CIS Controls for Threat Mitigations
CIS Controls for Threat Mitigations connects the security capabilities of the Center for Internet Security’s Critical Security Controls to …
May 6, 2026
Project Summary
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.
Problem
AI-enabled systems are susceptible to traditional cybersecurity vulnerabilities, and new attacks based on the unique characteristics of AI-enabled systems.
Solution
Accelerate the development of MITRE ATLAS to meet industry needs in AI security, including incident sharing, new threats to Generative AI, and mitigations.
Impact
Secure organizations against the unique emergent attack surfaces that arise in complex AI-enabled systems.
Funding Research Participants
Explore More of Our Work:
Summiting the Pyramid
Summiting the Pyramid helps defenders measure the depth and quality of detection coverage beyond an ATT&CK heatmap. This release introduces …
Attack Flow
Attack Flow helps defenders capture the entire scope of a cyber attack and communicate what matters. By representing actions, conditions, and …
Contribute to this Project
Data contributors who share incident metrics and insights will expand community-wide knowledge of threats to AI-enable systems. Your participation will build a comprehensive understanding of these threats and strengthen the defenses of AI-enables systems across industries. By collaborating on this important research, you will secure AI-enabled systems and protect against emerging cyber threats. Join us in this effort and make a lasting impact on the cybersecurity community.