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Why Crypto VCs, Degens & OGs Are Quietly Sniping Through BananaGun

In the fast-moving world of crypto, real edge isn’t about hype — it’s 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, crypto’s sharpest players — from well-funded VCs to notorious Telegram degen whales – have quietly turned to one tool: BananaGun.

Not Hype. Execution.

In a cycle saturated with vaporware bots and late entries, BananaGun stands alone. It’s not some new gimmick.

It’s the Telegram-native sniper that’s 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 BananaGun’s firepower after riding a sniper wave:

The Numbers Don’t Lie

BananaGun isn’t a narrative — it’s a machine.

Here’s what backs that up:

  • 215K+ users
  • $22M in daily volume
  • 40K+ daily trades
  • $3.8M monthly revenue
  • 40% of revenue shared with holders

And unlike vaporbots, this isn’t future promises. This is live now.

🔍 Features That Matter

Features That Matter

What do the VCs and OGs actually use?

  • Auto-sniping at launch
  • Copy trading
  • Stop-loss, trailing, limit orders
  • MEV & honeypot protection
  • Multi-chain support: Solana, Ethereum, Base, Blast

The Alpha Isn’t Public

Most are still sleeping on what BananaGun actually does:

  • Detects stealth launches and early token adds before the CT hysteria
  • Enables copy trading of whale wallets in real time
  • Now offers a lightning-fast WebApp on Solana for sniper precision
    → See how users 10x'd before tokens even listed

No complex setup. No clunky interfaces. Just sniper-grade execution, wrapped in a frictionless UX.

Why the Smartest Players Use It Quietly

You won’t see BananaGun shilled in threads by engagement farmers.
Why?

Because everyone using it early is printing — and they don’t want you on it yet.

  • VC scouts use it for early exposure
  • OG traders run it in closed alpha groups
  • CT meme gods front-run influencers before they tweet

This isn’t a tool. It’s infrastructure. Why wait when you can start sniping through BananaGun today!

READ ALSO: Banana Pro Hits Its Stride: $236M Week, Auto Rewards, and a Trading Dashboard Degens Actually Love

🧠 Copy Trading That Mimics Alpha Wallets — 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 wallets—those used by top crypto traders, anonymous OGs, and even known VC addresses.

This isn’t 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 millions—without 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. It’s like putting your capital on autopilot — while it follows the smartest money in crypto.

🔗 Multi-Chain Sniping: From ETH to Solana to Blast

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 — and BananaGun makes that possible.

BananaGun supports major EVM-compatible and non-EVM chains including Ethereum, Solana, Base, and Blast. Whether it’s 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 — and now BananaGun brings sniper-grade efficiency to that battlefield too.

This multi-chain support ensures that traders don’t miss out on opportunities just because they’re confined to one network. It’s like having your own satellite arsenal deployed across the entire crypto galaxy — ready to fire at a moment’s notice.

💰 Revenue-Sharing for Holders: Passive Income Meets Active Trading

BananaGun doesn’t just reward traders with performance — 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 — and a whopping 40% of that revenue is distributed directly to $BANANA token holders.

With over $3.8 million in monthly revenue, this isn’t theoretical. It's live money flowing to real users.

Here’s what this means:

  • Traders earn actively by sniping and flipping early entries.
  • Holders earn passively from the platform’s 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 — they’re stakeholders.

And the more BananaGun is used across ecosystems, the more volume and trades flow through it — 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.

⚠️ Final Word

If you’re hearing about BananaGun now, you’re already late.
But you don’t have to stay late.

Tap in, get access, and stop playing after the pump. 

Leave a comment below about sniping through BananaGun.


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Unlocking The Power Of Smart Manufacturing: 10 Essential Elements

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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.

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 BMW’s 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.

READ ALSO: The Importance of Cybersecurity in Manufacturing

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. 

Using much production information, Siemens applied predictive maintenance to a printed circuit board production line to reduce X-ray testing by 30%.

Artificial Intelligence (AI) and Machine Learning (ML)

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 worked together to create an AI solution that allows a robot to identify and collect one 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, etc.) to collect and process data to enable 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.

Also, Read: Top Machine Learning Models 

6. Cloud Computing

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.

In addition, cloud technology allows for cross-functional collaboration and cross-site integration, allowing for a more integrated manufacturing environment.

7. Predictive and Prescriptive Maintenance

Predictive and Prescriptive Maintenance

With predictive maintenance, data analytics and the Internet of Things (IoT) are used to predict equipment breakdowns and recommend the best time to service your equipment. Beyond predictive maintenance, prescriptive maintenance keeps even more complicated equipment on the road. 

