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AI-powered penetration testing assistant that automates reconnaissance, vulnerability analysis, and note-taking via integrated LLMs and CLI tool…

AI-powered penetration testing assistant that automates reconnaissance, vulnerability analysis, and note-taking via integrated LLMs and CLI tool…

Open-source framework for red-teaming generative AI systems: automate attack prompts, score model responses, and audit behavior to identify security…

Red team framework and multi-operator C2 platform with AI agents, malleable implants, rootkits, phishing engine, and 741 CLI commands covering the…

Python Exploitation Framework, V8 Engine Debugger, Proxy interceptor, marketplace, post-exploitation, backdoor generator,....

LLM security testing framework for detecting prompt injection, jailbreaks, and adversarial attacks — 190+ probes, 28 providers, single Go binary

Autonomous AI red team framework that chains reconnaissance, exploitation, and post-exploitation into a single pipeline, then triages findings,…

AI agent framework for black-box security testing with autonomous multi-agent orchestration, built-in pentesting tools, and MCP integration for bug…

A secure low code deception runtime framework, leveraging AI for System Virtualization.

AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK…

Read-only AI agent that queries your cloud, code, and runtime infrastructure to surface misconfigurations, leaked secrets, and privilege escalation…

ATHF is a framework for agentic threat hunting - building systems that can remember, learn, and act with increasing autonomy.

OWASP framework cataloging the top 10 security risks in neocloud and AI data center infrastructure, covering hardware, networking, isolation,…

[🎖️ Honorable Mention in HAIPS @COLM'26] The first benchmark to evaluate how well do LLM agents act in alignment with their assigned authorization…

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

AI-powered modular Active Directory red-team framework for authorized penetration testing, AD enumeration, attack-path analysis, Kerberos/ADCS…

MCP-enabled multi-agent framework for declarative YAML-driven agentic workflows, used for AI-assisted code auditing, vulnerability triage, and…

Automated framework for frontier AI safety evaluation that synthesizes executable, pressure-rich test environments to uncover latent risks in…

LLM-driven agentic group shilling attack framework that manipulates black-box collaborative-filtering recommender rankings using adaptive multi-role…