Ambiguous Techniques
With Ambiguous Techniques, you will reduce false positives, focus on the highest‑value log sources, and uncover adversarial use of living‑off‑the‑land activity with an evidence‑driven detection design process.
Threat-Informed Defense for Cloud Security
Use our latest mappings to replace assumption-driven cloud defense with evidence-based decisions to stop cloud adversaries in their tracks. With this latest research, you will turn cloud security from a checklist exercise into a threat-informed discipline grounded in real attacks.
INFORM Your Defense
MITRE INFORM is a program-level assessment designed to show how threat-informed your organization is and where to improve next across cyber threat intelligence, defensive measures, and test and evaluation. Turn insight into action and see your threat-informed posture at a glance and know exactly …
Attack Flow v3
With Attack Flow, you will capture the entire attack and communicate what matters!
Threat-Informed Defense for the Financial Sector
Connect adversarial threat mitigations to cybersecurity program resources tailored to the financial sector, namely the Cyber Risk Institute Profile.
Prioritize Known Exploited Vulnerabilities
Prioritize Known Exploited Vulnerabilities shows defenders how to take a threat informed approach to vulnerability management.
Security Stack Mappings – Hardware-Enabled Defense
The Security Stack Mappings – Hardware-Enabled Defense project demonstrates full stack threat-informed defense, from the hardware board to the software bytes.
Summiting the Pyramid
Summiting the Pyramid (STP) creates a methodology to score analytics against the pyramid of pain, helping defenders create more robust detections against adversary behavior. With this update, STP reduces false positives and expands scoring to network-based analytics.
Secure AI
A collaboration with MITRE ATLAS™ to advance security for AI–enabled systems that takes a threat-informed approach, enables rapid exchange of new threat information, and provides mitigation strategies.
Technique Inference Engine
Know your adversary’s next move with the Technique Inference Engine, a machine learning-powered tool that infers unseen adversary techniques, providing security teams actionable intelligence.