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 …
May 13, 2025
Building upon the research of Summiting the Pyramid, Ambiguous Techniques is a methodology to determine malicious intent behind seemingly benign behavior by applying contextual analysis to ATT&CK techniques. Reduce false positives and uncover adversarial use of living-off-the-land activity.
This is an old version of the Ambiguous Techniques project. For the latest version, see: Ambiguous Techniques.
Many ATT&CK techniques, especially those used in living-off-the-land activity, produce observables that are indistinguishable from benign behavior, making it difficult for defenders to determine malicious intent and resulting in unreliable or overly noisy detections.
Create a methodology that uses the surrounding context of a detection event to infer the intent of the actor, thus removing the ambiguity.
Reduce false positives and improve detection accuracy so defenders can prioritize the alerts that truly matter.
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