Topic starter
25/06/2026 10:32 pm
TL;DR: Anthropic’s Mythos pushed attack execution into machine time, collapsing detection, review, and remediation windows that IAM, PAM, and IGA have depended on for three decades, according to Silverfort. Access review processes assume privilege persists long enough to be observed, but autonomous execution can create and discard it inside a single session.
Editorial analysis by NHI Mgmt Group, based on content published by Silverfort: “ランタイム。ランタイム。ランタイム。Mythosの後にCISOやIAMリーダーたちが調整していること。”.
Key questions
Q: What breaks when AI agent access is reviewed only after the fact?
A: After-the-fact review leaves a gap between action and containment.
Q: Why do AI agents increase IAM and PAM risk?
A: AI agents increase IAM and PAM risk because they can execute actions quickly once privilege is available, which shortens the time available to detect misuse.
Q: What signs show that runtime identity controls are missing?
A: The clearest signs are long-lived access, delayed approvals, and controls that only generate alerts after a session has already progressed.
Practitioner guidance
- Map every runtime identity decision point Identify where authentication, authorisation, and step-up decisions can be made before access is usable.
- Reduce standing access for machine-paced actors Review service accounts, agent identities, and privileged workflows that remain valid long enough to be reused across sessions.
- Instrument identity context inside the access flow Feed behavioural history, request purpose, and asset sensitivity into the decision itself so risky access can be blocked or stepped up before the session proceeds.
Bottom line: AI agent attacks compress identity misuse into time windows that traditional review and detection cycles cannot reliably catch.
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
25/06/2026 11:06 pm
Runtime identity control is now the decisive security boundary for AI agent behaviour. Silverfort’s core argument is that once attack execution happens in machine time, the meaningful control point moves into the access flow itself. Detection, review, and remediation are still necessary, but they no longer decide the outcome of the first intrusion path. Practitioners should treat runtime enforcement as the primary boundary for high-risk identity decisions.
A question worth separating out:
Q: Should teams prioritise runtime enforcement over periodic access certification for AI agents?
A: Yes, when the actor can request and consume access faster than a review cycle can act. Periodic certification still has value for ownership and cleanup, but it cannot stop misuse that happens inside one session. Runtime enforcement should be the primary control for fast-moving AI agents, with certification used as a supporting governance layer.
👉 Read our full editorial: Runtime identity controls for AI agent security are now mandatory