The ACSC continues to develop and refine the attached toolkit with member input. This document is meant to help you think about how your traditional 3rd party assessment processes may need to be updated to address novel or complex AI risks.

Working with AI Security and Risk experts from MIT Lincoln Laboratory , the ACSC developed this AI Security Automation Framework with feedback from its membership and other industry thought-leaders. This document is meant to help members work through the maturity of AI security and how much is being entrusted to automation.

ACSC's AI Co-Chairs Mark Maybury, Lockheed Martin  and Marc Zissman, MIT Lincoln Laboratory  presented an overview of how one might apply the five functions of the NIST Cyber Security Framework to AI capabilities at the Annual Member Conference. Their presentation framed the future of AI security and risks.

ACSC's AI Co-Chairs Mark Maybury, Lockheed Martin  and Marc Zissman, MIT Lincoln Laboratory  presented the following AI definitions at the Annual Member Conference to align all participants with a common lexicon for the day's discussions. Their presentation which framed the future of AI security and risks.

ACSC's AI Co-Chairs Mark Maybury, Lockheed Martin and Marc Zissman, MIT Lincoln Laboratory presented the following description of the threats to Generative AI aligned to the CIA - Confidentiality, Integrity and Availability - framework during their presentation which framed the future of AI security and risks.