SentinelLayer
Runtime control plane for agentic AI

The policy enforcement layer for agentic AI.

SentinelLayer sits between autonomous agents and the real world—approving, constraining, and auditing actions across tools, APIs, data, and infrastructure. Control the limbs, not the brain.

Agents
LLM / frameworks / runtimes
SentinelLayer
Policies • Approvals • Audit
Tools
APIs • SaaS • DB • Infra
Enforcement
Allow/Deny • Rate-limit • Redact

What SentinelLayer enforces

Policy-driven execution

Central rules to approve/deny tool calls, enforce guardrails, and constrain agent actions at runtime.

Enterprise-grade audit

Compliance-ready logging and traceability: who/what/when for every action, across environments.

Cloud & runtime neutral

Works across clouds and agent frameworks. One enforcement plane, many execution environments.

Why this exists

🧩 Tool sprawl

Agents increasingly act through dozens of tools and APIs. Per-tool controls don’t scale and break governance.

🛡️ Risk & compliance

Enterprises need enforceable policies, auditability, and safe default behavior—without re-architecting agents.

Velocity

Teams need a consistent control plane so they can ship agent features fast, with guardrails built-in.