mitre-atlas

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

AATMF | An Open Source - Adversarial AI Threat Modeling Framework

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.

OWASP GenAI Data Security Initiative — taxonomies, crosswalks, datasets, and tooling for securing data in generative AI systems

Runtime security platform for LLM agent tool calls on Kubernetes

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.

An open-source, AI-powered NLP tool designed to detect psychological manipulation, urgency, and zero-day social engineering tactics in emails and text messages.

An open, threat-informed cybersecurity reference library — 140 in-depth references, 16 how-to guides, and 47 discipline paths, anchored to MITRE ATT&CK and mapped to real controls, detections, and tooling. Free & MIT-licensed.

Transparent OpenAI-compatible security gateway for LLM agents — DLP, secret-leak, jailbreak & prompt-injection detection at the egress. Open-source core of AgentSentry, by Akav Labs.

Open-source hunt playbooks and a policy-driven Sentinel reference framework for detecting runaway AI agents, unauthorized tool calls, behavioral drift, DNS exfiltration, and poisoned MCP tools. MITRE ATLAS mapped.

Open-source digital forensics and incident response for AI agents (Claude Code, Codex, Cursor, Gemini, Copilot…). One command: detect → collect → analyze → browse.

A credential is not authorisation. ACP moves the authorise/refuse decision for AI agent actions outside the model, where prompt injection cannot reach it. Specification, Dafny proofs, and a reference implementation — every claim replays locally.

ATLAS version of the Compass plugin supplying CALDERA with visualizations