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AI Harness

Governance for AI agents, from design to production

AI Harness is the governance, risk, compliance and operations layer for AI agents. Every agent is registered, risk-tiered, gated, controlled and audited, and a person stays accountable for every regulated decision.

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Agents are easy to build. They are hard to govern.

When each agent carries its own compliance, accountability is unclear and audit evidence gets assembled after the fact. In regulated work, that is the gap that stops agents reaching production.

No single control layer

Guardrails differ from agent to agent, so every review starts from scratch.

No clear owner

It is hard to say who is accountable for what an agent does.

Evidence after the fact

Audit records are pieced together later instead of written as things happen.

One lifecycle for every agent

Harness puts the same four governance steps around every agent, whatever it does and whoever built it.

1

Register and tier

Each agent gets a named accountable owner and a risk tier, set by how much regulated data it touches and how independently it acts.

2

Pre-release gate

Policy and sensitive-data checks, agreements covering every model and connector that touches regulated data, and human sign-off before an agent goes live.

3

Enforce controls

Guardrails run on every call. Regulated outcomes wait for a person to approve.

4

Monitor and audit

Continuous monitoring, escalation on low confidence, a written audit record and scheduled recertification.

Controls that scale with risk

Not every agent needs the same scrutiny. Harness assigns one of three tiers and applies the matching controls.

T1. Light-touch

Monitor and log. For agents working on internal or non-sensitive data with a person closely involved.

T2. Standard

Configured guardrails and sampled human review. For agents that touch sensitive data or act with more independence.

T3. Critical

Mandatory human approval and a full audit trail. For agents that handle identifiable personal or health data and can affect a significant outcome for a person.

The controls behind every agent

Agents do not own compliance. Harness does, through a single pipeline every call passes through.

Compliance orchestrator

Every agent call passes through one pipeline before it reaches a model, a knowledge base or a tool.

PII redaction

Patient and personal identifiers are removed before anything reaches a model, using self-hosted detection.

Prompt-injection screening

Incoming text such as clinical notes and user messages is checked for injection attempts first.

Audit ledger

Each call is logged with who, which model and what outcome, at the moment it happens. Never backfilled.

ISO/IEC 42001 mapping

Controls are mapped to clauses of the AI management system standard, so a security review has a framework to check against.

Promotion gates

Agents move from prototype to pilot to production only through named gates, each with a recorded human sign-off.

Built for regulated work

Harness is designed around the obligations that apply to healthcare and life sciences.

Healthcare

HIPAA privacy and security and business associate agreements, with a person reviewing high-impact outputs and a record of who approved what.

Life sciences

Data-integrity principles (ALCOA+) and computerized-system expectations such as 21 CFR Part 11, with provenance for every output.

Harness supports your compliance programme. It does not replace your own legal and compliance review.

Who uses it?

Compliance and privacy

Set policy once and see every agent against it.

Security

Control model and connector access, and review guardrail configuration.

Agent owners

Know the tier, the gates and the evidence each agent needs.

Auditors

Read-only access to the registry, approvals and audit record.

Pairs with AI Foundry

Harness governs agents wherever they run. AI Foundry is the design environment that connects to Harness while an agent is being built, so compliance is part of the design rather than a review at the end.

Explore AI Foundry

Designed for your cloud

Harness is designed to run on AWS, Azure and Google Cloud, with your regulated data staying in your own environment.

Put governance around your agents

Tell us about the agents you are building or running, and we will show you how Harness fits.

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