AI Convergence Use Cases and Pain Points

This ATARC white paper examines four AI and cybersecurity convergence use cases for federal, state, and local government technology leaders. It addresses knowledge sharing, cybersecurity controls, compliance and Authority to Operate, and asset discovery, with performance measures and examples to support adoption decisions.

The working group recommends defining return on investment before deployment and measuring threat response times, evidence automation, and data classification accuracy. It describes CISA’s machine learning applications for infrastructure monitoring and challenges involving manual audits, fragmented information, and unstructured data. The paper outlines opportunities for cross-agency collaboration and continuous monitoring, while noting that a successful government deployment of the proposed compliance automation use case has not yet been identified.