Solution

Put real identity and enforcement in front of your AI agents

AI agents call APIs, invoke tools, and act on their own schedule. ArxLayer gives every agent endpoint a verifiable identity and request-level enforcement at the edge, so only the right caller reaches your origin.

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The problem

Agents act like users, but nothing treats them like callers you can trust

Autonomous and assisted AI agents hit your endpoints at machine speed, often with long-lived secrets and no clear identity behind each request.

Unbounded automated callers

Agents retry, fan out, and loop. Without limits, one misbehaving agent can hammer an endpoint or drain a downstream service.

Shared, long-lived secrets

A static key copied into prompts, configs, or tools is a credential with no scope, no binding, and no easy way to revoke.

No identity behind the request

When every agent looks like generic traffic, you can't tell which workload called, scope its access, or attribute what it did.

What you get

Identity-aware access for agent endpoints and tools

ArxLayer enforces who may call an agent endpoint and how often, at the edge before the origin. It governs access and identity, not model behavior.

Protected agent endpoints

Front every agent and tool route through the edge, so each request is authenticated and authorized before it reaches your origin.

Identity for non-human callers

Give each agent or workload a first-class machine identity you can scope, attribute, and audit, not a shared anonymous key.

Token-bound access

Bind access to scoped, verifiable tokens instead of static secrets, so credentials are narrow and easy to rotate or revoke.

Rate and reputation controls

Cap request volume per caller and shed abusive traffic, so one runaway agent can't overwhelm a downstream service.

Versioned, reversible policy

Every access change is a new version you can review and roll back in seconds, with config rolled out through an event-driven plane.

Per-caller attribution

See which identity made which request, so agent activity is observable and accountable, not anonymous traffic.

How it works

From open endpoint to governed agent access

Front your agent routes, give each caller an identity, and enforce scope and limits at the edge.

Route agent traffic through the edge

Point agent and tool endpoints at ArxLayer Edge so every request is inspected before it reaches your origin.

Issue identity and scoped tokens

Assign each agent or workload a machine identity bound to scoped, verifiable tokens instead of shared static secrets.

Enforce scope and limits

Apply per-caller access, rate, and reputation rules, then version and roll back any policy change instantly.

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FAQ

Questions, answered

Does ArxLayer detect prompt injection or unsafe model output?: No. ArxLayer secures the access layer, request-level enforcement and identity for agent endpoints. It does not inspect prompts or reason about model intent.
How is an agent's identity verified?: Each agent or workload gets a machine identity bound to scoped, verifiable tokens. Access is enforced per caller at the edge, not by trusting a shared key.
Can ArxLayer stop a runaway agent from overwhelming my origin?: Yes. Per-caller rate limits and reputation controls cap volume and shed abusive traffic at the edge, before it reaches downstream services.
Where are credentials and keys held?: Access is token-bound, and the enforcement layer holds no private keys. Key custody lives behind a separate boundary.

Explore

Give your AI agents an identity and a front door

Put token-bound, identity-aware enforcement in front of every agent endpoint, and govern access with policy you can roll back.