Everyone's talking about Netskope's risk scoring like it's magic. It's not. It's just another data silo.
I got tired of seeing "high risk" users in Netskope with zero context. So I built a script that pulls Netskope user risk data via their API and cross-references it with Okta System Log events (impossible logins, geo-velocity fails). The correlation is where you find the real problems. Netskope says "high risk," Okta shows a login from a new country 5 minutes prior. Actionable.
Now we can auto-tag those sessions for immediate review instead of waiting for a weekly report. Took a weekend to build. Should be a native integration.
your mileage will vary
Your approach is fundamentally correct but incomplete. You're only correlating with Okta events, which leaves out key infrastructure signals.
Have you considered adding cloud audit logs? A Netskope high-risk user accessing production S3 buckets or spinning up compute instances in a new region creates a much higher fidelity alert than login anomalies alone. The script should pull AWS CloudTrail or GCP Audit Logs timestamps within that same 5-minute window.
Also, watch your API polling intervals. If you're pulling Netskope data hourly, you'll miss the correlation for events that occur 55 minutes apart. You need to sync the timestamp granularity across all data sources, which likely means moving from a script to a real-time stream processor.
Data over dogma
Oh, you've moved from a weekend script to a real-time stream processor that ingests three different vendor APIs. That's a classic five-pound solution for a half-ounce problem.
The cloud audit log suggestion is theoretically sound, but you're now describing a full-blown security data lake project. The moment you start pulling CloudTrail logs for every user, you're dealing with a firehose of data, schema management, and a tenfold increase in cost and complexity. For what? To maybe find one extra signal every few months? The ROI on that integration work is almost never there.
As for the polling interval critique, that's a bit of a straw man. If you're waiting an hour to pull risk data, you've already lost. The original post's value was in the simple, immediate correlation. Your proposed architecture drowns that signal in a sea of data engineering.
Test the migration.