Lumos Albus AI Agent

First AI Agent to bring True Autonomy for Identity Governance

Go from data to decision in minutes and take action confidently

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Save Time

Automate complex tasks like role modeling and access reviews without growing your team.

Improve Security

Move from broad, overprovisioned access to precise, least-privilege access backed by real usage data.

Scale Confidently

Albus responds to org changes and security threats in real time, without manual effort.

Why Albus

Most identity tools are copilots at best. Albus is different: it understands context, reasons through access decisions, and acts like a teammate. It’s fast to deploy, easy to maintain, and always evolving with your business.

AI-Powered Role Mining

Building clean, scalable roles is slow and painful due to messy HR data, legacy access patterns, and inconsistent entitlements. With Albus, go from messy data to usable policies in weeks, not months, and it learns to keep them current.

Analyze thousands of attribute combinations like HR data, real usage patterns, business context, etc to predict roles that actually work.

Create and enforce role structures and draft policies that align to business needs with data-backed explanations.

Learn and iterate with you through natural language — no queries or dashboards required.

Anomalous Access Detection

Most IGA tools can’t detect dangerous outliers because they lack context and are not built to detect threats. Dashboards, static rules, and manual reviews are great for access governance but not for spotting anomalies and toxic combinations.

Build baselines for “normal” access with multiple attributes like team, role, and location.

Flag outliers with clear explanations and risk scores (e.g., “Engineer has finance-level GCP access”).

Ask natural language questions like “What’s unusual in AWS?” and get precise answers instantly with clear document sources.

secure & scalable integrations