These technologies take equipment maintenance from a reactive to a proactive approach, allowing manufacturers to maintain higher levels of reliability and productivity, leading to more sustainable manufacturing processes.

8. Flexibility and Adaptability

In smart manufacturing, flexibility and adaptability play an essential role, allowing manufacturers to react quickly to changing market trends and 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 allow manufacturers to make process changes rapidly and effectively.

This agile approach increases productivity and improves innovation, helping manufacturers stay ahead of the curve in an ever-changing market.

9. Integration of Advanced Technologies

Advanced technology integration refers to integrating 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. 

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 such as 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.


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Best Crypto Bot for Solana in 2025? Why the Old Playbook No Longer Works

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 aren’t just chaotic—they’re 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 isn’t 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?

Let’s break it down.

Solana’s Trading Meta Has Evolved

What worked in 2023 no longer applies.
Today’s 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 don’t 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.

Best Crypto Bot for Solana in 2025 Why the Old Playbook No Longer Works

$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 wasn’t just volume. It was user retention that stood out. Over 12,000 wallets interacted with bots that week, and thousands returned the next—proof that traders aren’t just experimenting. They’re committing to tools that work. What Separates a Real Trading Bot From Hype

Here’s 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 control—no risk, no lockups
  • Real dashboards, not just Telegram commands
  • Exit logic based on live on-chain metrics, not guesswork

The bots that dominate today aren’t just fast—they’re precise.

READ ALSO: Why Crypto VCs, Degens & OGs Are Quietly Sniping Through BananaGun

Why “Fastest Bot” Doesn’t Win Anymore

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 Solana’s current meta, the gap between fast and smart is everything.

If your bot isn’t protecting you on entry, guiding your exits, and adapting to the new flow—it’s just another outdated tool from a previous cycle.

Want to see what traders using smarter sniper logic are actually doing?


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Unlocking Cyber Risk Quantification: Mastering the FAIR Model!

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. It’s now critical to your organization’s 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. It’s a powerful tool that helps organizations measure, prioritize, and manage cyber risks in financial terms, providing clarity in a space often dominated by complexity.

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 “high risk” or “critical vulnerability,” FAIR quantifies potential losses from specific cyber events. This allows for meaningful discussions around risk at the executive level and helps decision-makers understand what’s 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.

Unlocking Cyber Risk Quantification Mastering the FAIR Model!

Building a Common Understanding: The FAIR Taxonomy

One of FAIR’s 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?
  • What’s 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

How the FAIR Model Works

At the heart of the FAIR model is a simple yet powerful formula:

Risk = Loss Event Frequency × Loss Event Magnitude

Let’s break it down:

1. Loss Event Frequency

This estimates how often a cyber incident might happen. It’s 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 you’re just getting started or already building a mature risk program, there are tools for every stage:

🔹 DIY FAIR

With just spreadsheets, you can perform fundamental FAIR analysis. It's a good option for teams with data analysis experience.

🔹 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.

🔹 Open FAIR

An open international standard endorsed by The Open Group. It includes:

  • The Risk Taxonomy Standard
  • The Risk Analysis Standard

🔹 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. Here’s what organizations gain:

✅ Strategic Alignment: Ensures security decisions support business objectives

✅ Scalability: FAIR is suitable for organizations of any size, from small startups to large enterprises, and across various industries, including finance, healthcare, and technology.

✅ Better Threat Modeling: Analyze and simulate complex attack scenarios

✅ Cost-Effective Security: Prioritize investments with measurable ROI

Bottom Line: Protect What Matters Most

Cybersecurity is about keeping hackers out and protecting your business’s 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.


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Revolutionizing Risk Management: How AI is Transforming GRC

In this post, I'll be talking about revolutionizing risk management and also show you how AI is transforming GRC.

Today's organizations stand at a critical GRC crossroads. The mounting pressures of complex regulations, evolving cybersecurity threats, and unpredictable business disruptions demand immediate action. As regulations become more complex and cybersecurity threats continue to evolve, traditional GRC frameworks no longer suffice.

To thrive in this challenging landscape, leaders must embrace innovative approaches like AI-driven, Integrated, and Agile GRC solutions. The time for transformation is now—how swiftly can you adapt to stay ahead of the curve?

What Is Governance, Risk, and Compliance (GRC), and What Makes It Important?

Revolutionizing Risk Management How AI is Transforming GRC

Organizational integrity and performance rest upon three interconnected pillars – Governance, Risk, and Compliance (GRC). GRC coordinates IT operations with business goals while handling risks and fulfilling regulatory requirements.

The organization's tools and processes merge tech innovation with governance and risk management functions. Through GRC implementation companies can reach their objectives reliably while reducing unpredictability and maintaining compliance. Together, they ensure that:

– Governance aligns organizational actions with business goals.

