AI Security Tools Could Redefine Audit Standards in Crypto

AI-Powered Audits Push Costs Toward Zero

The brief release of Mythos, an AI system built to autonomously identify code vulnerabilities, has sparked debate about how artificial intelligence could reshape security expectations across the blockchain industry. As these tools become more accessible and affordable, security researchers say they may fundamentally alter what constitutes reasonable due diligence before deploying smart contracts.

For years, comprehensive security audits have been expensive enough to price out smaller projects. AI systems promise to change that equation dramatically. "It pushes the price of a basic audit toward zero," said Alexander Urbelis, chief information security officer at ENS Labs. Work that previously required weeks and substantial budgets could eventually be completed in minutes, according to CoinDesk, which first reported these developments.

Beyond Traditional Fuzzers

The technology represents a meaningful departure from existing automated security tools. Traditional fuzzers hunt for bugs by flooding programs with inputs and monitoring failures. AI systems take a different approach by attempting to understand intent.

"It's a change in degree that could likely cause a change in kind," Urbelis explained. "Machines have hunted bugs for years. But now we're talking about a fuzzer that has the capacity to reason."

Rather than simply flagging technical errors, systems like Mythos can compare what code was designed to accomplish against its actual behavior. In an industry where smart contract code is publicly visible and bug bounties carry significant rewards, that capability could substantially expand pre-launch vulnerability detection.

David Schwed, COO of blockchain security firm SVRN and founder of Yeshiva University's cybersecurity master's program, described the shift as even more fundamental. "These models now operate the way a human attacker does," he said. "They iterate, they take the next step based on what they're seeing in real time."

Continuous Monitoring Over Point-in-Time Reviews

Schwed argued the most significant change may not be vulnerability discovery itself, but rather the emergence of continuous security monitoring. "The real shift is continuous auditing with suggested remediations at a fraction of the cost, instead of a point-in-time review you can only afford once," he said.

If security reviews become inexpensive and ongoing, industry expectations could shift accordingly. Urbelis suggested AI could eventually reshape the standard of care around smart contract development. Teams have historically pointed to audit costs and complexity as reasons certain reviews were not performed. That justification weakens when sophisticated security analysis is available on demand.

"A clean AI report will be seen as no defense," Urbelis said. "A plaintiff may well argue it the other way: the tool existed, it was cheap, and you should have caught it."

Human Expertise Still Required

Both researchers emphasized that AI is unlikely to replace human auditors entirely. While machines excel at identifying coding flaws, they remain weaker at spotting economic and incentive-based vulnerabilities that have contributed to some of crypto's largest losses.

"The bugs that drain treasuries often turn on intent and adversarial incentives," Urbelis said. "Those still need an experienced human in the room."

Schwed offered a similar caution: "'Claude, audit my smart contract, make no mistakes' is not a security program. If the person running the tool can't evaluate what comes back, you haven't bought security, you've bought a false sense of it."

Many of crypto's costliest incidents have not originated from smart contract vulnerabilities at all. Urbelis pointed to the recent Drift compromise as the result of a months-long social engineering campaign targeting trusted contributors rather than protocol code. Schwed cited incidents at Ronin and Bybit, where compromised keys and manipulated signing processes played central roles.

Why it matters

As AI-powered security tools become commoditized, the legal and professional standards around smart contract deployment may need to evolve. Projects that skip readily available, low-cost AI audits could face increased liability exposure, while investors may begin expecting these reviews as baseline due diligence. The shift could democratize access to security analysis while simultaneously raising the floor for what constitutes acceptable practice.

Details were first reported by CoinDesk.