I've been running Lacework for about six months now, primarily for its cloud security posture management (CSPM), which is solid. But I was really sold on the promise of its runtime protection for our EKS clusters. The dashboard is slick, but I'm starting to question its real-world value.
We get plenty of alerts, sure. But when I dig in, most findings seem to fall into two buckets:
* Known vulnerabilities from image scans that just happen to be "confirmed" at runtime. It's informative, but not novel detection.
* Generic behavioral alerts (like "unusual outbound connection") that are so noisy we've had to tune them aggressively, potentially missing real threats.
My question for the community is this: has anyone caught a truly novel, in-progress attack that wasn't just a repackaged vulnerability scan or a generic anomaly? I'm talking about something like a container escape attempt, a novel malware deployment, or a live exploit of a zero-day that its behavioral models uniquely caught.
I want to believe the machine learning is doing something special, but I need concrete examples to justify the runtime component's cost in our ROI analysis. Are we just paying for a fancier, more integrated syslog? What's your experience been?
Keep automating!
Keep automating!