– Risk management identifies and mitigates potential threats.

– Compliance requires organizations to follow both regulatory standards and internal company policies.

GRC strategically protects the organization's reputation while enhancing operational efficiency and building stakeholder trust beyond compliance and penalty avoidance.

The Challenges of Traditional Risk Management 

Traditional risk management methods depend on manual work processes while utilizing split systems and focusing on reactive measures. Some common challenges include:

Organizations struggle to detect new risks and understand dependencies between different functions.

The response time remains slow because it depends on outdated data and static reporting methods.

Assessments and decisions can contain human biases and errors.

Scaling risk processes throughout worldwide operations presents significant difficulties.

The presence of these gaps leaves organizations vulnerable to receiving regulatory fines and financial losses while risking reputational damage and operational disruption.

How AI Enhances Risk Management in GRC 

How AI Enhances Risk Management in GRC

Advanced technologies within GRC AI solutions help optimize operations across governance structures and compliance procedures while managing risk effectively. Integrating AI into GRC systems delivers enhanced intelligence and automation, enabling organizations to shift their risk management from reactive methods to predictive strategies. Here's how:

1. Real-Time Risk Detection and Monitoring 

AI systems analyze enormous amounts of structured and unstructured data from internal databases and external sources like social media and news feeds in real time to identify fraud indicators, regulatory warnings, and anomalies. Risk identification across endpoints and data security and workflow becomes possible through monitoring data sources and cybersecurity incidents together with operations and activities. Organizations strengthen their security posture by utilizing real-time risk identification to implement control measures promptly.

Example: NLP technology enables businesses to scan employee emails for potential insider threats and policy breach indicators.

2. Predictive Analytics 

Predictive analytics, using AI techniques, recognize risk patterns by evaluating historical data, trend analysis, and variable considerations. The analysis provides early warnings about potential defaults and actionable mitigation approaches.

Example: AI systems predict supply chain interruptions by analyzing geopolitical developments, weather anomalies, and vendor actions.

3. Automated Compliance Monitoring

AI systems systematically track legal databases, regulatory updates, and industry publications to anticipate and adapt to future regulatory changes. Machine learning algorithms, together with natural language processing, analyze regulatory text to detect updates and deliver real-time compliance insights, decreasing the manual workload required for maintaining compliance.

Example: AI-powered tools track changes on regulatory websites to alert your business about potential updates.

4. Smart Decision-Making 

AI systems deliver insights based on data analysis, helping organizations make timely and well-informed decisions. The system suggests mitigation methods while evaluating risk consequences and organizing responses by likelihood and seriousness.

Example: Risk scoring engines enable departmental vulnerability rankings to help leaders allocate resources more efficiently.

5. Continuous Controls Testing

AI streamlines and automates the testing and monitoring of internal controls to ensure their effectiveness while minimizing audit fatigue.

Example: Robotic Process Automation (RPA) bots enable financial control testing across thousands of transactions while requiring minimal human supervision.

6. Enhanced Vendor Risk Management 

AI facilitates automated vendor and third-party risk assessments while streamlining due diligence processes and ensuring compliance with industry regulations.

Example: Advanced machine learning algorithms allow organizations to track vital metrics, including financial health status, cybersecurity status, and vendor compliance records.

Let's dive into some Real-world Case Studies 

HSBC (Financial Sector): Fighting Financial Crime with AI 

The company addressed the need for compliance in its operations across 60+ jurisdictions worldwide by implementing AI technology to detect suspicious transaction activities. The result? The organization achieved fewer false positives, while investigations became quicker and more effective.

Siemens (Technology Sector): Automating Internal Controls 

After identifying inefficiencies in their manual testing processes, Siemens deployed RPA bots for automated control testing. The implementation achieved time savings along with better accuracy levels.

Aetna (Healthcare Sector): Proactive Healthcare Risk Management 

Their use of AI-powered analysis scans on health records enabled them to tackle patient safety and HIPAA compliance by detecting potential risks early. The payoff? Using AI-powered analysis scans resulted in reduced security breaches, better patient outcomes, and strict compliance standards.

Best Practices for Integrating AI into GRC 

– Start with a pilot project.

– Ensure high-quality data governance.

– Blend AI with human oversight.

– Continuously retrain and monitor AI models.

Considerations and Challenges

Organizations need to evaluate essential considerations even though AI provides substantial advantages.

Data Quality: The effectiveness of AI systems depends critically on the quality of data, which includes its cleanliness, relevance, and unbiased nature.

Ethical AI Use: AI systems used in compliance and legal decisions must demonstrate clear transparency and explainability.

