How AI Is Changing Cyber Risk Assessment

The cyber risk assessment process has been largely manual for years. An engineer reviews questionnaires, scans reports, checks configurations, and writes up findings. It works, but it doesn’t scale well.

Where AI Fits In

AI — especially multi-agent systems — can handle the repetitive parts: parsing scan results, cross-referencing compliance frameworks, drafting initial assessments. The engineer still makes the judgment calls, but the prep work happens faster.

What I’m Building

I’ve been experimenting with Google’s Agent Development Kit to build content automation tools. The same multi-agent patterns apply to risk assessment: one agent gathers data, another analyzes it, a third checks compliance, and a coordinator routes the workflow.

The Practical Reality

We’re not replacing risk engineers with AI. We’re giving them better tools so they can focus on the parts that actually require human judgment — understanding business context, assessing management commitment, and making underwriting recommendations.

The technology is ready. The question is how quickly the industry adopts it.