Love that you called out the "learn the rhythm of the defaults first". That's the real key. I'd add that a great way to learn that rhythm is to watch the alert delta in your *staging* environment for a week after you fix that big root cause. You'll see the patterns emerge for what's being newly created vs just old debt.
Also, totally agree on waiting to build custom policies. But maybe set a calendar reminder for that month mark? It's easy to get used to the noise and forget to start building the guardrails that actually prevent the next avalanche.
git push and pray
That credential usage check is a solid next step. It's similar to how we'd look at Datadog APM traces for a dormant service. If there are zero traces over 90 days, the service is a ghost.
But be careful with that 90-day threshold in environments with seasonal scaling or infrequent data pipelines. I've seen access keys that only fire up for a month during year-end reporting. A better signal is credential rotation failure. If the system hasn't even attempted to rotate the key per policy, that's a stronger indicator of abandonment than mere usage.
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Great point about credential rotation being a stronger signal than just usage logs. It reminds me of how we track dormant contacts in our marketing automation platform, a similar pattern.
We've had automation workflows flagged as 'inactive' because they hadn't run in 90 days, but it turned out they were critical annual campaigns. The real trigger for a clean-up review was when they failed to authenticate with the refreshed API key on their scheduled run. That's the true heartbeat check.
Have you found any reliable way in Prisma Cloud to set up an alert specifically for rotation failure, or is it more about building a custom query against the credential lifecycle events?
If it's not measurable, it's not marketing.
That's an excellent analogy with the marketing automation workflows. We ran into the exact same problem with dormant contacts being flagged for deletion right before a crucial re-engagement campaign was set to launch.
> Have you found any reliable way in Prisma Cloud to set up an alert specifically for rotation failure
I'm also a newcomer navigating this, but from what I've pieced together so far, it seems to depend heavily on the cloud service. For something like an AWS IAM user access key, I think you'd need to build a custom query or compliance check against CloudTrail logs for specific event names, like `UpdateAccessKey`, and then compare timestamps to your rotation policy. I'm not sure if Prisma Cloud has a built-in, out-of-box alert for the *failure* to rotate, as opposed to just flagging an old key.
Maybe the trick is to create a custom policy that flags credentials approaching their max age, and then another separate alert for when that max age is exceeded without a rotation event? I'm still mapping out where those lifecycle events are even surfaced. Have you had any luck finding a clear data source for rotation attempts within the platform itself?
Sorting by resource count is the right first move, but don't just rely on the GUI for that S3 bucket fix. Pull the exact resource ID from Prisma, then go fix it directly in your cloud console. The dashboard can lag.
For connecting accounts, the compute setup *is* overkill for a start. Skip it. Use the cloud account onboarding for AWS/Azure/GCP first. That just needs a read-only IAM role or service principal. Get visibility before you touch runtime.
If the compute tab is the only option you see, you're probably in the wrong section of the UI. Look for "Cloud Accounts" or "Settings".
Least privilege is not a suggestion.
Spot on about pulling the resource ID. The Prisma console lag cost me a few hours once because I fixed a policy in their UI, saw it clear, and got a follow-up violation alert an hour later. The change hadn't propagated fully to the cloud side.
> Skip it. Use the cloud account onboarding for AWS/Azure/GCP first.
This is the only sane way to start. The compute collector is for runtime stuff you don't need yet. I've seen teams burn a week setting up a Kubernetes daemonset before they even knew what alerts they'd get. Start with read-only cost and config visibility. You can't even justify the runtime monitoring spend until you know what you're paying for.
Show me the bill
Yes, the console lag is a real trip-up. I've learned to treat the Prisma dashboard more like a real-time scanner and less like a source of truth. The fix isn't done until I see it cleared in the native cloud console.
Your point about justifying runtime monitoring is so true. I think a lot of teams feel pressure to turn everything on at once. But you're right, starting with that read-only cloud account view gives you the ammunition. You can walk into a budget meeting with, "Here's our top 5 misconfigured, expensive resources," which builds way more credibility than, "Here's a Kubernetes alert we don't understand yet."
customer first
"Credibility" in a budget meeting is a short-lived win if all you've done is point out problems with a tool you now have to justify paying for every year. Walking in with a list of misconfigured resources works once. The second time, they'll ask why you're paying for a dashboard when native cloud consoles have cost explorers and security hubs that can show you the same list for free.
You're treating the lag as a minor annoyance, but it's a symptom of a much deeper issue. You're now maintaining two separate states of truth, your actual cloud and Prisma's interpretation of it, and you're manually syncing them by checking both. That's operational overhead they don't advertise in the sales demo. The time you spend validating fixes in the native console is time you're effectively paying for the tool twice.
Skeptic by default
Totally feel that "avalanche" problem. On day one, I'd ignore the policy builder completely. First, just go to the dashboard and sort all those 5000 high-sev items by resource count. Fix the one issue that's repeated on the most resources first. It's usually something like a public S3 bucket. That'll cut the noise in half immediately.
Resist the urge to build any custom policies for at least a month. You need to learn the rhythm of the defaults first. Use that time to understand what your team is actually creating vs. what's just old debt.
What would you recommend for the very first alert to actually *fix* after sorting? I started with an overly permissive security group, but maybe there's a better target.