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AI power privileged access management solution

CyberQP is transforming from a policy-driven PAM model to an intent-driven, AI-powered privileged access platform.

This shift is driven by growing operational complexity across MSP and enterprise environments, where static policies no longer scale with the speed, volume, and risk of modern identity workflows.

The work focuses on reducing cognitive load for technicians while improving security posture across human and non-human identities through AI-assisted decisioning and remediation.

Role:

Lead designer

Scope:

Platform-level design across AI-assisted PAM workflows

Team:

Director of Product, 2 cross-functional product squads, security and engineering partners

Due to the sensitive and competitive nature of this work, detailed flows, data models, and system logic are intentionally omitted from this public case study.

I'm happy to walk through deeper rationale, tradeoffs, and system-level decisions behind this work in conversation.

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