Anthropic’s Project Glasswing gives security teams access to Claude Mythos models to find exploit chains that traditional scanners miss. Comcast used the model to uncover a critical authentication flaw across 258 systems and 170 million lines of code, while Booz Allen identified a device‑startup vulnerability that could allow indefinite lock‑or‑erase bypass. Both companies report faster discovery and quicker remediation thanks to the models’ ability to reason across code, configuration, and runtime behavior.
Earlier this year, Anthropic launched Project Glasswing , a limited access program to give defenders of the world’s critical infrastructure a head start on securing their codebases. This week, we launched a new, expanded version of our Cyber Verification Program (CVP) that makes advanced cyber capabilities and reduced blocking classifiers available to qualifying security professionals.
As part of Project Glasswing , organizations defending critical infrastructure have put Claude Mythos models to work on the systems they defend. Across these organizations, one theme emerged: while existing cybersecurity tools can identify single vulnerabilities in a silo, exploit chains, where an attacker links several individually minor weaknesses into a path to something serious, are much harder to trace. Models like Claude Mythos help piece together code, configuration, and live application behavior so that organizations can catch both ordinary single-file bugs and the sophisticated cross-system vulnerabilities that only appear when components interact.
We spoke with security leaders from Comcast and Booz Allen who participated in the program about what Claude Mythos-class models found in their environments and how it’s changing the way their teams defend against attacks.
Comcast, a global media and technology company, used Claude Mythos Preview to identify a critical authentication vulnerability in a public-facing platform during an assessment covering 258 business-critical systems and approximately 170 million lines of code. The issue could have allowed an attacker to bypass authentication controls and was remediated before any evidence of exploitation was observed.
“Discovery is becoming faster,” said Noopur Davis, EVP, Chief Information Security and Product Privacy Officer, Comcast. “Discovery is becoming easier. The volume of findings is enormous. Validation of these volumes of findings is the new bottleneck."
The finding emerged from Claude Mythos Preview's ability to reason across a complex software ecosystem rather than evaluating individual files or components in isolation. The vulnerability was not caused by a single defective component. Instead, it arose from the interaction of multiple systems and assumptions that appeared correct when reviewed independently. By maintaining context across code, configuration, and application behavior, Claude Mythos Preview identified a security gap that emerged across multiple interacting components, making it difficult to detect through conventional approaches.
The use of frontier AI models to detect complex exploit chains demonstrates a shift toward automated, continuous security assessment, potentially raising the bar for defensive capabilities in the AI industry.