AEGIS — Agentic AI Security Mesh: MCP-aware proxy enforcing OWASP LLM Top-10 (injection, secrets, trajectory) with 100% red-team coverage, 74 tests, OTel
- recent drift inferred + 12
- tool safety inferred + 12
inferred
The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.
grade last moved 3d ago · see ecosystem CVEs →
No known CVEs for this server.
- high dangerous code
committed secret: AWS access key id
analyzed commit 1b99d93 · analyzer v33 · 1w ago
danger signals2
- committed secret AWS access key id aditya0si-aegis-1b99d93/data/redteam.jsonl :23
AKIAQW…(20 chars, redacted) - committed secret AWS access key id aditya0si-aegis-1b99d93/tests/test_secrets.py :10
AKIAQW…(20 chars, redacted)
- recent drift +12 capability drift →
[](https://mcpobservatory.com/servers/github:aditya0si/aegis/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of aditya0si.