Anthropic’s Mythos AI Exposes Hidden Crypto Security Cracks Beyond Smart Contracts

Anthropic’s Mythos, described by CoinDesk as an AI model that reveals “hidden cracks” in crypto, is driving a shift in how the industry thinks about security beyond smart contracts.

“AI is making crypto security cheaper, faster and harder to ignore As AI-powered security tools become cheaper, faster and more widely available, researchers said they could reshape what the crypto industry considers reasonable due diligence before deploying code, potentially altering expectations for developers and institutions”

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Paul Vijender, head of security at Gauntlet, said, “The major risks reside in the infrastructure,” and he warned that AI-assisted attacks can target human and infrastructural layers.

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CoinDesk reports that Mythos pushes attention toward key management systems, signing services, bridges, oracle networks, and the cryptographic layers that connect them, which are “less visible than smart contracts.”

CoinDesk also links the new focus to real-world incidents, noting that Vercel disclosed a security breach that could have exposed clients’ API keys and traced the intrusion to a compromised Google Workspace login via Context.ai.

In that framing, CoinDesk says Mythos simulates adversaries by exploring how protocols interact and testing how small weaknesses can be combined into real exploits, including in composable systems where risk can propagate across integrations.

CoinDesk also reports that AI security tools like Mythos could make smart contract audits cheaper and faster, with researchers saying it may reshape what developers and institutions consider reasonable due diligence.

Alexander Urbelis, chief information security officer at ENS Labs, said, “It pushes the price of a basic audit toward zero,” and he described a shift from traditional fuzzers to systems that can “reason.”

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David Schwed, COO of SVRN and founder of the cybersecurity master’s program at Yeshiva University, argued that the “real shift is continuous auditing with suggested remediations at a fraction of the cost,” rather than a point-in-time review.

CoinDesk quotes Urbelis warning that “A clean AI report will be seen as no defense,” and it describes how a plaintiff could argue the tool existed and was cheap.

Even with that promise, CoinDesk says neither researcher believes AI will replace human auditors, with Urbelis arguing that “Those still need an experienced human in the room.”

DiarioBitcoin frames the AI debate by saying AI does not threaten Bitcoin’s network directly, while arguing that centralized exchanges are the most exposed frontline to attacks, fraud, and reputational damage.

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Yan Pritzker, Swan Bitcoin’s Chief Technology Officer, stated, “Bitcoin is fundamentally secured by cryptography and a set of shared rules,” and he said cryptography itself is not affected by AI.

DiarioBitcoin says exchanges such as Coinbase, Robinhood, Gemini, and Bullish collect personally identifiable information and manage real-time money flows, which it describes as making them top targets.

Cosmo Jiang, General Partner at Pantera Capital, is quoted saying, “any system that handles money in real time will be a place where cybersecurity holes will be sought.”

The same source adds that Owen Lau, an analyst at Clear Street, warned about reputational risk from AI agents that can generate fraudulent emails and synthetic identities, expanding the attack surface through deception techniques.