Integration: GRC frameworks and tools currently in use need to adopt AI technologies.

Human Oversight: AI serves to enhance human decision-making abilities but cannot fully substitute human insight in intricate or critical scenarios.

The Future of AI in GRC 

Organizations now rely on AI to establish new risk management standards in today's interconnected global environment. By leveraging automation with analytics and machine learning technologies, companies can shift their GRC practices to proactive and fully integrated systems. Your organization should begin exploring AI solutions to achieve better visibility, control, and confidence for future navigation.

Join the Conversation! 

How is your organization approaching GRC? Have you considered implementing artificial intelligence solutions to enhance your organization's risk management strategies? Post your opinions or experiences in the comment section below. Join me in discussing how AI could transform risk management into something more beneficial.


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How Top Traders Catch 30x Memecoins Before the Crowd – The Exact Strategy That Works in 2025

Learn how top traders predict viral memecoins before they pump – On-Chain strategy that beats CT.

Why Most Traders Are Exit Liquidity

You saw the tweet. You bought in. It dumped.

That wasn’t bad luck. That was design.

By the time most traders hear about a memecoin on CT or Telegram, early entries are already up 10x or more. If you're relying on influencers or trending hashtags to catch early plays, you’re the exit — not the strategy.

This guide shows how top traders consistently enter before the wave hits:

  • How they find tokens before launch tweets
  • How they filter for legitimate setups
  • How they execute using Telegram sniper bots like Banana Gun
  • And how they scale into 30x trades with risk managed precision

Why Most Traders Are Exit Liquidity

Case Study: $STARBASE – 32x in 12 Minutes

  • Entry: 12 minutes post-launch
  • Initial: $72
  • Unrealized at peak: $2,309
  • Chain: Ethereum
  • Method: Token appeared on Banana Gun live scanner. Sniper executed without external hype.

Takeaway: This was not driven by virality. It was pure on-chain momentum, spotted by tooling and confirmed by contract health and wallet behavior.

Case Study: $HOUND – 37x with Delayed Entry

  • Entry: 4 hours after launch
  • Size: $145
  • Unrealized peak: $5,308
  • Status: Still holding
  • Edge: Entry came during a low-volume window after an initial shakeout

Takeaway: You don’t need to be first — you need to be positioned before CT re-discovers it. This is a common second-wave sniper pattern.

How to Catch Viral Memecoins Before They Pump

1. Track New Token Deployments in Real Time

Use a bot like Banana Gun with a real-time token feed across Ethereum, Solana, and Base. The scanner should show:

  • Time since pool creation
  • LP size and lock status
  • Contract ownership and minting logic
  • Trading volume acceleration

Do not wait for Discord or Twitter. Watch on-chain directly.

2. Mirror Smart Wallets, Not Social Posts

Banana Gun’s Top Traders widget highlights wallets with real historical performance. The copy trading system allows you to auto-enter positions as these wallets act, in real time.

The fastest growing wallets are not following anyone. They're leading by pattern recognition, not posts.

3. Validate the Setup: Is It a Real Opportunity or a Trap?

Run this checklist before entry:

  • Is the LP locked for at least 30–90 days?
  • Is the contract renounced or proven safe?
  • Is initial volume organic or spoofed?
  • Are insiders dumping or accumulating?
  • Did smart wallets enter or avoid?

90% of new meme launches fail these tests. Avoid them.

4. Time the Entry Based on Lifecycle, Not FOMO

Most high-return trades come either:

  • Within 5 minutes of launch after basic validation
  • Or 30–90 minutes later during the first pullback and reload window

Do not chase green candles. Do not fade volume breakouts if the structure is intact. Enter clean. Set your limits. Exit fast, or scale.

Tools Top Traders Use

  • Banana Gun Pro – Token scanner, sniper bot, top trader copy system
  • Dexscreener – Chart + liquidity heat map
  • Telegram Alerts – Wallet watch, CA alerts, auto-sniper triggers

Why Most People Miss These Coins

Because they wait for confirmation.

Because they read about winners instead of reverse-engineering how they started.

Because they follow hype instead of scanning patterns.

By the time $HOUND or $STARBASE hit their feeds, the winners were already in and positioned.

Tactical Recap: The Predictive Sniper Process

  1. Monitor token launches using real-time tools
  2. Filter for healthy LP, contract, and wallet behavior
  3. Track and mirror sniper wallets who act early
  4. Enter with size control
  5. Exit clean, or ride the full meme cycle

Full Strategy Guide: Go Deeper

This article is part of a two-part tactical drop. For the full sniper breakdown including additional case studies from $FUCKCOIN and more:

→ How to Find and Snipe Viral Memecoins Before They 30x

Snipers don't chase virality. They create it.

