Session Risk Memory (SRM): Temporal Authorization for Deterministic Pre-Execution Safety Gates

📰 ArXiv cs.AI

Session Risk Memory (SRM) is a deterministic module that enhances pre-execution safety gates with temporal authorization to detect distributed attacks

advanced Published 25 Mar 2026
Action Steps
  1. Implement SRM as a module in existing pre-execution safety gates
  2. Train SRM on a dataset of authorized and malicious trajectories
  3. Integrate SRM with agent action evaluation to detect distributed attacks
Who Needs to Know This

AI engineers and security teams can benefit from SRM to improve the security of their agent-based systems, as it provides an additional layer of protection against complex attacks

Key Insight

💡 SRM provides a way to evaluate the risk of a sequence of actions, not just individual actions, to prevent complex attacks

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🔒 Introducing SRM: a lightweight module that enhances safety gates with temporal authorization to detect distributed attacks

Key Takeaways

Session Risk Memory (SRM) is a deterministic module that enhances pre-execution safety gates with temporal authorization to detect distributed attacks

Full Article

Title: Session Risk Memory (SRM): Temporal Authorization for Deterministic Pre-Execution Safety Gates

Abstract:
arXiv:2603.22350v1 Announce Type: new Abstract: Deterministic pre-execution safety gates evaluate whether individual agent actions are compatible with their assigned roles. While effective at per-action authorization, these systems are structurally blind to distributed attacks that decompose harmful intent across multiple individually-compliant steps. This paper introduces Session Risk Memory (SRM), a lightweight deterministic module that extends stateless execution gates with trajectory-level a
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