
AI-Infra-Guard
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

Automated Penetration Testing Agentic Framework Powered by Large Language Models

The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers…

Agentic jailbreak framework for LLM-based agents using scheme-based task decomposition, multi-turn disguising strategies, and adaptive self-evolution…

Research implementation of an LLM jailbreak agent that bypasses commercial model guardrails using harmless prompt weaving and adaptive tree search.

Benchmark harness measuring where prompt injection defenses fire in tool-using LLM agent pipelines, tracking canary tokens across exposed, persisted,…

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power…

Benchmark and defense code for persistent memory attacks on OpenClaw-style computer-use agents, with memory-zoning mitigation, attack scenarios, and…

Benchmark and evaluation harness testing whether LLM agents resist malicious instructions hidden in multimodal skill images, with 108 cases across…

Open-source, 100% reproducible AI Agent Runtime Security Benchmark & Sandbox Environment (RFC-010 Draft Protocol).

Automated SBOM-to-VEX pipeline using a secure multi-agent AI system to analyze CVEs, reason about exploitability, and generate signed CycloneDX VEX…

Defender framework for LLM agent security that compiles task contracts, validates capability manifests, and checks effects via PLANT/WRAP proof…

A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers.

Curated collection of LLVM security resources covering binary lifting, code obfuscation, static analysis, symbolic execution, sanitizers, and…

Re-evaluating prompt-injection detectors on LLM agent tool outputs (paper draft, scripts, scores)

LLM-powered agent that autonomously fixes GitHub issues, finds cybersecurity vulnerabilities, and solves CTF challenges using configurable tool-use…

Research code for HARDE, an agent harness that probes and adaptively optimizes components for runtime risk detection and execution control across…

Adversarial image attacks on vision-language web agents, from visual grounding to browser execution