If you're still refreshing Twitter to catch the next play, you're the one holding the bag.

To lead the trade — not follow it — build from chain data, not influencers.

Banana Gun gives you the scanner, the sniper, the copy engine, and the stats.

The only thing left is your trigger discipline.

 

How to Turn Incident Management Failures into Long-Term IT Wins

How to Turn Incident Management Failures into Long-Term IT Wins

Is your incident management system meeting expectations, or is it like you’re constantly firefighting? What if your approach's failures could set the stage for long-term success? That’s the power of a strong ITIL framework. By learning from an ITIL Course, your organisation can evolve its ITIL Incident Management practices, creating smoother processes and minimising disruptions.

Instead of seeing incidents as mere roadblocks, consider them valuable insights to drive improvement. So, how do you turn those painful failures into IT wins that last? Let's explore how the right approach can turn your incident management setbacks into opportunities for growth, stability, and long-term success.

Key Strategies for Turning Incident Management Failures into Wins

Dealing with incident management breakdowns calls for a thorough strategy. It is about enhancing the system overall, not only about resolving the current problem. These are the key strategies your team may use to make failures into long-term IT triumphs:

Identifying the Root Cause of Incidents

The first inclination during an incident is usually to remedy things quickly, which is very reasonable. Still, finding the underlying source of the problem is among the most crucial steps in turning failure into success. Many times, events are manifestations of more serious underlying issues. Ignoring these fundamental problems will probably cause similar events to recur, compromising your team's capacity to create a strong system.

Knowing the root cause requires a methodical technique, including root cause analysis (RCA) or post-incident evaluations. Not only is the current problem fixed, but the underlying cause is also sought to understand how such problems might be avoided going forward. Techniques like Failure Mode and Effects Analysis (FMEA) or Five Whys will help you dissect the issue and identify solutions beyond temporary fixes.

Teams that learn to spot and fix the fundamental problems stop reoccurring events, enabling better, more effective operations. This strategy reduces disturbance over time and raises service standards.

Implementing a Learning Culture

Many companies view events as failures that should be covered up or dismissed. This is a crucial error. Establishing a learning culture inside your company can help you turn events into long-term gains.

This encourages your staff to see events as opportunities for development rather than causes of liability. Failures should be transparently examined, and lessons should be shared throughout the company. Organising frequent post-incident reviews or “blameless” retrospectives, where the emphasis is on learning from the event and avoiding similar problems in the future, helps one apply this.

A robust learning culture enhances one's reaction to upcoming events and motivates team members to be more aggressive in spotting possible hazards before they become more serious. By developing this thinking, your team will be more ready to face upcoming difficulties and keep enhancing incident handling procedures.

Building a Proactive Incident Management System

Using a reactive approach to event management can lead to a never-ending loop of difficulties, with your staff left scurrying to fix problems as they develop. Developing a proactive incident management system that forecasts possible events before they start will help to break this loop.

Including monitoring solutions with a real-time view of your systems and networks can help you do this. Early identification of problems allows teams to act before a major incident starts. Moreover, a proactive incident management system entails routinely reviewing systems and procedures to find possible flaws and hazards. Predictive analytics and artificial intelligence tools can also help forecast and prevent incidents by spotting trends and patterns that might otherwise go undetectable.

Creating a proactive system requires a shift from responding to problems as they develop to first-hand prevention. This results in fewer accidents and more seamless operations, freeing your staff to concentrate on innovation and expansion rather than constantly juggling disturbances.

Leveraging Technology for Continuous Improvement

Digital times depend on technology to maximise incident management. Using the correct tools and technology can help you to constantly enhance your IT operations, lower reaction times, and simplify incident management procedures.

Many technologies abound that can help automate incident identification and resolution. For instance, automation technologies can reduce the requirement for human involvement by triggering alarms and reactions depending on predefined criteria. By studying past data and identifying trends, machine learning systems can also assist in forecasting and stopping possible events.

Another crucial technology to consider is a thorough IT service management (ITSM) platform, which centralises incident tracking, ticketing, and communication. This guarantees that no incident goes unsolved and lets your staff react to events more rapidly. Constant integration and improvement of these technologies will help you create an incident management system that solves problems and learns and advances with time.

Conclusion

Though it takes time, turning incident management mistakes into long-term benefits is achievable with the correct strategy. Identifying the causes of events, encouraging a learning culture, developing a proactive incident management system, and using technology will help you turn obstacles into stepping stones towards more success. Consider The Knowledge Academy courses to hone your incident management techniques and give your staff the tools to turn failures into long-term IT successes.


