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Strategic Initiatives
CSA's strategic programs driving innovation in AI, cloud, and Zero Trust.
A public-interest 501(c)(3) dedicated to secure and trustworthy AI.

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AARM Benchmarking Framework

Open Until: 10/30/2026

Autonomous Action Runtime Management (AARM)

AARM Benchmarking Framework
This document defines the AARM Benchmarking Framework: the structure of evaluation, the metrics, the scenario set covering the eight primary threats in the AARM specification, and the rubric by which results are scored.
Key Takeaways
  • Real-World Threat Testing: Evaluate defenses against complex, multi-step attacks beyond basic conformance.
  • Comprehensive Metrics: Balance security efficacy with operational friction by tracking detection and false-positive rates.
  • Full Threat Coverage: Assess robustness across eight core categories, including prompt injection, data exfiltration, and intent drift.
  • Four-Tier Rubric: Measure progress from baseline compliance to production-grade enterprise readiness.

Contribute to Peer Review

Peer Review Agreement

By participating in this peer review, you acknowledge and agree to the following:

  • Your name will be included as a reviewer only if you provide substantive feedback (e.g., content, clarity, accuracy). Feedback limited to grammar, syntax, or formatting will not qualify for acknowledgement.
  • CSA's authors will have final discretion over which suggestions are incorporated into the document. Not all feedback will be implemented.
  • You will not plagiarize or submit unmodified AI-generated text. If using AI-generated content, you must apply your expertise to refine, reformat, or integrate it meaningfully into the document.
Peer Review Illustration

Open Until: 10/30/2026

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