Kernel-level control for AI workloads. Performance, security, and posture management in one platform.

• AI runtime at kernel level is unmonitored blind spot
• Prompt injection, poisoning, and agent exploits emerging
• Same signals reveal GPU savings through optimization

Turn insights into performance
Stop threats at runtime
• Deep kernel and GPU visibility captures what traditional monitoring misses
• Works with standard AI inference platforms on any Kubernetes cluster
• Traditional security tools can't see what's happening inside AI runtimes
• Attacks on models and inference systems are invisible to existing defenses
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