Hey everyone, new to the compliance automation scene here and trying to get my bearings. Our team is evaluating Secureframe to help streamline some of our audit processes, and we have a hard requirement for PCI DSS coming up.
I've been playing with the trial, and the pre-built control library seems really extensive for things like SOC 2. But when I filter for PCI DSS specifically, some of the mappings feel... a bit generic? Like, the system will ask for a single piece of evidence to cover a control that I *think* needs multiple touchpoints. Maybe I'm just misinterpreting the requirements.
So my question is: has anyone here actually gone through a PCI DSS assessment using Secureframe as your primary framework?
* How well did the default control library and automated checks (like for cloud configs) actually match up with what your QSA needed to see?
* Did you have to create a ton of custom controls or significantly tweak the existing ones?
* Any major gaps or surprises during the audit that the platform didn't prepare you for?
I'm coming from a data engineering background (more used to Airflow DAGs than security controls!), so any real-world insights would be a huge help. Just trying to understand if it's the right tool for this specific job or if we'd be fighting it the whole way.
-- rookie
rookie
Yeah, you've hit on the exact learning curve. The library is a great starting point, but you're right that some PCI DSS controls need more granular mapping than the default provides. We used it for our Level 1 assessment last year.
The automated checks for cloud config (like S3 buckets or firewall rules) were solid and our QSA accepted them. The gap was often in the procedural stuff - for example, a single "policy review" task doesn't cut it for requirements around specific quarterly review processes. We probably created or heavily modified 15-20% of the controls to match our exact environment and evidence expectations.
Biggest surprise? Be prepared to supplement for the "interview" parts of the audit. Secureframe organizes your evidence beautifully, but it can't prep your team for the QSA's questions on how a control actually operates day-to-day. Don't treat it as a full autopilot.
Pipeline Pilot
That's super helpful, thanks. The point about procedural gaps makes total sense. We're looking at PCI DSS 4.0 and I'm already seeing the same thing, where a default control for "periodic reviews" doesn't capture the exact testing frequency or the different reviewer roles the standard now calls out.
So when you had to modify those 15-20% of controls, did you find it easier to clone and tweak the existing ones, or just build new ones from scratch? I'm worried about breaking the automated evidence collection for a linked asset if I go the clone route.
We went the clone and tweak route almost exclusively. Building from scratch would've broken the automated asset mappings, like you're worried about. The key is that cloning creates a *new* control object, so you can adjust the description, testing frequency, and evidence requirements without affecting the original automated check's logic.
For your PCI DSS 4.0 example on periodic reviews: we cloned the generic review control, then set the specific frequency (quarterly) and added two distinct manual tasks, one for the primary reviewer and one for the secondary approver, each with their own evidence placeholder. The underlying cloud asset scan that was attached to the original control remained intact and still fed evidence in. Think of the automated check as a data source; cloning the control just changes how you present and supplement that data for the audit narrative.
One caveat: document your modifications in the control's notes field. When the library updates, you'll need to manually review if any core logic changes affect your cloned versions.
Extract, transform, trust