Discover, govern, and contain enterprise AI agents before they become shadow infrastructure.
Vigilis gives regulated enterprises runtime visibility, policy enforcement, and audit-ready evidence across AI agent file, network, process, tool, model, and data activity.
Enterprise AI agents are no longer just conversational tools. They take actions with real consequences.
Application-layer guardrails depend on the agent behaving correctly. Vigilis enforces policy outside the agent.
Comprehensive visibility and control across the entire AI agent lifecycle.
Two-layer architecture for comprehensive runtime governance without agent code changes.
Application and protocol-level mediation for all agent communications.
BPF/LSM enforcement for file, network, and process controls.
Control-plane ledger for immutable audit trails.
No agent code modifications required for deployment.
Every agent action flows through a governed decision pipeline.
An agent attempts to send data to an external webhook. Vigilis identifies the action, evaluates policy and risk, requires human approval, records the decision, and preserves the evidence trail.
Meet regulatory expectations with evidence-backed AI governance.
Comprehensive runtime governance that existing solutions cannot provide.
| Capability | Prompt Guardrails | API Gateways | Cloud Security | Vigilis |
|---|---|---|---|---|
| Runtime agent discovery | ||||
| Tool-level visibility | ||||
| File/network/process enforcement | ||||
| Kernel-level containment | ||||
| Approval workflow | ||||
| Trust score | ||||
| Audit evidence packs | ||||
| No agent code changes |