Describing adversarial behaviors in the form of tactics, techniques, and procedures (TTPs) using MITRE ATT&CK® revolutionized detection and response. Focusing on TTPs creates an opportunity for high-fidelity detection of adversaries. If we can detect a behavior, the adversary will need to change …
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.
As artificial intelligence (AI) becomes increasingly integrated into various industries, the importance of securing AI-enabled systems cannot be overstated. Recognizing this critical need, the Center for Threat-Informed Defense is launching a major initiative to bolster security for AI-enabled …
The cybersecurity community has been working for years to automatically identify adversary tactics, techniques, and procedures (TTPs) in cyber threat intelligence (CTI) reports. With some advances in machine learning and artificial intelligence, TRAM is a solution that is measurably effective at …
TRAM is an open-source platform designed to advance research into automating the mapping of cyber threat intelligence reports to MITRE ATT&CK®. TRAM enables researchers to test and refine Machine Learning (ML) models for identifying ATT&CK techniques in prose-based threat intel reports and …
