Anthropic’s secretive Mythos AI can hunt crypto smart contract flaws at machine speed, and billions in DeFi could vanish fast

Anthropic's Mythos threat to the crypto industry can trigger hundreds of millions, if not billions, of dollars in sudden, irreversible losses. That is the stark reality facing digital asset markets following Anthropic’s quiet unveiling of Claude Mythos Preview, a vulnerability-seeking AI model the San Francisco startup admits is simply too dangerous to release to the public. Deddy David, chief executive of blockchain security firm Cyvers, told CryptoSlate about the catastrophic scale of the problem, noting that the financial exposure of AI-driven exploits in crypto ranges from hundreds of millions to billions of dollars. Related Reading AI agents spend just $1.22 to shatter smart contract security exposing a terrifying economic reality Automated exploit discovery is becoming cheaper than a coffee, forcing a total rethink of how digital assets are secured. Dec 3, 2025 · Gino Matos He said: “If AI can identify vulnerabilities at scale across core internet infrastructure, crypto will be one of the first markets to feel the impact.” If those estimates are correct, the scope of potential damage is staggering. Moreover, the scale of this new threat isn’t just about bad actors writing slightly better phishing emails or generating malicious code snippets. Instead, it is about an autonomous system capable of finding deep, emergent logic flaws across smart contracts, wallets, and cross-chain bridges before human auditors even know where to look. For years, crypto founders and security researchers have obsessed over “Q-Day,” the theoretical future date when a quantum computer becomes powerful enough to shatter blockchain cryptography. But Mythos recent launch is forcing a pivot. Security experts have noted that the most immediate threat to digital assets is no longer a future attack on cryptography. It is an AI system that can already uncover exploitable flaws in the very software layer the industry depends on. Related Reading What are cross-chain bridges and why do they matter? While DeFi promises a world where people can transfer their money without the hassle and transaction fees of banks, anybody who has tried to convert some ETH to some BNB recently knows it’s not so simple. Nov 21, 2021 · Footprint Analytics Anthropic's Mythos cyber model changes the timeline Anthropic’s Mythos model fundamentally rewrites the timeline of infrastructure risk. According to the company , the model has already successfully identified vulnerabilities across every major web browser and operating system. In one alarming instance, it unearthed a 27-year-old bug buried in a critical piece of security infrastructure, alongside multiple deep-seated flaws within the Linux kernel. This was also corroborated by the UK government's AI Security Institute (AISI), which noted : “Our evaluation of Mythos Preview shows that it – and potentially future models – could be directed to autonomously compromise small, weakly defended, and vulnerable systems if given network access.” The primary danger from these revelations is not simply that artificial intelligence makes cyber risk possible. Hackers have always existed. It is that AI radically compresses the time between bug discovery and exploit development. This means that vulnerability research that historically required months of painstaking human labor can now be executed at machine speed. For the traditional financial system, this represents a severe escalation in the cyber arms race. For the crypto industry, where transactions are instantaneous, irreversible, and governed entirely by autonomous code, it represents an immediate, systemic vulnerability. Mythos AI reframes blockchain security as an immediate software-layer threat, with autonomous models compressing exploit discovery from months to seconds and exposing crypto’s open, irreversible systems to machine-speed attacks. Why crypto may be exposed faster than banks The architecture of the crypto ecosystem makes it uniquely vulnerable to machine-speed auditing. While traditional banks rely on siloed, proprietary networks with centralized fail-safes and circuit breakers, the digital asset sector runs almost entirely on public code. The industry is built on open-source dependencies, browser-based wallets, remote procedure call infrastructure, and smart contracts that are completely transparent to anyone or any AI model wishing to inspect them. This transparency creates a massive, publicly available attack surface. Compounding the risk is a severe structural mismatch between the value secured on-chain and the security budgets of the organizations that maintain it. Lean protocol teams frequently manage aging codebases that hold hundreds of millions of dollars in total value locked. Alex Svanevik, the chief executive of the agentic trading platform Nansen , told CryptoSlate : “Mythos is a different kind of threat: it’s already finding vulnerabilities in the infrastructure crypto runs on that humans and every automated tool missed for decades.” When