the Internet of Things (IoT) are utilised to predict equipment breakdowns and recommend the optimal time for servicing your equipment. Beyond predictive maintenance, prescriptive maintenance keeps even more complicated equipment on the road.Â
These technologies shift equipment maintenance from a reactive to a proactive approach, enabling manufacturers to maintain higher levels of reliability and productivity, ultimately leading to more sustainable manufacturing processes.
8. Flexibility and Adaptability
In smart manufacturing, flexibility and adaptability play a crucial role, enabling manufacturers to respond promptly to shifting market trends and evolving production needs. Modular manufacturing processes, modular equipment, and flexible software platforms enable this flexibility.
For instance, manufacturers can adapt production lines for various vehicle models without downtime or reengineering in the fast-changing automotive industry, demonstrating the flexibility at the core of intelligent manufacturing. Digital technologies, such as AI and the IoT, support this flexibility by delivering real-time information and analytics that enable manufacturers to make process changes rapidly and effectively.
This agile approach enhances productivity and fosters innovation, enabling manufacturers to stay ahead of the curve in an ever-evolving market.
Advanced technology integration refers to the integration of AI, ML, IoT, Robotics, and Cloud Computing technologies to create a unified and intelligent manufacturing ecosystem. Combining AI and IoT devices results in more intelligent data analytics and decision-making while combining robotics and ML allows for more advanced and autonomous manufacturing processes.Â
In high-tech facilities where robotics is integrated seamlessly with cloud analytics platforms, the result is more efficient production and real-time tracking. The combination of technologies brings innovation and productivity beyond the boundaries of traditional manufacturing.
10. Sustainability and Environmental Consideration
Intelligent factories use technologies such as the IoT and big data analytics to track and optimize energy consumption by reducing the environmental impact of manufacturing processes, reducing waste, and harnessing renewable energy. This not only reduces carbon emissions but also conserves resources.
Manufacturers are also increasingly embracing circular economy practices, where products and materials are recycled and reused throughout their lifecycle. This holistic approach aligns with global environmental objectives, reduces costs, and promotes a healthy corporate culture.
Conclusion
Smart manufacturing is revolutionizing how products are designed, manufactured, and maintained. Advanced technologies, including AI, ML, IoT, Robotics, and Cloud Computing, work together to create more innovative, efficient, and flexible manufacturing processes.
As the industrial world evolves, smart manufacturing will undoubtedly play a vital role in creating a more sustainable, efficient, and innovative future.
Want the best Crypto Bot for Solana in 2025? Read on!
In 2025, trading on Solana has become faster, riskier, and far more competitive. Meme coin launches arenât just chaoticâtheyâre engineered to reward speed, timing, and execution logic that goes beyond what most bots can deliver.
Many traders who relied on basic Telegram bots or scripts are now realizing: speed alone isnât enough. The market has evolved, and the tools used to navigate it have to evolve too.
So what actually defines the best crypto bot today? And why are structured sniper tools outperforming everything else?
Letâs break it down.
Table of Contents
Solanaâs Trading Meta Has Evolved
What worked in 2023 no longer applies. Todayâs top bots must be able to:
Detect bonding curve completion before a token migrates
Filter out sniper-heavy deployments and deployer wallet traps
Execute multi-wallet trades across new launches to avoid clustering
Automate exits based on real metrics like market cap or liquidity shifts
Traders donât have time to click through wallets, read Telegram threads, or wait for influencer charts. They need logic-driven bots that can enter early and exit before everyone else starts tweeting.
$103M in Weekly Bot Volume: What the Numbers Show
A recent data breakdown from Banana Gun revealed that bot volume surged past $103 million in one week, with $32.2 million on Solana alone.
But it wasnât just volume. It was user retention that stood out. Over 12,000 wallets interacted with bots that week, and thousands returned the nextâproof that traders arenât just experimenting. Theyâre committing to tools that work. What Separates a Real Trading Bot From Hype
Hereâs what serious Solana traders are looking for in 2025:
Slippage + MEV routing to protect against failed or front-run transactions
Pre-migration filters to avoid entering during high sniper density
Non-custodial wallet controlâno risk, no lockups
Real dashboards, not just Telegram commands
Exit logic based on live on-chain metrics, not guesswork
The bots that dominate today arenât just fastâtheyâre precise.
Plenty of tools still market themselves on speed. But speed without intelligence just makes you the first to buy⊠and the first to get dumped on.
What works now is early detection, tight filters, and structured exits.
And according to the latest data, the bots outperforming the field are already running this logic by default.
In Solanaâs current meta, the gap between fast and smart is everything.
If your bot isnât protecting you on entry, guiding your exits, and adapting to the new flowâitâs just another outdated tool from a previous cycle.
Want to see what traders using smarter sniper logic are actually doing?
Let’s discuss unlocking cyber risk quantification in this post. I’ll also show the steps for mastering the FAIR Model!
In an increasingly connected world, data breaches and cyberattacks have become everyday threats. Every organization, no matter the size or industry, relies on digital systems to operate, and that makes cyber risk management more than just an IT concern. Itâs now critical to your organizationâs reputation, operations, and financial health.
But here’s the challenge: Most businesses have limited security resources. That means guesswork isn’t an option, and you need to focus on what truly matters.
So, how do you cut through the noise and make informed, strategic cybersecurity decisions that empower your organization?
