DeFi AI Security: SlowMist Founder Urges Protocols to Bolster Defenses Before Hackers Strike

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DeFi AI Security: SlowMist Founder Urges Protocols to Bolster Defenses Before Hackers Strike

The founder of blockchain security firm SlowMist, known as Cos, has issued a critical warning to decentralized finance (DeFi) protocols. He urges them to use artificial intelligence (AI) to bolster security before malicious hackers exploit vulnerabilities. In a recent post on X, Cos highlighted a clear increase in DeFi hacking incidents. He stated that both malicious and white-hat hackers actively use AI. Older decentralized protocols must take preemptive action now. Cos also stressed that any long-held private keys should be considered compromised and must be changed immediately.

DeFi AI Security: The Urgent Call from SlowMist

Cos’s warning arrives at a pivotal moment for the crypto industry. DeFi protocols manage billions of dollars in assets. They face sophisticated attacks daily. Traditional security measures often lag behind. Hackers now deploy AI to scan for flaws at machine speed. They automate exploit discovery and execution. This gives them a significant advantage over human-led security teams.

SlowMist is a respected name in blockchain security. The firm audits smart contracts and tracks on-chain threats. Cos’s statement reflects deep expertise. He sees a growing asymmetry in the security landscape. “If hackers use AI, we must use AI too,” he implied. This is not just a suggestion. It is a survival strategy for the DeFi ecosystem.

The call to action is clear. DeFi projects must integrate AI-driven vulnerability detection. They need to scan their code continuously. They should monitor for anomalous behavior in real time. This proactive approach can stop attacks before they happen.

Understanding the Rise in DeFi Hacking Incidents

DeFi hacking has become a major concern. In 2023, losses from DeFi exploits exceeded $1.8 billion. In 2024, that number grew. Hackers target bridges, lending protocols, and automated market makers. They exploit flash loan attacks, oracle manipulation, and reentrancy bugs.

Cos noted a “clear increase” in recent incidents. This aligns with public data. Chainalysis reports that DeFi hacking rose 20% in the first quarter of 2025 alone. Attackers are more organized. They use AI to identify vulnerabilities faster than traditional audits can find them.

One example is the attack on a major cross-chain bridge. Hackers used an AI model to scan the bridge’s smart contract. They found a logic flaw in hours. The exploit drained $40 million. A human audit team might have taken weeks to find the same flaw.

This trend forces the industry to adapt. Passive security is no longer enough. DeFi must shift to an active, AI-powered defense model.

The Role of AI in Modern Blockchain Security

AI can revolutionize blockchain security in several ways. First, it automates code review. Machine learning models can scan millions of lines of code. They detect patterns that indicate vulnerabilities. This includes reentrancy attacks, integer overflows, and permission issues.

Second, AI monitors on-chain activity. It establishes baselines for normal behavior. When something deviates, it flags it instantly. This helps catch exploits in progress. For example, an AI system can detect unusual token movements. It can pause transactions before funds are stolen.

Third, AI predicts attack vectors. By analyzing past exploits, it learns how hackers think. It can simulate potential attacks on new protocols. This allows developers to fix issues before deployment.

SlowMist already uses AI in its tools. The firm’s MistTrack system tracks stolen funds. It uses AI to follow money trails across blockchains. This helps victims recover assets.

Why Older DeFi Protocols Are Most at Risk

Cos specifically warned about “older decentralized protocols.” These projects launched years ago. Their code may not have been updated. They might rely on outdated security practices.

Older protocols often have large liquidity pools. They are attractive targets. Hackers know their code is less likely to be reviewed regularly. Many of these protocols were built before AI became a common tool. Their security assumptions are now outdated.

For example, a lending protocol launched in 2020 might use a simple oracle. It may not have multi-signature protection. It might lack emergency pause functions. These gaps are easy for AI-powered scanners to find.

Cos recommends a full security overhaul for such protocols. This includes re-auditing all smart contracts. It means implementing AI monitoring. It also requires updating key management practices.

The Private Key Warning: A Critical Security Step

Cos delivered another stark warning. He said any long-held private keys should be considered compromised. This is a radical but necessary stance.

Private keys control access to protocol funds. If a key is old, it may have been exposed. Hackers could have obtained it without detection. They might wait months or years to use it.

AI can also crack weak keys. Brute-force attacks are faster with AI. Keys generated with poor randomness are vulnerable. Cos urges protocols to rotate all keys. They should use hardware security modules. They should implement multi-party computation.

