Anthropic launches Mythos, boosting National Power’s AI capabilities today.

Anthropic’s Claude Mythos has already turned the cybersecurity world on its head, flagging a 27‑year‑old flaw in a piece of open‑source software that underpins every major operating system and browser. According to the Chinatalk podcast, the bug had survived “millions of automated tests” and the scrutiny of countless human experts before Mythos exposed it, a feat the hosts described as “by far the best automated system in the world” for vulnerability discovery (Chinatalk). The model’s success isn’t a lucky fluke; it repurposes Anthropic’s general‑purpose language engine for the very specific tasks of finding weaknesses and sketching exploit paths, a capability that Ben Buchanan, former senior AI advisor at the White House, says rivals the top tier of human security researchers (Chinatalk).

National Power, the UK‑based energy giant that partnered with Anthropic, is now integrating Mythos into its defensive stack, hoping to stay ahead of attackers who could soon wield similar AI‑driven tools. The podcast’s co‑host Jordan Schneider noted that the “raw capability” Mythos brings could reshape how critical‑infrastructure firms patch software, turning what was once a periodic, labor‑intensive process into a near‑real‑time hunt for hidden flaws (Chinatalk). Michael Sulmeyer, former Assistant Secretary of Defense for Cyber Policy, warned that the discovery of such deep‑seated bugs could make “critical infrastructure patching … a nightmare” if defenders can’t keep pace with AI‑generated exploits (Chinatalk).

The implications stretch far beyond a single vulnerability. In a scenario the hosts likened to an “atomic bomb of cybersecurity,” Mythos could tip the offense‑defense balance in conflicts where one side has access to the model and the other does not. Schneider asked whether a Ukraine equipped with Mythos and a Russia without it would change the dynamics of the war, a question that underscores the geopolitical stakes of AI‑augmented cyber tools (Chinatalk). While Anthropic’s own commercial rollout remains under wraps, the partnership with National Power signals a shift toward private‑sector “vulnerabilities equities” processes, where firms might monetize the discovery and remediation of zero‑day flaws (Chinatalk).

Even the most seasoned developers are feeling the tremor. Sulmeyer recounted a conversation with an original author of the compromised code, who responded with stunned silence after learning that a machine had finally proved the software insecure (Chinatalk). That moment captures the broader cultural shock: for decades, the industry has operated under the assumption that mature open‑source components are effectively “axiomatic” in their security, a belief now shattered by an AI that can see through layers of legacy code that human eyes missed. As the Hudson Institute, which funded the podcast discussion, points out, the next frontier may be “vibe‑coded” ransomware that adapts its payload on the fly, leveraging the same generative techniques that powered Mythos’s discoveries (Chinatalk).

Anthropic’s breakthrough arrives at a time when the race to embed AI into every layer of cyber defense is accelerating. By turning a general‑purpose language model into a hyper‑specialized vulnerability hunter, Mythos offers a glimpse of a future where automated exploit discovery is not a research project but a production‑grade service. For National Power, the immediate benefit is a sharper shield against attacks that could cripple power grids; for the broader industry, it is a warning that the “atomic bomb” of AI‑driven cyber offense is already in the field, and the only way to stay safe may be to arm the defenders with the same technology.