
AI agents are already operating across your environment — but you don’t know how many exist, what they can access, what they’re authorized to do, or whether they should still exist. Oleria’s Trustfusion platform automatically discovers your AI agents, maps what they can reach, tracks what they actually do, and generates compliance evidence from a unified identity intelligence layer — in minutes, not months.
Teams are rapidly deploying AI agents across Azure AI Foundry, AWS Bedrock, OpenAI Codex, Anthropic Claude, Salesforce Agentforce, GitHub Copilot, and more.
You don’t know how many agents exist, what they can access, what they’re authorized to do, or who is responsible for them. Most carry permissions nobody tracks and lack clear ownership.
Traditional identity and access management cannot detect AI agent identities, assess their access, or determine compliance with EU AI Act or NIST AI RMF requirements.
This is the AI governance gap, and it’s a board-level concern.
Of organizations lack confidence in preventing NHI attacks
Oleria’s Trustfusion platform creates a unified identity intelligence layer across human, non-human, and AI identities — automatically discovering agents, mapping what they can reach, tracking what they actually do, and continuously generating deterministic, auditable compliance evidence, instead of periodic snapshots.

If an AI agent is compromised, your board will not accept uncertainty about the impact. They require proof, and right now you can’t provide it.
Quantified risk posture across every AI agent, scored and ranked
Prioritized maturity scoring across 12 governance capability areas
Board-ready reports are generated on demand
Some EU AI Act requirements are already being enforced. Manual evidence collection can take months. Agents and auditors expect timely compliance.
Receive article-by-article EU AI Act assessments for each agent
Access immutable audit evidence, from Oleria identity graph rather than spreadsheets or screenshots
Benefit from continuous compliance monitoring with real-time updates, instead of relying on quarterly snapshots
AI agent monitoring doesn’t exist. Investigation is manual, and alerts lack identity context, ownership chain, and blast radius visibility. Triage typically takes 30 to 60 minutes per incident before response can begin.
Each alert is automatically enriched with ownership chain and permission scope details
The blast radius is immediately visible, eliminating the need for manual correlation
Disable access, revoke permissions, and generate an incident report within a single workflow
Make fast, informed access decisions with rich context and risk insights
Revoke unneeded or risky access in one place — for internal or external identities
Streamline approvals with automation to reduce rubber-stamping and increase productivity
Every agent has an owner. Oleria links each agent to an accountable person or team, immediately surfaces unowned agents, and continuously captures new deployments.
JML integration flags agent credentials when a steward departs. Dormant agents are queued for review. Access that outlives its purpose is continuously identified and retired.
The access graph shows what applications and data agents can access, including activity history, so you can identify unused and unintended permissions. Over-privilege signals reveal standing access beyond any observed task scope.
Evaluate agents as identities with purpose, ownership, and behavior — just as you do for humans. Reviewers get full context. Certification campaigns generate audit evidence for compliance reporting.
Activity analysis and risk signals across the agent fleet give IR teams immediate context on who owns the agent, what it could have accessed, what it actually did, and the business impact.
Identity is the foundation of AI governance. Oleria provides a unified identity intelligence layer that gives you the visibility, control, and continuous governance needed to stay ahead of every AI agent in your environment.