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Audit AI agent permissions by scanning credential, injection, and reach risks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "aegis" yet — see the docs or source repo.
Use aegis to scan our AI agent configuration and toolchain. Check for exposed credentials, prompt injection paths, and whether the agent can reach systems or data beyond expectations. Return a risk list and remediation advice.
A severity-ranked audit report listing credential, injection, and reach issues with remediation steps.
Before release, run a rapid security review with aegis on this newly deployed AI assistant. Identify high-risk permissions, possible injection entry points, and unnecessary external connections, then conclude whether it is ready to launch.
A pre-release check result with blockers, warnings, and a launch recommendation.
Use aegis to analyze this AI agent’s current permissions and reachable resources. Find over-permissioning, lateral access, and sensitive data exposure risks, and suggest a least-privilege configuration.
A least-privilege recommendation report explaining what access should be reduced and how to adjust it.
Enable enterprise auth, token validation, and access control for AI agents.
Build, deploy, and operate secure, observable AI agent MCP infrastructure.
Govern and audit AI agents with safety checks, reasoning, and session controls.
Scan MCP server configs for injections, secrets, and dangerous commands.
Investigate agents, conversation threads, and content trust signals for analysis.
Test API compatibility for AI agents with scores, grades, and recommendations.