Anthropic’s Mythos AI Is a Bigger Threat to DeFi Than Quantum Computing, Researchers Say
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Anthropic’s Mythos AI Is a Bigger Threat to DeFi Than Quantum Computing, Researchers Say

Anthropic’s latest AI model, Mythos, poses a more immediate danger to decentralized finance than quantum computing, according to a growing chorus of security researchers. The warning comes as Mythos demonstrates new ability to identify and exploit smart contract vulnerabilities.

Unlike quantum computing, which remains years away from practical application against blockchain cryptography, Mythos is here now and actively being used to probe DeFi protocols. Researchers at multiple security firms have documented cases where Mythos-generated exploit code successfully identified vulnerabilities that human auditors missed.

“It’s not close,” said Dr. Elena Vasquez, head of AI security at CertiK. “Quantum is a theoretical threat for 2030+. Mythos is finding real exploits in production contracts today.”

## What Makes Mythos Different

Previous AI models could assist with code review but lacked the reasoning ability to chain multiple vulnerabilities together into a working exploit. Mythos changes that. The model can analyze a smart contract’s full codebase, identify logical flaws, and generate functional proof-of-concept exploit code.

In controlled tests, Mythos identified vulnerabilities in 60% of unaudited DeFi contracts it analyzed within five minutes. By comparison, traditional automated audit tools catch roughly 20-30% of the same class of bugs.

The concern is compounded by the open availability of the model. While Anthropic has set up safety guardrails, independent researchers have demonstrated that these can be bypassed with carefully crafted prompts.

## DeFi’s Response

Major DeFi protocols are racing to adapt. Uniswap, Aave, and Curve have all engaged AI security firms to run Mythos-based audits alongside traditional human reviews. Some protocols are developing AI-resistant contract patterns that deliberately introduce ambiguity that confuses automated analysis.

“The arms race has begun,” said Marco Rossi, CTO of security firm OpenZeppelin. “We’re seeing both defensive and offensive uses of AI in DeFi security. The protocols that adapt fastest will survive.”

Several security startups have emerged specifically to offer AI-vs-AI protection, using one model to find vulnerabilities and another to patch them in real-time.

## The Quantum Comparison

Quantum computing researchers push back against the comparison, arguing that when fault-tolerant quantum computers arrive, they’ll break the cryptographic foundations of all blockchains simultaneously. Mythos, by contrast, finds bugs in specific projects but cant break fundamental blockchain security.

“Comparing Mythos to quantum is apples and oranges,” said quantum researcher Dr. Kenji Nakamura of MIT. “Mythos exploits contract-level bugs. Quantum breaks the cryptography itself. Both are serious, but they operate at completely different levels.”

For now, DeFi protocols would be wise to treat AI-augmented attacks as their primary security concern rather than a distant quantum threat.

## FAQ

**Q: Can Mythos break Bitcoin or Ethereum?** A: No. Mythos exploits vulnerabilities in smart contract code, not the underlying blockchain protocol. Bitcoin and Ethereum’s core consensus mechanisms arent affected by AI vulnerability discovery.

**Q: Should DeFi projects stop using AI for audits?** A: No — AI audits are becoming standard practice. The concern is that attackers also use AI, so projects need AI-powered defenses to keep up. Relying solely on traditional audits is riskier than ever.

**Q: Is Anthropic responsible if Mythos is used for hacks?** A: Anthropic has set up safety measures, but the model is available through APIs and some open-weight versions. The company faces increasing pressure to add stronger protections against malicious use of its models.

cg_editor

cg_editor

Crypto Reporter

cg_editor covers cryptocurrency markets, blockchain technology, and decentralized finance for CryptoGazette.

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