Anthropic’s Mythos Will Trigger a Cybersecurity Awakening—But Not in the Way You Expect

Anthropic announced this week that the launch of its Claude Mythos Preview model signifies a pivotal moment in cybersecurity, posing an unprecedented existential risk to current software defense strategies. So, is this merely more AI hype—or a genuine turning point?

According to Anthropic, Mythos Preview achieves a new level of capability in uncovering vulnerabilities across virtually all operating systems, browsers, and software products, autonomously creating functional exploits for hacking. To start, the firm is releasing the model to a limited number of organizations—including Microsoft, Apple, Google, and the Linux Foundation—as part of a consortium known as Project Glasswing. After years of speculation regarding the impact of generative AI on cybersecurity, this week’s revelations have sparked debate about whether a reckoning has truly arrived and what that might entail in practice.

Skepticism abounds regarding Anthropic’s assertions. Critics argue that current AI agents can already assist users in identifying and exploiting vulnerabilities more easily and cost-effectively than ever, suggesting that this trend is refining how companies detect and address their software needs without fundamentally altering the existing paradigm. Furthermore, there’s the discomfort that Anthropic is likely to gain financially by framing its latest model as enigmatic, uniquely potent, and exclusive. Conversely, some researchers and professionals concur with Anthropic’s evaluation, noting that the company claims Mythos Preview is only the first in a series of models that will introduce such capabilities.

“I typically am very skeptical of these things, and the open-source community tends to share that skepticism, but I genuinely feel like this represents a real threat,” says Alex Zenla, chief technology officer at cloud security firm Edera.

Zenla and others highlight a particular capability of Mythos Preview as a game-changer. They argue that generative AI is increasingly adept at identifying and constructing what are termed “exploit chains,” or sequences of vulnerabilities that can be exploited one after another to significantly compromise a target—essentially Rube Goldberg-style hacking. Many advanced hacking techniques utilize exploit chains, including so-called zero-click attacks that infiltrate a system without any user interaction.

“We already inhabit a world where companies operate vulnerable software and hardware and face challenges in patching. Many organizations simply can’t secure their infrastructure—that situation hasn’t really evolved from yesterday to today,” states seasoned security engineer and researcher Niels Provos. “However, from what I’ve gathered, Mythos excels at identifying multistage vulnerabilities and offers proof of exploitation. I don’t believe it fundamentally alters the problem landscape, but it does raise the skill level needed to discover and exploit these vulnerabilities.”

The early access of Mythos Preview to Project Glasswing participants provides a brief window for defenders to identify weaknesses in their own systems and begin addressing the broader challenges surrounding software development, update cycles, and patch adoption before attackers gain widespread access to such capabilities.

Industry leaders appear to be taking the warning seriously. Anthropic’s frontier red team lead, Logan Graham, informed WIRED on Tuesday that as the company reached out to organizations about Project Glasswing prior to this week’s announcement, conversations became increasingly brief as the potential threat became clearer.

“This is an issue that pertains to all model developers. Our goal is to initiate the conversation,” Graham stated. “It’s crucial that Mythos Preview is provided to defenders to give them a head start.”