ATLAS tactics, techniques, and case studies data
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Updated
May 27, 2026 - Python
ATLAS tactics, techniques, and case studies data
RAG pipeline security testing toolkit - 27 techniques across 6 kill chain phases, mapped to MITRE ATLAS
Scripts and outputs for ATLAS data in STIX JSON and ATT&CK Navigator layer formats
MCP server with 54 security intelligence tools — CVE/KEV, MITRE ATLAS+D3FEND, Sigma detection rules, email security posture (SPF/DMARC), domain & web intel, threat intel.
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.
A web API for various cyber threat intelligence frameworks, including MITRE ATT&CK, CWE, ATLAS...
AATMF | An Open Source - Adversarial AI Threat Modeling Framework
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.
Self-Evolving LLM Prompt Injection Defense — 547+ rules, 50+ languages, 10-layer pipeline, MITRE ATLAS mapping, bio-immune evolution, MCP guard. 91.9% TPR, 2.4% FPR. Local-first, zero cloud.
ATLAS version of the Compass plugin supplying CALDERA with visualizations
🛡️ 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.
AI security testing engine for surfacing prompt leaks, bypasses, and unsafe agent behavior.
Comprehensive, auto-updating literature review of GenAI & LLM security research, standards, tools, and resources. 100+ curated entries with interactive webapp.
Zero-config static security scanner for AI agents. Detects 20 vulnerability categories mapped to MITRE ATLAS and OWASP LLM Top 10.
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.
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.
RL-based LLM red-team framework with MITRE ATLAS reporting and CI-ready outputs
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