Autonomous Runtime Defense That Caps Its Own Blast Radius
PandoCore learns each Kubernetes workload's normal behavior and responds the moment something drifts. Anomalies can isolate a pod. Only cryptographic proof can kill one.
PandoCore learns each Kubernetes workload's normal behavior and responds the moment something drifts. Anomalies can isolate a pod. Only cryptographic proof can kill one.
Rule-based runtime tools require you to anticipate every attack. If you don't write the rule, you miss the threat.
Attackers adapt faster than static policies. You need monitoring that adapts to your workload automatically.
Generic detection generates false positives. Real threats get buried. You need detection tuned to your specific workload behavior.
PandoCore takes a fundamentally different approach to runtime security. Instead of requiring you to write detection rules for every possible threat, PandoCore learns what normal looks like for each of your workloads, flags when behavior deviates, and responds autonomously. Deploy it with one label, and it starts working immediately.
More of what runs in your cluster now arrives without a person reading it line by line. That includes AI-generated services, autonomous agents, and dependencies pulled in at build time. Rules written for last year's threats can't anticipate any of it, but a workload's own behavior still shows you the moment it changes.
"Signal, not noise."
Rule-based tools fire on everything they can't rule out, and real threats get buried. PandoCore learns each workload's normal behavior, so alerts stay rare enough to trust: 2 false isolations and zero false terminations across more than 20,000 continuous pod-hours on GKE, running production-representative synthetic workloads, the kind of alerts your team won't learn to ignore.
"Know what changed, and when."
Every detection ships with structured evidence and forensic context. Your on-call spends less time reconstructing what happened and more time resolving it.
"See what no rule anticipated."
Because it flags deviations from each workload's learned-normal behavior, PandoCore surfaces unexpected process and behavioral changes that rule-based tools can't see, complementing them with no custom rules to write.
Whether you're securing critical workloads or exploring runtime monitoring for your Kubernetes clusters, we want to hear from you.