Detect breaches across your Kubernetes clusters
Deploy AI-generated canary resources across your Kubernetes infrastructure. When attackers enumerate, access, or move laterally, you'll know immediately.
What we deploy
Canary resources inside your clusters
Decoys that look identical to your real workloads and alert on any interaction.
Canary Secrets
Decoy secrets that detect enumeration and unauthorized access
Kubernetes Secrets
Attractive names that attackers will target
Cloud Credentials
Decoy tokens that alert when used from anywhere
Canary Identities
Decoy identities that detect privilege escalation and lateral movement
Service Accounts
Attractive permissions that alert on any assumption or use
Each canary is safe by design and indistinguishable from real assets
How it works
Deploy via helm, stay protected continuously
Tracebit runs a Kubernetes controller in your cluster. No agents in your pods.
Deploy the controller
Install the Tracebit controller in your cluster via Helm. It can self-manage with minimal permissions.
AI generates realistic canaries
Tracebit analyzes your cluster and creates canary secrets, identities and credentials that blend in with your real workloads.
Get alerted on interaction
When an attacker interacts with a canary, whether enumeration, access, or exfiltration, you get an instant, high-fidelity alert.
Continuous adaptation
As your cluster changes, Tracebit evolves your canaries, adding, updating, and retiring them to stay realistic.
Threats detected
Catch attackers at every stage
Cloud canaries detect threats across the kill chain.
Reconnaissance
List operations on storage, secrets, and config
Credential access
Stolen credentials used from unexpected locations
Lateral movement
Role assumption, cross-account access
Exfiltration
Data access on canary storage and secrets
