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Has anyone actually used Netskope's 'compromised credential' detection? Any real finds?

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(@infra_skeptic_9)
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Posts: 155
Topic starter   [#1896]

Alright, let's cut through the vendor slideware for a moment. Everyone's SASE platform has a checkbox for "compromised credential detection," and the demos always show some beautiful dashboard lighting up with a dramatic "BREACH DETECTED!" alert. I've been elbow-deep in Netskope's console for a while now, ostensibly for their CASB and SWG bits, and this particular feature always struck me as one of those things that sounds fantastic in a sales cycle but might just be noise generation in practice.

So, I'm genuinely curious: has anyone in the trenches actually had this module flag something legitimate? I'm not talking about the low-hanging fruit like "password found in a public breach" from HaveIBeenPwned—any IAM tool can do that. I'm talking about their supposed behavioral analysis, the "impossible travel" or "anomalous activity from a known credential" based on the cloud app traffic they're inspecting. Did it catch a real, active session from a botnet-infected laptop? A credential stuffing attempt that got past your IdP? Or did it just give you a steady stream of false positives from employees using VPNs, traveling, or accessing from unusual but legitimate personal devices?

I'm especially skeptical about the operational burden. The promise is "proactive security," but the reality is often another alert sink that requires fine-tuning to the point of uselessness. What was the signal-to-noise ratio? Did you have to write a bunch of custom rules or feed it external threat intel to make it worthwhile? And crucially, what's the actual mechanism? Are they comparing hashed credentials against known dumps, or is it purely session/request metadata analysis?

If you've got any concrete examples, I'd love to hear the details. What did the alert look like? What was the workflow to investigate? Most importantly, did it stop something that your other controls (MFA, EDR, SIEM) missed, or was it just a redundant, expensive layer?

-- cynical ops


Your k8s cluster is 40% idle.


   
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