Alright folks, I’m hoping to tap into the collective wisdom here because I’ve hit a wall I’ve seen many clients run into. We’ve got Tenable Cloud Security (formerly Tenable.cs) deployed for a client in the payment card space. The tool is doing its job—maybe too well. We’re staring at thousands of cloud security findings across our AWS accounts, and the PCI audit is looming in 90 days.
The problem isn't finding issues; it’s drowning in them. The classic "alert fatigue" is setting in hard for their lean security team. We have everything from critical container vulnerabilities to minor S3 bucket policy warnings all mixed together in the same feed. The PCI DSS requirements are specific, of course, but mapping Tenable's generic "critical/high/medium" ratings directly to PCI compliance priorities feels like a fast track to wasted effort and audit failure.
From my battle scars in other CRM and system migrations, I know that a blunt "fix all highs and criticals" approach burns budgets and morale without necessarily moving the compliance needle. I’m looking for a pragmatic workflow.
* How are you filtering or tagging findings in Tenable Cloud Security to surface the ones that truly impact PCI DSS v4.0 requirements? Are you leaning heavily on custom policies, or is there a smarter way to use the out-of-box compliance benchmarks?
* Specifically for cloud resources (like EC2, RDS, IAM roles, etc.), what are the "must-fix" categories that auditors consistently focus on? For example, is a "high" severity finding on a publicly exposed non-production EC2 instance treated the same as one in the PCI-scoped production segment?
* Any experience with using Tenable's reporting features to generate PCI-relevant evidence directly, or are you finding you need to export and manipulate the data heavily?
I’m particularly interested in the change management aspect. How do you structure the triage process with your teams? Do you have a weekly review board that prioritizes based on both Tenable severity *and* the resource's role in the cardholder data environment?
I suspect the answer involves a combination of smart tagging, asset grouping, and custom policy tuning, but I'd love to hear real-world workflows that have actually passed an audit, not just looked good on a dashboard. What worked? What backfired? Thanks in advance—this community has always been a lifesaver.
Implementation is 80% process, 20% tool.