Meet FAIR, the Factor Analysis of Information Risk framework. Itâs a powerful tool that helps organizations measure, prioritize, and manage cyber risks in financial terms, providing clarity in a space often dominated by complexity.
Table of Contents
Managing Cyber Risk with Confidence: Why FAIR Matters
From Technical Risk to Business Language
FAIR stands out because it turns cyber risk into something business leaders understand: dollars and cents. Rather than vague labels like âhigh riskâ or âcritical vulnerability,â FAIR quantifies potential losses from specific cyber events. This allows for meaningful discussions around risk at the executive level and helps decision-makers understand whatâs at stake.
Think of FAIR as a universal language for cyber risk. It bridges the communication gap between technical experts and leadership by creating a standardized way to talk about threats, vulnerabilities, and impacts, bringing clarity and reassurance to all involved.
Building a Common Understanding: The FAIR Taxonomy
One of FAIRâs core strengths is the way it defines key risk components clearly and consistently. It creates a structured taxonomy that includes:
Risk
Threat
Vulnerability
Asset
Control
By standardizing these terms, FAIR ensures that everyone from IT teams to board members is speaking the same language when it comes to risk. That means better alignment, clearer decisions, and less miscommunication.
How FAIR Combines Insight with Precision
What makes FAIR so effective is its ability to unite qualitative insight with quantitative analysis. Instead of relying solely on instinct or past experience, organizations use data and structured logic to evaluate cyber risk scenarios.
This helps businesses:
Identify and prioritize high-impact risks
Allocate cybersecurity budgets efficiently.
Justify security investments with measurable ROI
Communicate risk more clearly to stakeholders.
Risk analysis uses probabilities, not certainties. FAIR analysis aims for accurate risk ranges (like 60% chance of 125,000-$200,000 dollars in annual losses) rather than precise values.
Key Questions FAIR Helps You Answer
Organizations worldwide turn to FAIR to gain clarity in decision-making. This framework helps you answer critical questions like:
What assets are most at risk?
Which threats are most likely to cause damage?
How frequently could an incident occur?
What would it cost the business?
Whatâs the right level of investment to reduce this risk?
Which controls will reduce risk most effectively?
By answering these questions, FAIR helps optimize security spending and enhance regulatory compliance without sacrificing business agility.
How the FAIR Model Works
At the heart of the FAIR model is a simple yet powerful formula:
Risk = Loss Event Frequency Ă Loss Event Magnitude
Letâs break it down:
1. Loss Event Frequency
This estimates how often a cyber incident might happen. Itâs based on:
Threat Event Frequency: How often a threat is expected to occur.
Vulnerability (or Susceptibility): The likelihood that the threat will succeed.
2. Loss Event Magnitude
This estimates the financial impact of a cyber incident. It includes:
Primary Loss: Direct costs like system repair, ransomware payments, or lost productivity.
Secondary Loss: Indirect costs, such as legal fees, reputational damage, fines, and loss of customer trust.
Some variables in the FAIR model are objective and data-driven, while others require expert judgment, particularly when estimating hard-to-quantify impacts like reputational loss. However, this specialist judgment is guided by calibration techniques and consultation, ensuring a high level of objectivity.
Tools and Resources for Implementing FAIR
FAIR is flexible. Whether youâre just getting started or already building a mature risk program, there are tools for every stage:
đč DIY FAIR
With just spreadsheets, you can perform fundamental FAIR analysis. It’s a good option for teams with data analysis experience.
đč FAIR-U
A free tool by the FAIR Institute and RiskLens, FAIR-U helps users analyze one risk scenario at a time through a guided interface ideal for training and small-scale assessments.
In addition to professional accreditation, technical documentation, and training programs, the FAIR Institute also provides a range of free educational resources on its website.
đč Open FAIR
An open international standard endorsed by The Open Group. It includes:
The Risk Taxonomy Standard
The Risk Analysis Standard
đč RiskLens FAIR Enterprise Model
This is a more advanced, enterprise-grade solution offering automated analysis, scenario modeling, and reporting. It is great for larger organizations looking for scalability and speed.
Steps to Running a FAIR Analysis
To run a FAIR assessment, follow these four core steps:
Step 1: Identify Risk Scenarios
Define what assets are at risk and what threats may target them.
Step 2: Estimate Frequency of Loss Events
Determine how often a threat might occur and succeed.
Step 3: Assess Loss Magnitude
Evaluate the potential financial impact, including both primary and secondary losses.
Step 4: Calculate and Express Risk
Multiply frequency by magnitude to arrive at a quantifiable risk value typically expressed in monetary terms.
The Benefits of FAIR: Why It Works
FAIR offers a modern approach to risk management grounded in business logic. Hereâs what organizations gain:
â Strategic Alignment: Ensures security decisions support business objectives
â Scalability: FAIR is suitable for organizations of any size, from small startups to large enterprises, and across various industries, including finance, healthcare, and technology.
â Better Threat Modeling: Analyze and simulate complex attack scenarios
â Cost-Effective Security: Prioritize investments with measurable ROI
Bottom Line: Protect What Matters Most
Cybersecurity is about keeping hackers out and protecting your businessâs future. With FAIR, you move beyond guesswork into a space where every risk is understood, measured, and addressed with financial clarity.
In a world of evolving threats and limited resources, FAIR helps you focus on what truly matters, making more intelligent decisions that strengthen your business from the inside out.
