Import repository
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AI-native application security
Security, before your next deploy.
Sentinel AI detects, explains, and safely remediates vulnerabilities and backdoors in AI-generated code—built with Codex and powered by GPT-5.6 or Gemini.
Get started Static evidence first. AI explanation second.
DETECTORS
08
AI REVIEW
BOUND
REMEDIATION
PR-ONLY
// Operational flow
Evidence in. Reviewable action out.
Sentinel gives teams a clear path from repository selection to an auditable remediation pull request.
AI-powered scan
Static detectors establish evidence first; GPT-5.6 or Gemini explains real-world impact.
Reviewable fixes
Generate guarded patches and pull requests—never a direct write to your default branch.
// Detection surface
Designed for the shortcuts that ship with AI-generated code.
A compact, deterministic static layer catches high-signal risks before the reasoning layer adds context.
Exposed secrets
Keys, tokens, private material, and risky entropy patterns.
Insecure config
Debug modes, permissive CORS, and committed environment files.
Dependency integrity
Typosquats, obscure packages, and dangerous install scripts.
Backdoor behavior
Obfuscated execution, shell payloads, and outbound beacons.
Auth bypasses
Hardcoded comparisons and unsafe authorization conditions.
Prompt injection
Unbounded user input flowing into LLM instructions.
Unsafe model loading
Pickle, joblib, and unsafe PyTorch deserialization.
Network anomalies
Raw-IP calls and isolated, unexplained destinations.
Ready when your repository is