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AI Agents

Governed autonomy for enterprise AI agents

AI agents read data, operate systems and execute processes. They therefore require a distinct identity, clearly limited permissions and auditable records.

CODE S Analysis

Governed autonomy for enterprise AI agents

AI agents read data, operate systems and execute processes. They therefore require a distinct identity, clearly limited permissions and auditable records.

8-minute readEnterprise AI governance

Dedicated agent identity

Every agent should be uniquely identifiable and receive only the roles its purpose requires.

Least privilege

Access to data and systems is restricted to the minimum permissions required and reviewed regularly.

Human approval

Defined transaction thresholds, risk classes, external communications or irreversible actions may require human approval.

Audit trail

Request, context, model, tools, policy decision, approval and outcome are documented in one continuous audit trail.

From policy to infrastructure

CODE S implements governance requirements through identity controls, routing, policies, approvals and audit evidence.

Note: This article describes a technical operating model and does not constitute legal advice.

Apply policies from the start

Enterprise AI requires clear policies, traceable decisions and central control.

Your existing models, data and systems remain in place. CODE S adds a central control layer across them.

Manage models centrallyGovern AI agents according to defined policiesProtect access to data

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Prices shown are starting prices. Implementation, integrations and AI usage are quoted separately.