Go From Identity Data to Decisions

Identity analytics is the practice of analyzing identity and access data to uncover risk, enforce least-privilege access, and inform governance decisions, covering who has access to what, why, and how it's being used, across every user, app, and system. With Lumos, identity analytics runs on Albus, which delivers real-time insight into over-provisioned accounts, access anomalies, and policy gaps.

Identity data is the information tied to a user's digital identity: role, department, group memberships, application entitlements, login history, and access activity. Lumos aggregates this data across your HRIS, IdP, and 300+ apps, giving IT and security teams full visibility into who has access to what and how it's used.

Identity analytics dashboards are visual, often role-based views built to answer a specific identity question, such as which accounts hold privileged access or where access was left behind after a role change, rather than a generic report. Lumos ships prebuilt templates for privileged posture, shadow IT and AI governance, JML hygiene, and SoD risk, and lets teams build their own with drag-and-drop or a plain-language question to Albus.

Common use cases include detecting over-provisioned or orphaned accounts, enforcing least privilege and role clean-up, identifying shadow IT and redundant apps, supporting audit readiness with access trails, and flagging risky access combinations and SoD violations. Lumos operationalizes each of these through automation, so teams act on the finding instead of just seeing it.

IT typically uses identity analytics to track license usage and app adoption; Security uses it to catch privileged access and shadow IT risk in real time; GRC uses it to pull SoD and access-posture evidence for a framework like SOC 2 or SOX. Lumos serves all three from the same underlying access graph, with role-based dashboards scoped to what each team needs to see.