The Anti-Virus for AI Artifacts & RAG Firewall. A static analysis tool scanning Models and Notebooks for RCE, Datasets and RAG docs for Data Poisoning, PII, and Prompt Injections. Secure your AI Supply Chain.

RAG/LLM Security Scanner identifies critical vulnerabilities in AI-powered applications, including chatbots, virtual assistants, and knowledge retrieval systems.

Local RAG system with a built-in governance agent that filters sensitive or restricted information with separated agent logging systems to keep privacy and security

Scanner for adversarial hubs in RAG and vector databases

RAG Poisoning Lab — Educational AI Security Exercise

Deterministic security testing for RAG pipelines: measure retrieval-induced data leakage with CI-ready metrics.

An AI Security Testing Playbook with labs for prompt injection, RAG poisoning, and tool attacks

Runtime defense for AI agents. 24 inline defenses, 3 output scanners, MCP server, framework adapters.

Reproducible security benchmarking for the Deconvolute SDK and AI system integrity against adversarial attacks.

Omega Walls — a deterministic runtime security layer for RAG and AI agents that detects prompt injection, tool abuse, and data exfiltration via cumulative risk modeling.

Dual-Stage Temporal Poisoning Attack on RAG Systems

Security case study: RAG prompt injection on AWS Bedrock Knowledge Bases + layered mitigations (retrieval scoping + output gating).

Open-source security layer for agentic AI. Monitor prompts from injection, jailbreak and more in real-time. All local.

Protect applications by managing untrusted content with a stateful runtime that enforces risk states and controls actions in RAG and agent systems.

Offensive and defensive security skills for AI/LLM systems

Offensive security platform for agentic AI infrastructure

Stop memory poisoning attacks on your AI agents

🤖 Build your own local Retrieval-Augmented Generation system for private, offline AI memory without ongoing costs or data privacy concerns.