Kernel-level visibility into AI agent behavior — process execution, sensitive file access, and outbound network activity — with low overhead and high-signal telemetry.
High-signal events captured directly from the Linux kernel, normalized, and sent to the AgentWatch gateway for policy correlation and audit logging.
Command lineage, parent/child relationships, and detection of suspicious or unexpected binaries.
Reads and writes to protected paths, credentials, and data classified as sensitive.
TCP connections, unusual destinations, and netflow bursts indicating possible data exfiltration.
Runtime telemetry feeds the gateway so policy enforcement, DLP, and audit logging stay consistent across every agent action.
AgentWatch uses eBPF programs attached to kernel hooks to observe agent runtime behavior directly. There is no per-process agent injection and no source-code instrumentation — visibility comes from the kernel with minimal performance impact.
Captured events are normalized into a structured schema (process, file, network) and shipped to the AgentWatch gateway over an internal ingestion endpoint such as /internal/ebpf-events.
The gateway correlates runtime events with the active policy graph, RBAC scope, and DLP rules. Agent actions that violate policy can be flagged, throttled, or blocked, and every decision is written to the audit log.
Schedule a live walkthrough — runtime visibility, policy enforcement, and audit logging in one demo.
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