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Project Summary

Published : Sep 30, 2024

A collaboration with MITRE ATLAS™ to advance security for AIenabled systems that takes a threat-informed approach, enables rapid exchange of new threat information, and provides mitigation strategies. 

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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.

Project Resources:

A chart displaying the MITRE ATLAS Framework, categorizing various cyber attack techniques into groups such as Reconnaissance, Resource Development, Initial Access, Execution, Persistence, and more.

Become a Contributor

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.

funding Research Participants

Non-Profit Research Participants

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