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Best Anti-Pharming Software For 2025

Are you looking for the best anti-pharming software? We’ve got the best picks for you!

Pharming is a cyberattack that focuses on harvesting users’ information by redirecting users’ traffic to a counterfeit website. Therefore, using reliable anti-pharming software is the best way to prevent this.

The term pharming comes from combining two words: phishing because it uses methods similar to phishing to harvest information and farming. This is because it harvests information on a larger scale from multiple users.

There are several ways of countering both malware-based and DNS-based pharming attacks. However, using robust antivirus software and a premium VPN service has proven to be the best way of countering pharming attacks.

For this purpose, I will review some of the best anti-pharming software for countering pharming attacks.

Also Read: Top Countries Notable for Cyber Criminals

Best Anti-Pharming Software

1. Norton 360 and Norton Internet Security

Released in April 2019, the Norton 360 offers complete protection against viruses, malware, Trojan horses, worms, etc.

It also includes a secure VPN for protecting your privacy online, cloud backup for safe file storage, and a password manager for managing and safeguarding your password. Hence, the name Norton’ 360’.

Combining powerful antivirus software and a secure VPN makes Norton 360 one of the best anti-pharming software for protecting you against malware and DNS-based pharming attacks.

Features of Norton 360 antivirus

  • Real-time threat protection
  • Secure VPN for browsing anonymously and securely
  • 360O antivirus protects your device from viruses, malware, worms, etc.
  • Password manager to generate, store, and manage passwords to keep your information safe and secure
  • PC Cloud backup to save essential files in cloud backup as a measure against hardware failure
  • Firewall for PC and Mac
  • Even more, it has parental control to manage your kids’ activities online
  • SafeCam for PC to prevent unauthorized access to your webcam

READ ALSO: McAfee Vs Norton – Which Is Better?

2. Heimdal Security (Thor Vigilance)

Thor Vigilance from Heimdal Security offers unparalleled threat detection and protection using its ‘next-gen’ antivirus engine to protect you from ransomware,e, DNS leakage, viruses, APTs, and other digital threats. This makes Thor a capable anti-pharming software for combating pharming.

Features of Thor Vigilance (Premium)

  • Next-gen antivirus engine to protect you from advanced phishing and pharming, malware, and ransomware attacks
  • Secure web browsing feature to ensure you’re clicking on safe links
  • Continuous monitoring and protection against potentially malicious files
  • Automatic app updates that ensure that your apps remain updated at all times
  • Smooth performance
  • 24/7 customer support

3. Panda Dome

Panda Dome is one of the best antivirus software at the forefront of threat protection. It is known to be the inventor of the TruPrevent technology, a series of proactive steps that prevent unknown viruses from infecting your system.

Its collective intelligence model makes Panda the precursor of Adaptive Defence Security, a model that detects, analyzes, and classifies malware automatically in real time.

Therefore, a subscription to the Panda Dome Premium version offers you a set of complete protection tools, which includes

  • A next-gen antivirus protection engine to protect your device against viruses, advanced threats, and cyberattacks, which include Phishing and Pharming
  • Premium VPN to browse the internet securely and anonymously, and also evade all forms of cyber attack
  • 24/7 technical support to give you technical assistant

4. F-Secure Total

F-Secure brings to the forefront its 30 years of experience in cybersecurity to offer you the F-Secure Total, which is a combination of

  • One of the most powerful antivirus software to protect your devices from viruses, malware, ransomware, and spyware
  • Freedom VPN is one of the top-ranked privacy protection solutions for enjoying anonymous browsing and real-time data traffic protection, even when browsing from an unsecured network.
  • Password manager for generating, securing, and protecting your passwords.

This combination of robust features makes F-Secure an anti-pharming software to reckon with.

Also Read: Use Utopia P2P Ecosystem! Keep Your Eyes Open!

5. Ivacy VPN

Ivacy VPN is a stand-alone VPN solution to pharming attacks. One of Ivacy’s most robust features is an efficient protection mechanism.

Using military-grade encryption technology protects you from data harvesters (phishing and pharming attacks), hackers, and malicious websites. Also, its multitude of dedicated high-speed servers preserves your privacy and keeps you anonymous online.

6. CyberGhost VPN

With over 6,000 servers worldwide and powerful encryption technology, CyberGhost is one of the best anti-pharming software that protects you from DNS leakage and other pharming attacks.

Therefore, CyberGhost offers an anonymous internet experience while protecting your data from all sorts of cyberattacks.

7. PureVPN

PureVPN offers you a standard VPN package, which includes data protection and encryption using military-grade encryption technology. There is also an online protection option using PureVPN’s numerous dedicated high-speed servers.

