Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪

DeepTeam is a framework to red team LLMs and AI agents.

The fastest Trust Layer for AI Agents

Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.

Ultra-fast, low latency LLM prompt injection/jailbreak detection ⛓️

Open Source Reliability Harness: Make your agents follow rules. One line of code to‎ ‎enforce, trace, and improve. ‎ ‎

The Open Source Firewall for LLMs. A self-hosted gateway to secure and control AI applications with powerful guardrails.

Prompt-injection guardrail for LLM applications. Compact model that outperforms larger open-source guards. No regex, no signatures. Demo: anton.securelayer7.net

A production-grade control layer that sits between your application logic and any LLM — input validation, schema enforcement, circuit breaking, targeted retry, and audit logging in one composable pipeline.

A TypeScript library providing a set of guards for LLM (Large Language Model) applications

LMAP (large language model mapper) is like NMAP for LLM, is an LLM Vulnerability Scanner and Zero-day Vulnerability Fuzzer.

Real-time guardrail runtime for AI agents.

Official Python SDK for RAIL Score. LLM evaluation across 8 dimensions, guardrails, safe regeneration, agent tool-call eval, and compliance (GDPR, HIPAA, EU AI Act, India DPDP).

Offical repository for NeurIPS 2025 paper "From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring".

LLM prompt injection detection for Go applications

Veil Armor is an enterprise-grade security framework for Large Language Models (LLMs) that provides multi-layered protection against prompt injections, jailbreaks, PII leakage, and sophisticated attack vectors.

Official JavaScript and TypeScript SDK for RAIL Score. Type-safe LLM evaluation across 8 dimensions, guardrails, policy engine, safe regeneration, and multi-framework compliance.

Engineered to help red teams and penetration testers exploit large language model AI solutions vulnerabilities.

Merge gates and safety checks for AI coding agents. Works with Claude Code, Cursor, Windsurf, Codex via MCP. Detect scope violations, missing tests, and risks before merge.

Zero-dependency Claude Code plugin that catches speculation, invented causality, and fake citations before they pollute your context. Install in one command, works offline, no API keys needed.