This guide provides identity and security teams with a practical, operational playbook for preparing their environments against machine-speed, autonomous cyberattacks.
Frontier AI models like Anthropic’s Mythos fundamentally change attacker behavior by executing existing techniques continuously, adaptively, and without human friction. As the report notes, “Mythos can continuously enumerate identities, test credentials, chain together ordinary misconfigurations, move laterally, escalate privileges, and exfiltrate data—all in one uninterrupted flow.”
Because AI-powered attacks collapse defender response time, traditional tools—IGA, PAM, and detection-heavy approaches—cannot keep pace. The guide emphasizes that identity is now the primary battlefield. Every AI-driven attack ultimately depends on access, permissions, and trust relationships. Once an attacker gains a legitimate identity, “every permission, trust relationship, delegated privilege, and authentication mechanism becomes a potential avenue for further compromise.”
Silverfort outlines a readiness assessment, a prioritized checklist, and a new model: Runtime Identity Security. This approach evaluates every authentication request inline, at machine speed, using real-time context and dynamic policies. It protects human users, service accounts, non-human identities, legacy systems, OT environments, and AI agents—areas attackers exploit most.
The guide concludes that AI-powered attacks can be stopped at the point of access through runtime identity enforcement, giving organizations a practical path to resilience without rebuilding their identity architecture.
