Ship agentic AI you can defend
The self-service security layer for AI-assisted and agentic development. Test your prompts against real attacks, harden them, review your architecture, and assess the tools you adopt — deterministic, framework-mapped, and grounded in your actual setup.
AI Security Advisor
Paste your AI setup and get LLM-prioritized risks, a check that your models are current, and the fail-safes you may be missing — advisory, on top of the deterministic scans.
OpenAI-Config Security Scan
Every codebase analysis flags leaked credentials in CLAUDE.md / .mcp.json, unpinned or over-scoped MCP servers, and invisible-Unicode "rules-file backdoors".
OpenMCP Tool Scanner
Paste a server’s tools/list manifest and check the live tool contracts — over-broad scopes, free-form parameters with no constraints, and the read + exfiltrate triad.
OpenPrompt Injection Test Lab
Attack-test a system prompt against a curated library of injection, jailbreak, and exfiltration payloads. Get a resilience score and exactly what broke through.
OpenGuardrail Forge
Harden a leaky prompt into a reviewed defensive scaffold plus drop-in guard code — then re-run the attack suite and prove the before → after lift.
OpenArchitecture Risk Review
Describe your agent system and get a conditional-approval security sign-off mapped to the OWASP LLM Top 10 (2025) and MITRE ATLAS — from your answers, not an AI.
OpenSecure Pattern Library
Vetted reference architectures — secure RAG with trust boundaries, least-privilege MCP, human-in-the-loop with checkpointing — each with a threat model and starter code.
OpenAI Vendor Assessment
Generate the AI-specific vendor security assessment enterprise teams hand-roll today — data use, model provenance, agentic blast radius — from a short questionnaire.
OpenDeterministic by design
Every verdict here comes from human-reviewed catalogs and your own answers — not an opaque LLM judge. Findings carry their OWASP LLM Top 10, MITRE ATLAS, and CWE tags so they speak the language your security team already uses. The optional AI deep-read (Architecture Risk Review) can only add coverage — never invent a risk or move the verdict.
Informational only. This is an automated check based solely on what you provided — it can miss risks and produce false results. A passing result or high score is not a guarantee that your system, prompt, code, or vendor is secure, and is not a substitute for a professional security audit or penetration test. Verify independently before relying on it. No warranty; use at your own risk.