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The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see…

The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see…

Python framework for building LLM workflows as state machines with formal verification via Z3 theorem proving, CTL model checking, and conformal…

Pre-execution intent verification for AI agents. Audits what your AI is about to do, not what it says. Zero dependencies, deterministic, hash-sealed.

Security scanner for MCP servers. Grades auth, permissions, injection risks, and tool safety. The Lighthouse of agent security.

SecureAI-Scan is a CLI tool that scans TypeScript and JavaScript codebases for security issues specific to AI-powered apps — prompt injection, MCP…

Self-hosted multi-agent environment for Go with LLM-powered pentesting agents (exploiter, reverser, threathunter, webscanner) that automate…

Pre-install security for AI agents, npm packages, and MCP servers. Zero-dep local static analysis; normal scans never execute package code.

Modular security toolkit for autonomous agents providing static analysis, configuration auditing, runtime monitoring, and supply chain verification…

A doggo that helps look for security issues in your repositories.

A TypeScript package that provides AI-powered agents for Application Security (AppSec) tasks, built on top of the frontier models.

Demo showing Claude Opus does not find CVE-2023-0266

Official code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing

A benchmark for evaluating AI agents on fixing real-world security vulnerabilities.

[NeurIPS '25] Code for Paper "IF-Guide: Influence Function-Guided Suppression of Harmful Training Data for Reducing LLM Toxicity"

The vibe-coding security sentinel. Apache-2.0 agentic security toolkit for AI-assisted projects: 5 deterministic scouts + LLM Brain Layer (BYOK…

Host-agnostic pre-write security hook for coding agent: detects user-input patterns via Semgrep and emits deterministic, no-LLM security guidance.

Benchmark measuring AI models' ability to detect vulnerabilities in source code via real bug bounty cases with balanced recall and false-positive…

Static security scanner for AI agent skill packages. Detects malicious SKILL.md files and bundled scripts before they run.