From Reactive to Proactive: AI Agents in Identity and Access Management
IT teams chase orphaned accounts, duplicate identities, and systems that never sync. They fix one problem and three more appear. This is reactive work. It kills productivity and creates risk. AI agents change this. They hunt problems before problems hunt you. They clean data while you sleep. They prevent the fires instead of fighting them. Real deployments show 80% less manual cleanup. Better compliance. Happier users. This presentation shares five practical lessons from real-world deployments of AI Agents for identity data remediation, covering both technical approaches and organizational considerations for gaining stakeholder buy-in. Attendees will learn actionable strategies that align with Gartner's recommendations for modern identity governance.
This presentation will address the following questions:
- How can AI agents proactively identify and remediate identity data issues before they become security risks?
- What are the most common roadblocks to AI adoption in identity governance, and how can you overcome them?
- What results have real-world organizations seen after deploying AI agents for identity cleanup and lifecycle management?
The presentation is for you, if....
- You manage or secure user identities in enterprise IT environments.
- You’re frustrated with manual cleanup of orphaned or misconfigured accounts.
- You’re evaluating or deploying AI in identity governance or IAM workflows.
- You want to improve compliance, reduce risk, and align with modern identity strategies.