A Kubernetes sidecar that learns your workload's normal behavior and detects when something changes.
No rules to write.
No policies to configure.
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 and flags when behavior deviates. Deploy it with one label, and it starts working immediately.
"One label. Every service monitored."
Add runtime anomaly detection across all your services with a single Kubernetes label. No per-service configuration needed. PandoCore learns each workload's behavior independently and works out of the box.
"Catch what rules-based tools miss."
PandoCore detects runtime anomalies that policy-based tools can't catch without custom rules: unexpected process changes, behavioral shifts, and subtle deviations. Complements your existing Falco, OPA, or network policy stack.
"Continuous monitoring with a full audit trail."
Every detection generates structured evidence with forensic context. Monitor mode gives you visibility. Alert mode notifies your team. Enforce mode responds automatically. All with complete, auditable records.
Whether you're securing critical workloads or exploring runtime monitoring for your Kubernetes clusters, we want to hear from you.