[Backlog]: Standard Evaluation Framework for GenAI Red Teaming

[vishaljindal1990]

Checklist

• Backlog entry requires creating new sandboxes.
• Backlog entry requires creating new exploitation code and/or tutorials.

CVE List

No response

Description

As the repository expands with diverse attack scenarios (e.g., embedding attacks, memory poisoning), there is a need to introduce a standardized evaluation framework to measure the effectiveness and impact of red teaming exercises.

Today, individual sandboxes and exploitation modules demonstrate vulnerabilities, but there is no consistent way to:

• evaluate outcomes
• compare results across tools
• quantify security posture

Proposal

Introduce a common evaluation layer that defines:

• Standard schema for recording results:

  • attack type
  • target component (LLM, RAG, agent, tool)
  • outcome (success/failure)
  • impact category (data leakage, privilege escalation, etc.)

• Core metrics, such as:

  • prompt injection success rate
  • data exfiltration success
  • tool misuse / agent deviation
  • hallucination-induced risk

• Mapping to existing standards:

  • OWASP Top 10 for LLM Applications
  • MITRE ATLAS

• Reusable reporting format (JSON + human-readable)

Value

• Enables consistent comparison across sandboxes and tools
• Transforms the lab into a benchmarking platform
• Provides a foundation for future scoring and policy enforcement layers

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