Toolkit to assess and determine model provenance
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Updated
Sep 19, 2026 - Python
Toolkit to assess and determine model provenance
Runtime security for AI agents. In-process, zero dependencies, Apache 2.0.
Ultra-fast AI reverse proxy with semantic cache, PII masking, budget controls, and smart failover — featuring a stunning TUI dashboard
The open-source firewall for AI agents. Control what your agents do — policy enforcement, MCP security scanning, zero-trust identity, sandboxing, and reliability. 10/10 OWASP. One pip install.
Agent Context & Memory Poisoning Detector - Zero-dependency analyzer for agent memory stores and conversation logs. Detects OWASP Agentic Top 10 ASI06 poisoning patterns.
Oblivion / the-recursive-threshold. When AI starts helping build the AI that comes next: recursive self-improvement, autonomous agents, cyber risk, nuclear stability, and the control gap. Bardiya Shokri
RAG Knowledge Base Poisoning Detector - Zero-dependency static analyzer that scans documents BEFORE embedding. Detects prompt injection, hidden instructions, and content manipulation. Addresses OWASP Agentic Top 10 ASI06.
A reproducible adversarial ML lab that demonstrates TextFooler, BERTAttack, and DeepWordBug attacks against transformer-based sentiment models, with Docker automation and adversarial security reporting.
Agent Orchestration Static Security Analyzer - Zero-dependency static analyzer for LangChain, CrewAI, AutoGen, and LangGraph agent code. Detects OWASP Agentic Top 10 security antipatterns.
LLM Output Sanitization Checker - static analyzer for unsafe LLM output handling
AI Hallucination Squatting Detector for Python Dependencies - detects packages LLMs commonly 'invent'
Vibe-Coded Python Security Linter - catches AI-typical security mistakes
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