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owasp-llm

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Catch your AI's mistakes and blind spots before your customers or regulators do. iFixAi runs 45 inspections, 32 graded core plus 13 extended for frontier risks like sabotage, sandbagging, and oversight evasion. It returns a letter grade in under 5 minutes. Industry and model agnostic.

  • Updated Jul 8, 2026
  • Python
claude-security-skills

25 production-tested defensive security skills for Claude Code - WordPress, VPS, Cloudflare, Next.js hardening, AI agent guardrails, MCP security, prompt injection defense, OWASP LLM Top 10, LLM coding failure modes (slopsquatting, hallucinated APIs, sycophancy), incident response, GDPR/DACH compliance. MIT, battle-tested.

  • Updated Jun 30, 2026
  • Python

Exposure intelligence for the AI-infrastructure layer — finds and weighs leaked credentials, MCP/agent configs, git-metadata secrets, and supply-chain risk, and tells you which exposures to trust. Active verification, orphan-signal triage, SARIF dedup. OWASP LLM + MITRE ATLAS tagged.

  • Updated Jun 6, 2026
  • Python

Enterprise-grade AI security platform for automated LLM red teaming, prompt injection detection, adversarial testing, jailbreak discovery, risk scoring, and mitigation generation for local and hosted language models.

  • Updated Jun 5, 2026
  • TypeScript
ZTIF

Zero Trust Intent Framework redefines where security decisions happen — from the boundary to the behavior. Intent analysis, contextual verification, and continuous trust evaluation layered on top of OWASP input validation. Static checkpoint → dynamic security posture. NIST SP 800-228 · OWASP LLM Top 10.

  • Updated May 27, 2026
  • Jupyter Notebook

Blackwall LLM Shield is an open-source AI security toolkit for JavaScript and Python that protects LLM apps from prompt injection, sensitive data leaks, unsafe tool calls, and hostile RAG content with prompt sanitisation, PII masking, output inspection, policy enforcement, and audit trails.

  • Updated Mar 27, 2026
  • JavaScript

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