pyrit-prompt-validation

Prompt validation automates security scoring using PyRIT to test prompts for injection and jailbreak risks before deployment. This Skill runs PyRIT-based validation in CI/CD workflows, scoring prompts against an 85/100 security threshold and blocking changes that fall below it, preventing prompt-injection and jailbreak attacks in production AI systems.

Prompt validation detects jailbreak attempts, prompt-injection attacks, and information-leakage vulnerabilities in system prompts, agent instructions, and prompt templates. PyRIT-driven scoring identifies weaknesses before prompts control AI behavior in Copilot and Coding Agent workflows, reducing exposure to adversarial prompt manipulation.

Yes, prompt validation integrates directly into CI/CD pipelines using the run-pyrit-validation.ps1 script and OpenAI endpoints. You supply test prompts via environment variables (OPENAI_CHAT_ENDPOINT, OPENAI_CHAT_KEY, OPENAI_CHAT_MODEL) and gate PR merges and deployments on security score compliance, automating security checks without manual review.

Prompt validation provides actionable remediation guidance identifying specific vulnerabilities and suggesting improvements to strengthen prompts. Re-run validation after implementing recommendations and iterating on prompt design until the security score reaches or exceeds 85/100, then proceed with deployment.

Yes, prompt validation applies to system prompts, agent instructions, prompt templates, and AI prompts across Copilot and Coding Agent workflows. PyRIT scores all prompt types controlling AI behavior using the same 85/100 security threshold, ensuring consistent devsecops compliance across your AI surface.

Prompt validation requires PyRIT tooling installed, Azure OpenAI endpoints configured via OPENAI_CHAT_ENDPOINT and OPENAI_CHAT_KEY, a specified OPENAI_CHAT_MODEL, and the run-pyrit-validation.ps1 script executable in your workflow. No additional components or dependencies are needed beyond these environment prerequisites.