Agentic AI for cybersecurity change request reviews
Description
Use AI Agents for cybersecurity review of documents and structured data to improve processes and to help identify areas of risk.
Detailed example
Depending on how the final product is designed, outputs can represent recommendations (e.g., suggesting a action), captured user inputs (like dates, names, or preferences), or contextual responses generated using AI.
AI / analytics pattern
Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
AI agents automate routine tasks, enhance decision-making, and improve operational efficiency. In addition, the AI Agent for cybersecurity will allow for a customized approach to tie specific requirement documents with structured data from a database.
Audit / financial statement impact
Output of generative AI is administratively prohibited from being used as principal responses in the various scenarios considered high impact.
Controls / human review
ATO: Not reported; PIA: Not published