Five Questions to Evaluate Your AI Security Operations Strategy
Guide
A practical framework for assessing readiness, risk, and next steps
This guide helps security leaders evaluate how AI impacts security operations by answering five practical questions about risk, data handling, workflows, and emerging threats.
AI adoption in security operations is accelerating. At the same time, misuse of generative AI increases the risk of data exposure and agentic AI introduces a new insider threat. Most security tools were not designed to monitor this activity, creating gaps in visibility and response.
The framework provides a structured way to examine how AI affects your security operations today and where it creates risk. Through five focused questions, it helps you assess data governance, investigation workflows, team readiness, and exposure to AI-driven threats.
Key Questions This Guide Helps You Answer:
- How is AI already influencing detection, investigation, and response workflows?
- What new data handling and governance risks does AI introduce?
- Which AI use cases deliver near-term operational value?
- Why does behavioral analytics matter for detecting AI-driven threats?
How Do Exabeam and Google Cloud Address AI-Driven Security Risk?
New-Scale Fusion runs on Google Cloud to collect and analyze security data at scale. Behavioral analytics establishes a baseline of normal activity across human and AI behavior, allowing teams to identify anomalous patterns that signal risk. Exabeam Nova automates investigation steps, assembles context, and guides response actions so teams can keep pace as AI adoption expands.
Download the guide to evaluate your AI security operations strategy and identify next steps.