Therefore, with PureVPN’s protection features, PureVPN can offer you adequate protection against pharming attacks by preventing the illegal diversion of data traffic from your device to counterfeit websites.

Read Also: Online Security Tips for Seniors

Best Anti-Pharming Software: Frequently Asked Questions

What software can you use to stop pharming?

There isn't a single magical anti-pharming software. However, a combination of tools can significantly reduce your risk:

  • Antivirus Software: Many antivirus programs include features that can help prevent pharming attacks. These features might involve:
    • Blocking access to known malicious websites associated with pharming.
    • Warning you about suspicious links or websites.
  • Security Software Suites: Some internet security suites offer additional protection against pharming, including:
    • Web filtering that blocks access to known phishing and pharming websites.
    • DNS filtering prevents your computer from being redirected to malicious websites.
  • Password Managers: Using a password manager reduces the risk of entering your credentials on a pharming site. It automatically fills in login information for legitimate websites, reducing the chance of accidentally entering it on a fake site.

What can prevent pharming?

Here are some practices that can help prevent pharming attacks:

  • Be Cautious of Emails and Links: Don't click on links or attachments in emails from unknown senders. Verify the legitimacy of emails before interacting with them.
  • Check Website URLs: Before entering any information on a website, scrutinize the URL. Legitimate websites typically use HTTPS encryption (indicated by a lock symbol in the address bar).
  • Beware of Typos: Phishing and pharming sites often have typos or slight variations in the domain name of a legitimate website. Be cautious of URLs that don't look exactly right.
  • Use a Bookmark Manager: Instead of clicking on links in emails, use a bookmark manager to access trusted websites directly.
  • Keep Software Updated: Outdated software can have security vulnerabilities that pharming attacks can exploit. Regularly update your operating system, web browser, and other software.

What is pharming software?

There isn't technically “pharming software” in the traditional sense. Pharming is a technique used by attackers, and there aren't any programs explicitly designed to perform pharming attacks (though malware can be involved in redirecting users).

What are the solutions for phishing and pharming attacks?

The solutions mentioned above address both phishing and pharming attacks. Combining security software with cautious browsing habits significantly reduces your risk of falling victim to these scams.

What is a famous example of pharming?

In 2005, a large-scale pharming attack targeted users of Lloyds TSB, a British bank. The attack redirected users to a fake Lloyds TSB website that stole login credentials.

What kind of software can prevent hackers from entering our programs?

While pharming attacks target websites, antivirus and anti-malware software can help prevent hackers from entering your programs directly. These tools can detect and block malware that tries to infiltrate your system and steal information.

By employing a layered approach that combines security software with innovative online behavior, you can significantly enhance your online security and stay safe from pharming and other cyber threats.

Conclusion

Aside from protecting yourself from pharming attacks using a VPN and antivirus, you should also:

  • Scan removal devices before usage
  • Use two-factor authentication to protect online transactions
  • Also, it changes the password of your new WiFi router
  • Watch out for the padlock logo when browsing a website

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Top 10 Cybersecurity Trends for Web Developers in 2025

In this post, we will show you the top cybersecurity trends every web developer should expect in 2024.

The digital landscape is constantly evolving, and with it, the threats posed by cybercriminals. As web developers, staying abreast of the latest cybersecurity trends is no longer a luxury; it's a necessity.

In 2024, we can expect a continued rise in sophisticated attacks, demanding a proactive approach to securing web applications and user data.

Let's delve into the top trends web developers should be aware of and incorporate into their development practices:

READ ALSO: Web Security Guide: Keeping Your Website Safe

Top Cybersecurity Trends for Web Developers

Therefore, below are the top cybersecurity trends you should expect in 2024;

1. The Escalation of Ransomware Attacks

Ransomware attacks have become a dominant threat, crippling businesses and organizations with data encryption and extortion demands. In 2024, we can expect a rise in “Ransomware-as-a-Service” (RaaS), making these attacks more accessible to less technical criminals.

What Developers Can Do:

  • Implement robust access controls and strong authentication mechanisms, such as multi-factor authentication (MFA).
  • Regularly back up critical data and maintain offline backups to ensure recovery in case of an attack.
  • Stay updated on the latest security patches and vulnerabilities for all software and libraries used in your application.
  • Employ encryption at rest and in transit to protect sensitive data.

READ ALSO: The Crucial Role Of Cloud Computing In The Business World

2. The Emphasis on Zero Trust Architecture (ZTA)

Traditional perimeter-based security models are struggling to keep up with the increasingly distributed nature of modern applications. Zero Trust Architecture (ZTA) prioritizes “never trust, always verify,” continuously authenticating users and devices before granting access to resources.

