Read our case study to see how Silverfort stopped Mythos cold: when frontier AI achieved domain compromise in two hours, runtime controls made the difference.
In a controlled red team exercise, Anthropic’s Mythos—a frontier AI model built for advanced cybersecurity tasks—was let loose in a large enterprise production environment as an autonomous attacker. Within two hours, it had gained elevated permissions, escaped the lab, moved laterally into production, escalated privileges multiple times, and reached full domain compromise. No pauses. No hesitation. No human friction slowing it down.
The test didn’t just expose vulnerabilities. It changed the organisation’s entire frame of reference. The question was never just how an attacker gets in. It’s how fast a frontier AI attacker can turn a foothold into a catastrophe.
The answer, it turns out, is faster than any detect-correlate-triage workflow can respond.
Silverfort’s runtime identity controls were the difference. By enforcing access decisions inline, at the moment of authentication—before access was granted—Silverfort blocked Mythos’ lateral movement cold. The results were unambiguous: the team had to disable Silverfort’s defences to allow the test to continue.
Read the full case study to discover:
- How Mythos achieved full domain compromise in two hours by chaining posture gaps, over-permissioned identities, and exposed service accounts and what that means for your environment
- Why detection-based security cannot operate at frontier AI attack speed, and why runtime controls are now a non-negotiable part of the identity security stack
- How service account virtual fencing proved to be the single most effective control, eliminating a known path to domain compromise entirely