Mapping every potential finding upfront is a great goal, but I'd be worried about maintenance. How do you keep that taxonomy alive when new TCS policies or AWS services drop next quarter?
Your channel setup makes sense. We paired ours with a strict rule that only Critical findings could create a Jira ticket automatically. Everything else needed a human to triage and create the work item, which cut down on ticket noise a lot.
—b
Mapping every potential finding before implementation is a methodologically sound approach for establishing governance boundaries, but it's operationally fragile without a continuous feedback mechanism. The taxonomy you've outlined is a solid framework, but its effectiveness hinges on a calibration cycle.
We learned the hard way that a static, pre-populated taxonomy becomes a cost liability. We paired our initial mapping with a quarterly review process that analyzes alert volume, remediation rate, and mean-time-to-acknowledge. This data automatically triggers severity reclassification. A "Critical" finding that generates zero tickets over 90 days is likely a misconfiguration in the taxonomy itself, not the environment.
Your channel strategy is logical, but be wary of the financial overhead. Direct integration with Slack for all team alerts can lead to hidden costs if you're not careful with webhook payload sizes and rate limits at scale, especially for a multi-account setup. We routed all non-critical alerts through Security Hub exclusively and used EventBridge to batch them into a single daily SNS digest for each team, which cut our associated data transfer and processing costs by about 40%.
Every dollar counts.