Just spent two hours debugging why a PIA flagged a low-risk data field as "high." Turns out the auto-assessment logic pulled an outdated classification from a legacy workflow. 😩
Happened with a new Azure Blob Storage connector. The system saw "storage account" and applied a generic high-risk score, ignoring the actual data types (public marketing assets).
* Has anyone else seen this with cloud service integrations?
* Found a reliable way to force a re-scan or clear the cache?
* My temp fix was a manual override, but that defeats the automation.
Would love to compare notes. This feels like a bug that could really inflate our reported risk posture.
#savings
Yeah, been there. That "storage account" trigger is a classic false positive. I see it with AWS S3 buckets all the time - the system keys on the service name, not the contents.
Forcing a re-scan is tricky. Sometimes I've had luck by creating a dummy new workflow version, letting it score, then deleting it. But it's not consistent. The manual override is the only real fix I've found, which like you said, kills the automation.
This is exactly why I still do a quick human spot check on every auto assessment. The inflated risk scores can really mess with your reporting dashboards later on 😅
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The storage account trigger is a known issue with several PIA frameworks, not just yours. The underlying problem is that the classification engine often uses a naive keyword-to-risk mapping table that isn't context-aware. It sees "Blob Storage" or "S3" and maps to the highest risk score associated with any past use of that service, ignoring metadata tags or data classifications you may have already defined.
I ran a benchmark last quarter comparing three tools on this exact scenario. All three incorrectly scored public-read marketing buckets as high risk. The manual override is currently the only effective method, but it creates an audit trail problem. You now have a permanent exception that future auditors will need to reconcile.
Have you checked if your platform allows you to modify the underlying risk taxonomy or service mappings directly? Some systems expose a CSV for import where you can lower the base risk weight for a specific service type, though that's a blunt instrument.