The Authority Layer For AI Agents

Govern AI agents before they act.

Atellagent is an enterprise agent platform and authority layer for AI agents and workflows. Build and run hosted agents and workflows in Atellagent or connect external runtimes while using one authority model across tools, workflows, models, channels, and enterprise systems.

Decision Record
AUTHORIZED
Action Tool call
Actor Governed agent identity
Target CRM contact lookup
Policy Context Approved under workflow context and runtime policy
Execution Scope Approved for the requested action and target
Evidence Decision and outcome records attached
Why Existing Controls Break

Autonomous systems cross boundaries that existing controls were not built to govern.

IAM, gateways, prompt filters, and observability each see part of the problem. None of them own the full authority chain once an agent starts acting across systems.

1
Problem 1
Identity alone is not enough

Knowing which agent is acting does not tell you what it should be allowed to do next.

2
Problem 2
Prompt safety is not action control

The highest-risk behavior usually begins after a model chooses a tool, workflow transition, or external side effect.

3
Problem 3
Observability is too late

Logs can explain an incident later. They do not authorize or deny the action before it happens.

Platform Summary

Build and run agents and workflows, connect existing runtimes, and keep controls on the execution path.

Atellagent combines a hosted enterprise agent platform with vendor-neutral control across external runtimes. Teams can run agents, govern access, and inspect attributable evidence in one system.

Hosted Runtime

Build and run first-class agents and workflows in Atellagent

Use Atellagent as the managed runtime when you want the strongest built-in control posture.

External Runtime Participation

Bring existing runtimes into the same governed path

Keep existing runtimes and frameworks while standardizing identity, policy, and evidence around them.

On-Path Control And Evidence

Evaluate actions before they happen and inspect what followed

Keep runtime decisions and attributable evidence attached from the governing decision to the resulting outcome.

Start with the product, then go deeper on security or architecture.

The Product page shows what teams actually deploy. Security covers model and runtime control. Architecture goes deeper on the execution model.