Bring Agentic AI to your IGA
Conversation with Lumos
Lumos CEO Andrej Safundzic and Field CTO Aurangazeb Khan hosted a session on how Lumos reshaped Identity Governance for the agentic AI era.
They demoed an AI-native autonomous platform that understood natural language and ran access policies, requests, approvals, reviews, and reporting. Attendees also explored Lumos’s chat-first experience powered by Albus, the industry's first Identity agent. The session highlighted why a one-way “AI wrapper” did not cut it and why organizations needed a trusted agentic framework that analyzed context, recommended least privilege, executed with guardrails, and learned over time.
Key Takeaways included:
- Architecture of choice: Whether wrapping an existing IGA or going AI-first, attendees saw how Lumos agents fit alongside their existing stack, IdP, HRIS, and ITSM.
- Pilot Plan and Metrics: How to deploy human-in-loop controls, deliver with AI speed and scale, and measure tangible outcomes.
- Security & Trust for AI: How to choose models, protect sensitive data, enforce guardrails, and generate audit-ready evidence automatically.
Lumos CEO Andrej Safundzic and Field CTO Aurangazeb Khan hosted a session on how Lumos reshaped Identity Governance for the agentic AI era.
They demoed an AI-native autonomous platform that understood natural language and ran access policies, requests, approvals, reviews, and reporting. Attendees also explored Lumos’s chat-first experience powered by Albus, the industry's first Identity agent. The session highlighted why a one-way “AI wrapper” did not cut it and why organizations needed a trusted agentic framework that analyzed context, recommended least privilege, executed with guardrails, and learned over time.
Key Takeaways included:
- Architecture of choice: Whether wrapping an existing IGA or going AI-first, attendees saw how Lumos agents fit alongside their existing stack, IdP, HRIS, and ITSM.
- Pilot Plan and Metrics: How to deploy human-in-loop controls, deliver with AI speed and scale, and measure tangible outcomes.
- Security & Trust for AI: How to choose models, protect sensitive data, enforce guardrails, and generate audit-ready evidence automatically.
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