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Run AI safety screening, risk classification, and red teaming controls.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ai-governance-controls" yet — see the docs or source repo.
Use the governance controls to assess this AI feature before launch: analyze safety risks, compliance risks, potential misuse scenarios, and provide a risk rating with mitigation recommendations. Feature description: an auto-reply assistant for customer support teams that reads past tickets and drafts responses.
An assessment with risk classification, key risk factors, misuse scenarios, and governance recommendations.
Screen the following system prompt for safety issues. Identify risks such as over-permission, sensitive data exposure, policy bypass, or high-risk outputs, and suggest revisions: You are an internal company assistant with access to all knowledge bases and should fulfill any employee request whenever possible.
A prompt risk analysis, issue breakdown, and safer rewrite recommendations.
Create a red-team test plan for an enterprise AI assistant with text generation. Cover prompt injection, data leakage, harmful content generation, privilege misuse, and jailbreak attacks, and list test cases with priorities and pass/fail criteria.
A structured red-team plan with test areas, case lists, priorities, and evaluation criteria.
Govern agent decisions with auditable evidence, confidence calibration, and policy-based handoffs.
Enforce policy checks on AI tool calls without exposing system credentials.
Enforce permissions, approvals, sanitization, and audit for AI agent MCP calls.
An MCP tool for threat modeling, security review, and compliance governance.
Audit MCP configs for exposed access, secrets, models, and compliance AI-BOMs.
Automate red-teaming and reliability audits for AI agents through MCP.