Adaptive Identity Governance built on a unified platform

Traditional IGA relies on static roles and manual rule-building, a process that is slow to deploy, expensive to maintain, and constantly falling out of date.

Oleria introduces Adaptive Identity Governance, a fundamentally new approach built on the AI-native Trustfusion platform and a data-first identity foundation. Instead of relying on static policies, Oleria continuously analyzes how access is actually used across your environment.
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Oleria enables organizations to:

• Manage access from a single platform built on unified identity intelligence
  
• Enforce least privilege based on real usage patterns
• Automate joiner, mover, and leaver workflows without manual rule maintenance
• Continuously adapt governance policies as the organization evolves

The result is identity governance that deploys quickly, stays accurate over time, and produces real security outcomes.

Oleria is designed for rapid time-to-value. Most organizations connect their first systems and begin surfacing governance insights in under an hour.

How it works:
‍Unlike traditional IGA platforms that require months of role mining and configuration, Oleria connects directly to your existing identity providers and HR systems. Once connected, the platform begins analyzing identity relationships, access patterns, and usage signals immediately.

Organizations typically start seeing meaningful governance coverage within weeks — not quarters — without requiring large implementation teams or consulting engagements.

Yes. Oleria is designed to work alongside your existing identity infrastructure.

‍How it works:
Oleria integrates with platforms like Okta, Microsoft Entra ID (Azure AD), and other identity providers to collect identity context, user attributes, and access data. Rather than replacing your existing stack, Oleria acts as the intelligence and governance layer on top of the systems you already use.

This approach allows organizations to enhance governance and visibility without disrupting their existing identity architecture.

Oleria makes access certifications significantly easier by enriching review decisions with usage data and peer context.

The Oleria difference:
Instead of reviewing long lists of cryptic entitlements, reviewers see:

• Who currently has access
  
• Whether that access is actively used
• How that access compares to peers in similar roles

This context dramatically reduces review fatigue, shortens certification cycles, and produces decisions that are easier to defend during audits.

Oleria analyzes access patterns across users with similar attributes — such as role, department, location, or team — to understand what access is typical and appropriate for that group.

‍Why this matters:
‍Traditional role mining produces static roles based on a single snapshot in time. Those roles quickly become outdated as organizations evolve.
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Peer-based intelligence is dynamic. It continuously reflects how access is actually used across the organization, allowing Oleria to recommend governance actions that remain accurate as teams, tools, and responsibilities change.

When a new employee is detected in your HR system, Oleria identifies their peer group based on attributes such as role, team, and department.

‍How provisioning works:
‍Oleria analyzes what access similar employees actually use and recommends an access bundle aligned with those patterns. This bundle can then be automatically provisioned, allowing new employees to receive appropriate access on day one without IT processing a long list of individual requests.

Access bundles in Oleria are derived from real usage patterns rather than manually defined by administrators.

‍How Oleria maintains them:
‍The platform identifies clusters of permissions that frequently appear together among similar employees and packages them into recommended access bundles. As the organization evolves — with new tools, teams, and workflows — Oleria continuously updates these recommendations. This keeps access bundles relevant without requiring constant manual maintenance.