What Developers Can Do:

  • Design applications with the principles of ZTA in mind, focusing on micro-segmentation and least privilege access controls.
  • Implement strong authentication methods and leverage API security solutions to verify access requests.
  • Integrate security considerations into the entire development lifecycle, from design to deployment.

3. The Integration of Artificial Intelligence (AI) in Cyber Defense

Artificial Intelligence (AI)

AI is making inroads into cybersecurity, offering powerful tools for threat detection, analysis, and prevention. AI-powered solutions can analyze vast amounts of data to identify anomalies and potential attacks in real-time.

What Developers Can Do:

  • Explore the use of AI-powered security solutions to augment traditional security measures.
  • Leverage automated vulnerability scanning tools to identify and address security gaps in your code.
  • Utilize machine learning algorithms to detect suspicious user behavior and potential breaches.

READ ALSO: How To Protect Your SaaS Applications Against Ransomware

4. Quantum Computing and Potential Security Risks

While quantum computing technology is still in its nascent stages, it poses a significant long-term threat to current encryption standards. These powerful computers could potentially break the algorithms that secure our online infrastructure.

What Developers Can Do:

  • Stay informed about the development of quantum computing and its potential impact on cryptography.
  • Start exploring and adopting post-quantum cryptography algorithms in anticipation of future threats.
  • Encourage collaboration between developers and security researchers to prepare for the quantum computing age.

5. The Growing Threat of Supply Chain Attacks

Cybercriminals are increasingly targeting software supply chains, compromising third-party libraries and frameworks to gain access to multiple applications. These attacks can be especially dangerous as vulnerabilities remain undetected for longer periods.

What Developers Can Do:

  • Implement secure coding practices and conduct thorough security audits for your applications.
  • Utilize dependency management tools to keep third-party libraries up-to-date and patched.
  • Work with vendors and maintain open communication regarding security vulnerabilities in their software.

READ ALSO: How to Protect Your Computer from Ransomware

6. The Growing Focus on Data Privacy Regulations

Data privacy regulations like GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act) continue to evolve, imposing stricter requirements on how companies collect, store, and use user data.

What Developers Can Do:

  • Familiarize yourself with relevant data privacy regulations and incorporate them into your development process.
  • Implement mechanisms for user consent, data minimization practices, and secure data deletion upon request.
  • Design applications with user privacy in mind, prioritizing data security and minimizing unnecessary data collection.

7. The Rise of Serverless Computing and Security Implications

Serverless architectures offer several advantages but also introduce new security considerations. Developers no longer manage underlying infrastructure, leaving them reliant on the security practices of cloud providers.

What Developers Can Do:

  • Choose reputable cloud providers with a proven track record of security.
  • Understand the shared responsibility model of security in serverless environments.
  • Implement access controls and security best practices at the application level for serverless functions.

8. The Increasing Popularity of Low-Code/No-Code Development

Low-code/no-code development platforms are becoming more popular, allowing non-technical users to build applications. However, these platforms can have security vulnerabilities if not used carefully.

What Developers Can Do:

  • Advocate for secure coding practices when using low-code/no-code platforms.
  • Ensure proper access controls and data security are implemented for applications built with low-code/no-code tools.
  • Encourage developers using such platforms to receive basic security training to identify potential vulnerabilities.

READ ALSO: The Transformative Impact of Artificial Intelligence on Surveillance and Safety

9. The Continued Importance of Security Awareness Training

Human error remains a significant factor in many cyberattacks. Security awareness training for developers equips them to identify and avoid social engineering tactics used by attackers.

What Developers Can Do:

  • Participate in regular security awareness training programs offered by your organization.
  • Stay informed about the latest social engineering techniques used by cybercriminals.
  • Report suspicious activity and potential breaches to the appropriate security personnel.

10. The Need for Collaboration and Continuous Improvement

Cybersecurity is an ongoing battle, demanding collaboration between developers, security professionals, and management. Open communication and a culture of security awareness are essential for a robust defense.

What Developers Can Do:

  • Actively participate in discussions regarding security practices within your development team.
  • Stay up-to-date on the latest security vulnerabilities and trends through conferences, online resources, and security blogs.
  • Advocate for a security-first mindset throughout the development lifecycle, integrating security considerations from design to deployment.

Conclusion

By understanding these top cybersecurity trends and actively incorporating them into your development practices, you can play a crucial role in safeguarding web applications and user data.

The digital landscape will undoubtedly evolve further in 2024, but by prioritizing security and staying informed, web developers can build a more resilient and secure online environment for everyone.

Note: This was initially published in December 2019, but has been updated for freshness and accuracy.


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