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 …
March 13, 2024
This project provides cybersecurity defenders and researchers with critical insight into real-world adversary behaviors mapped to ATT&CK. The ecosystem fundamentally advances the collective ability to see threat activity across organizational, platform, vendor, and geographical boundaries. Voluntarily contributed raw “sightings”, or observations of specific adversary TTPs, are anonymized, and aggregated to produce insights into the most commonly used attacker techniques.
Defenders lack visibility into which adversary behaviors they should focus their attention on first.
Build an ecosystem for organizations to safely contribute ATT&CK-specific detection data, empowering defenders to have clear insights what techniques attackers use in the wild.
The sightings ecosystem injects real-world data and insights from that data into the decision-making process of defenders, allowing them to focus their resources on the highest priority problems
A collaboration with MITRE ATLAS™ to advance security for AI–enabled systems that takes a threat-informed approach, enables rapid exchange of new …
The Fight Fraud Framework strengthens fraud analysis by giving teams a clear behavioral structure to identify risks, focus investigations, and …
With Ambiguous Techniques, you will reduce false positives, focus on the highest‑value log sources, and uncover adversarial use of …
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