AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK framework. The tool generates tailored incident response scenarios based on user-selected threat actor groups and your organisation's details.

ATLAS tactics, techniques, and case studies data

RAG pipeline security testing toolkit - 27 techniques across 6 kill chain phases, mapped to MITRE ATLAS

MCP server with 55 security intelligence tools — CVE/KEV, MITRE ATLAS+D3FEND, Sigma detection rules, email security posture (SPF/DMARC), domain & web intel, threat intel.

Scripts and outputs for ATLAS data in STIX JSON and ATT&CK Navigator layer formats

AI security and prompt injection payload toolkit

Single source of truth for GenAI and agentic AI security incidents, mapped to OWASP LLM Top 10, OWASP Agentic Top 10 (ASI), NIST AI RMF, and MITRE ATLAS.

AATMF | An Open Source - Adversarial AI Threat Modeling Framework

A web API for various cyber threat intelligence frameworks, including MITRE ATT&CK, CWE, ATLAS...

Source and static code for the MITRE ATLAS website

AIDEFEND MCP is a local-first AI Security Defensive Assistant that brings the full AIDEFEND countermeasure library into your environment and turns static knowledge into actionable protection for LLMs and agentic AI systems — privately, securely, and on-device.

ATLAS version of the Compass plugin supplying CALDERA with visualizations

Comprehensive, auto-updating literature review of GenAI & LLM security research, standards, tools, and resources. 100+ curated entries with interactive webapp.

🛡️ MIRAGE: Open-source AI Honeypot for active defense. Detect, deceive, and study prompt injections, jailbreaks, and data exfiltration in real time with decoy LLM personas and fabricated data.

MLSec Application Security Testing Guide (MLASTG) — Enterprise & Defense-Grade Security Verification and Testing Standard for Machine Learning and LLM Systems

Zero-config static security scanner for AI agents. Detects 20 vulnerability categories mapped to MITRE ATLAS and OWASP LLM Top 10.

Local-first LLM adversarial assurance lab for mapping attacks to controls, evidence, and framework readiness.

Exposure intelligence for the AI-infrastructure layer — finds and weighs leaked credentials, MCP/agent configs, git-metadata secrets, and supply-chain risk, and tells you which exposures to trust. Active verification, orphan-signal triage, SARIF dedup. OWASP LLM + MITRE ATLAS tagged.

Autonomous agentic AI threat hunting framework with hunt playbooks, behavioral baselining, and zero-trust enforcement for LLM and multi-agent pipeline security.

Autonomous AI Red Teaming laboratory validating the Microsoft AI Red Team Taxonomy using the PyRIT framework. Focused on Agentic AI security and strategic conversational persistence.