HIOP AI Safety & Governance

Define the boundary. Keep authority outside the model.

A governed agent product connecting model-side guardrails to explicit action authority and execution evidence.

For AI platform, security, governance and engineering teams.

Model-side controls
Evaluate guardrail behavior around the selected model and its allowed inputs and outputs.
Independent authority
Require the action's own current authorization rather than trusting model text as a permit.
Reviewable execution
Connect controlled dispatch to observed outcomes and evidence.
STARTCONTACT HOOD
The workflow

From the request to a reviewable result.

Define the risk and effect
Identify the model interaction and consequential action that require separate controls.
Evaluate the controls
Exercise guardrail behavior and the authority path against the agreed scenarios.
Review the evidence
Check the authorization, execution result and failure handling together.

Define the agent use case, model-side controls, action policies and review requirements for your organization.

Media

Allow, hold, and deny

The recording shows the three paths on one screen. A held action does not run because a person has not yet returned a fresh decision.

Governed-action recording, 31 August 2026. The request names the effect and the resource. Execution stays held until a scoped human grant, and the grant shown in this recording carries an expiration. This is a recording of that demonstration. It is not a statement that every provider named on the screen is connected in every customer environment.

Availability and claims

This page describes Hood's intended product role and control objective. Feature availability, deployment architecture, integrations, service levels, and assessed controls depend on the applicable plan and written commercial terms. This page is not a certification, guarantee of universal AI safety, or statement that every described integration is active in every environment.