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AI Red Teaming: Applying Software TEVV for AI Evaluations (CISA, November 2024)

government
CISA·cisa.gov/sites/default/files/2024-11/CISA_AI_Red_Teaming_...

Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: CISA

A U.S. government (CISA) guide on AI red teaming released November 2024; the PDF link was inaccessible at indexing time, possibly due to a reported federal funding lapse affecting the CISA website. Verify availability before citing.

Metadata

Importance: 52/100guidance documentreference

Summary

This CISA guide adapts traditional software Test, Evaluation, Verification, and Validation (TEVV) methodologies to AI red teaming contexts, providing practitioners with structured approaches for identifying vulnerabilities and failure modes in AI systems. The document is intended to help organizations systematically assess AI security risks using established cybersecurity frameworks. Note: the linked PDF appears to be unavailable at time of indexing.

Key Points

  • •Extends traditional software TEVV frameworks to address unique challenges of evaluating AI systems for security vulnerabilities.
  • •Published by CISA in November 2024 as part of broader U.S. government AI security guidance.
  • •Focuses on red teaming methodologies applicable to AI deployments in critical infrastructure and government contexts.
  • •Intended as a practical reference for cybersecurity professionals conducting adversarial AI evaluations.
  • •PDF link appears broken or removed, possibly due to federal funding lapse noted on the CISA site.

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[Skip to main content](https://www.cisa.gov/sites/default/files/2024-11/CISA_AI_Red_Teaming_Guide.pdf#main)

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Resource ID: 311f728497587caf | Stable ID: ZDQ0OWM1ZG