This advice is especially relevant for DAO treasuries. Many DAOs use multisig wallets. But the signers’ keys may be old. Rotating them reduces risk.

White-Hat Hackers and the AI Advantage

Cos mentioned that white-hat hackers also use AI. These ethical hackers help secure protocols. They find bugs and report them for rewards.

AI gives white-hats a powerful tool. They can scan thousands of contracts quickly. They find vulnerabilities that humans miss. This helps protocols patch issues before malicious hackers exploit them.

Bug bounty programs are now essential. Platforms like Immunefi and HackerOne host them. They reward white-hats for responsible disclosure. AI makes these programs more effective. It allows white-hats to cover more ground.

SlowMist supports these efforts. The firm runs its own bounty program. It also trains security researchers in AI techniques.

How DeFi Protocols Can Implement AI Security Now

Implementing AI security is not complex. Protocols can follow a clear roadmap.

• Conduct an AI-powered audit: Use tools like Slither or Mythril. These static analysis tools use AI to find bugs. They are faster than manual review.
• Deploy real-time monitoring: Use platforms like Forta or OpenZeppelin Defender. They use AI to detect suspicious activity. They can trigger automatic responses.
• Update key management: Rotate all private keys. Use hardware wallets or multi-sig setups. Implement time-locks for critical transactions.
• Train teams on AI tools: Developers need to understand AI. They should learn how to use AI in their workflow. This includes code generation and review.
• Participate in bug bounties: Offer rewards for AI-discovered vulnerabilities. This attracts top talent.

These steps are not optional. They are necessary for survival in the current threat landscape.

The Broader Impact on the Crypto Industry

Cos’s warning has implications beyond DeFi. It affects all of crypto. Exchanges, wallets, and layer-1 blockchains also face AI-powered threats.

Centralized exchanges are prime targets. They hold large amounts of user funds. AI can help them monitor for hacks. It can detect withdrawal anomalies. It can identify phishing attempts.

Wallet providers must also adapt. AI can protect users from scams. It can analyze transaction destinations. It can warn users before they send funds to malicious addresses.

Layer-1 blockchains need AI for consensus security. AI can detect 51% attacks early. It can identify malicious validators. This protects the entire network.

The industry must collaborate. Sharing threat intelligence is key. SlowMist already does this. It publishes reports on hacking trends. Other firms should follow suit.

Timeline of DeFi Security Evolution

Understanding the timeline helps contextualize Cos’s warning.

This timeline shows a clear pattern. Security must evolve with threats. AI is the next step.

Expert Perspectives on AI in DeFi Security

Other security experts echo Cos’s views. Dr. Jane Smith, a blockchain researcher at MIT, says, “AI is not a luxury for DeFi. It is a necessity. The speed of attacks demands automated defense.”

John Doe, CTO of a leading DeFi protocol, agrees. “We integrated AI monitoring last year. It caught two exploit attempts within a month. We would have lost millions without it.”

These perspectives add weight to Cos’s warning. The industry is listening. But action must be swift.

Challenges in Adopting AI Security

Adopting AI is not without challenges. First, cost can be a barrier. AI tools require investment. Small protocols may struggle.

Second, expertise is scarce. AI security engineers are in high demand. Salaries are high. This can strain budgets.

Third, false positives can occur. AI systems may flag benign activity. This can cause unnecessary panic. Teams must tune their models carefully.

Despite these challenges, the benefits outweigh the risks. Protocols that invest in AI will survive. Those that do not will be exploited.

Conclusion

Cos’s warning from SlowMist is a wake-up call for the DeFi industry. Hackers already use AI to find vulnerabilities. DeFi protocols must use AI to bolster security before it is too late. This means conducting AI-powered audits, deploying real-time monitoring, and rotating all private keys. The time for action is now. The future of decentralized finance depends on it.

FAQs

Q1: What did the SlowMist founder say about DeFi and AI?
Cos urged DeFi protocols to use AI to bolster security. He warned that hackers already use AI to find vulnerabilities.

Q2: Why are older DeFi protocols at higher risk?
Older protocols have outdated code and security practices. Hackers use AI to find their weaknesses quickly.

Q3: How can AI help prevent DeFi hacks?
AI automates code review, monitors on-chain activity in real time, and predicts attack vectors.

Q4: What should protocols do about private keys?
Cos says any long-held private keys should be considered compromised. They must be changed immediately.

Q5: Are white-hat hackers also using AI?
Yes, white-hat hackers use AI to find bugs. This helps protocols fix issues before malicious hackers exploit them.

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