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Systematic Vulnerability
Testing for AI Agents

We provide a repository of stress-testing, jailbreaking, and red-teaming methods—a knowledge base to build and improve custom guardrails for your AI agents.

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MCP Guard
System Vulnerability Analysis

Comprehensive security assessment to identify exploitable vulnerabilities and OWASP Top 10/NIST/MITRE ATLAS compliance gaps in your AI systems and application layers.

Latest Blog Posts

Research, analysis, and updates from our team

General Analysis Launches MCP Guard
3 min read

General Analysis Launches MCP Guard

We are excited to launch MCP Guard, the first runtime firewall designed to secure every MCP (Model Context Protocol) tool call against prompt injection attacks.

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The Redact-and-Recover Jailbreak Reveals Ricin Extraction Instructions from Claude
8 min read

The Redact-and-Recover Jailbreak Reveals Ricin Extraction Instructions from Claude

We present the Redact & Recover (RnR) Jailbreak, a novel attack that exploits partial compliance behaviors in frontier LLMs to bypass safety guardrails through a two-phase decomposition strategy.

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 Supabase MCP can leak your entire SQL database
8 min read

Supabase MCP can leak your entire SQL database

In this post, we show how an attacker can exploit Supabase’s MCP integration to leak a developer’s private SQL tables. Model Context Protocol (MCP) has emerged as a standard way for LLMs to interact with external tools. While this unlocks new capabilities, it also introduces new risk surfaces.

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General Analysis x Together AI
2 min read

General Analysis x Together AI

TLDR: We are excited to announce our partnership with Together AI to stress-test the safety of open-source (and closed) language models.

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The Jailbreak Cookbook
40 min read

The Jailbreak Cookbook

We have created a comprehensive overview of the most influential LLM jailbreaking methods.

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Generating Diverse Test Cases with Diversity Transfer from LegalBench
5 min read

Generating Diverse Test Cases with Diversity Transfer from LegalBench

TLDR: we utilized LegalBench as a diversity source to enhance the diversity of our generation of red teaming questions. We show that diversity transfer from a domain-specific knowledge base is a simple and practical way to build a solid red teaming benchmark.

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