Governance for your AI agents.
AI agents act with real credentials, real tools and real data. AI Agent Management gives each one an owner, a traceable chain from model to certification and an ISO/IEC 42001 readiness view.
| Agent | Model · Tools | Owner | Status |
|---|---|---|---|
| ticket-triage-bot | LLM · ITSM API | IT Ops | Review |
| finance-recon-agent | LLM · ERP read | Finance | Certified |
| code-review-agent | LLM · Git | Engineering | Pending |
| hr-faq-agent | LLM · HR wiki | People | Certified |
Illustration with sample data
What AI Agent Management does
Organisations are deploying AI agents that call APIs, read data and take actions. Each one is effectively a new non-human identity with a purpose, a set of permissions and a risk profile. AI Agent Management is a register that follows each agent along its chain: Agent → Model → Tool → non-human identity → Data → Risk → ISO/IEC 42001 control → Evidence → Finding → Remediation → Certification.
An agent's record covers its models, tools, identities, data, risks, evidence, findings, certification decisions, history, incidents, AI testing and relationships. The dashboard shows governance figures, chain health, certification decisions and ISO/IEC 42001 readiness, and every panel can be added to a personal dashboard.
Key capabilities
Agent register
Agents with owners, purpose, models and tools.
Traceable chain
From model and tool through identity and data to risk, control and evidence.
Linked identities
Agents connect to the non-human identities they run as.
AI testing & incidents
Record tests and incidents on each agent.
Certification
Periodic certification decisions with history.
ISO/IEC 42001 readiness
A dashboard of chain health and readiness.
The business case.
Efficiency, multi-framework alignment, reduced complexity and streamlined processes: what AI Agent Management changes for your programme.
Every agent accounted for
Inventory and ownership are the first controls for agentic AI.
AI management evidence
Chain, certification and evidence support an AI management system.
People, machines and agents
Agents are governed alongside NHIs and assets.
Gaps at a glance
See where an agent lacks a risk, control or evidence link.
Efficiency figures compare the effort of each workflow cycle in RiskVantis with the same work done manually or in a traditional GRC tool. Your result depends on your starting point; we will model it with you in a demo.
From setup to outcome.
Register
Inventory agents, their models and tools.
Link the chain
Connect identities, data, risks and controls.
Test and evidence
Record AI tests, incidents and evidence.
Certify
Periodic certification with remediation.
Supports your obligations.
AI Agent Management contributes evidence and coverage to these frameworks and regulations.
Common questions.
How does it relate to NHI governance?
Agents link to the non-human identities they run as, so identity ownership, risk and certification connect to the agent's chain.
Which standard does it align with?
The chain includes ISO/IEC 42001 controls, and the dashboard shows ISO/IEC 42001 readiness.
Can agent records be shared with experts?
Yes. AI agents support time-boxed collaboration, including an AI Agent Review collaboration type.
Works better together.
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Learn more →Platform, Security & IntegrationsCollaboration & Delegation
Invite an internal colleague or an external expert to one record, with only the fields and evidence they need and only the permissions you tick, for a limited time.…
Learn more →See AI Agent Management in action.
Book a 30-minute walkthrough tailored to your frameworks, vendors and team.