New Era of On-Chain Security in the AI Age: From Telegram Channel Recommendations to Upgraded Intelligent Defense Systems

If you have recently been active in the Web3 security community recommended in Telegram channels, you will notice a clear trend: on-chain scams are becoming increasingly “precise,” and hackers are no longer relying on traditional mass messaging but are using AI to generate highly personalized phishing content. This reflects a harsh reality—when attackers embrace automation and intelligence, a defense system that still relies on manual judgment will become the biggest bottleneck for large-scale Web3 adoption.

Industrialized Attacks: AI Reshaping the On-Chain Threat Landscape

Over the past decade, Web3 security risks mainly stemmed from code vulnerabilities, but by 2026, a significant change is underway—attacks are becoming industrialized, while user defenses have not kept pace.

Hackers can now analyze on-chain and off-chain data using AI to automatically generate customized fraud content, even perfectly mimicking your friends’ speech patterns on social platforms. This means that even the most cautious individual users find it difficult to defend against large-scale, systematic attacks.

Imagine a simple Swap transaction, from creation to confirmation, with risks almost everywhere in its entire lifecycle:

• Before interaction: You might land on a phishing page disguised as the official website or download a fake DApp with a hidden backdoor
• During interaction: You could be interacting with a malicious contract containing harmful logic, with your counterparty already marked as a scam address
• Authorization phase: Hackers trick you into signing a transaction that seemingly does nothing but actually grants them “unlimited transfer permissions”
• After submission: Even if all operations are correct, MEV bots might intercept your transaction in mempool and perform sandwich attacks to steal profits

This risk throughout the entire process makes passive defenses like “keep your seed phrase safe, don’t click on unknown links” completely insufficient.

AI Defense: Building a 24/7 Security Shield

In the face of industrialized attacks, defense systems must upgrade to intelligent solutions. AI plays two main roles in Web3 security:

For ordinary users, AI becomes a 24×7 security assistant:

When you receive a Telegram channel recommendation link claiming a “free airdrop,” AI will not only check if the URL is blacklisted but also analyze the project’s social buzz, domain age, and contract fund flows in depth. If the link is linked to a newly registered fake contract with no funds, AI will display a prominent warning on your screen.

More importantly, malicious authorization detection. When you sign a transaction, AI performs a full simulation in the background, straightforwardly telling you: “After executing this, all your ETH will be transferred to address A”—the ability to convert complex code into intuitive consequences is the strongest weapon against authorization attacks.

On protocol and product sides, AI has achieved a leap from static auditing to real-time defense:

Traditional audits require human experts to review code line-by-line over weeks, but AI-driven automated auditing tools can model logic for tens of thousands of lines of code within seconds, simulating thousands of extreme transaction scenarios, and identifying subtle vulnerabilities or logical traps before deployment.

Platforms like GoPlus have already demonstrated this in practice. Their SecNet firewall allows users to configure on-chain rules, checking the safety of each transaction in real-time, covering transfer protection, authorization safeguards, anti-mooning tokens, MEV protection, and more. When risks are detected, the system actively intercepts transactions.

Additionally, GPT-style AI security advisors are emerging to provide 24/7 on-chain security consultations for ordinary users, quickly offering solutions for emergencies. The core value of such systems is not in “100% accuracy,” but in shifting risk detection from post-incident to during and even before.

Multi-Dimensional Defense System: Collaboration of Technology, Awareness, and Tools

It should be clarified that AI is not万能. As a tool, its true role is to minimize human judgment errors while preserving user sovereignty.

An effective security system must combine three elements: powerful AI technology, vigilant user awareness, and good coordination among tools. Relying solely on one system or model is dangerous.

Looking back at the evolution of Web3 security, a clear upgrade trajectory emerges: early on, it was “keep your seed phrase safe”; mid-term, “don’t click on unknown links, revoke permissions promptly”; and now, security is becoming a continuous, dynamic, and intelligent process. The introduction of AI does not weaken decentralization; on the contrary, it makes decentralized systems more accessible to ordinary users. It hides complex risk analysis in the background and transforms key judgments into intuitive prompts, gradually turning security from an extra burden into a default capability.

Accessing Security Information: The Practical Value of Telegram Channel Recommendations

In this endless race of defense, users need to establish multi-layered information channels. The importance of Telegram channel recommendations lies not only in their real-time nature but also in the high concentration of security communities.

Many well-known security firms and research institutions maintain official channels on Telegram, providing real-time updates on new attack methods, contract vulnerability alerts, and defense tool updates. Through these channels, ordinary users can quickly access cutting-edge security information and stay synchronized with professional security teams.

This means that beyond AI automatic defenses, users also need to actively acquire and learn the latest security knowledge—this is the value of communities like Telegram. Combining AI-based automatic defense with the latest security intelligence from Telegram channels enables users to build a relatively complete self-defense system.

The Future: Security as a Scalable, Reproducible Capability

When attackers have started using AI, refusing to adopt intelligent defenses is itself a risk. This race has no endpoint, but the logic of the winners is clear—those who know how to leverage AI and community resources to arm themselves will build the most resilient defenses.

The deepest significance of integrating AI with Web3 is not to create absolute security but to make security a scalable, replicable capability, allowing every user to enjoy protection levels comparable to institutions. In this era, security defense is no longer an extra cost but a prerequisite for entering the Web3 ecosystem.