[Backlog]: Policy-Driven Guardrails Based on GenAI Red Teaming Results

[vishaljindal1990]

Checklist

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

CVE List

No response

Description

Current red teaming efforts focus on identifying vulnerabilities, but there is a gap in translating these findings into enforceable controls for real-world systems.

Organizations need a way to:

• define acceptable risk thresholds
• prevent deployment of insecure GenAI applications
• continuously validate systems against known attack patterns

Proposal

Introduce a policy-driven guardrails layer that integrates red team findings into deployment workflows:

• Define policy rules, such as:

  • block deployment if prompt injection success rate exceeds threshold
  • fail if sensitive data leakage is detected
  • restrict usage of untrusted models or unsafe configurations

• Enable policy-as-code integration:

  • compatible with CI/CD pipelines
  • reusable across sandboxes and environments

• Provide reference implementations:

  • sample policies
  • integration examples with evaluation/reporting outputs

Value

• Bridges red teaming → real-world enforcement
• Enables continuous security validation
• Helps define what “secure enough to deploy” means for GenAI systems

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