AI agents act. They make decisions, call APIs, manage data – often without a human watching over them. But what happens when something goes wrong? This session shows how companies can stay in control without giving up the benefits of autonomous systems.

The focus is on identity-centric security models in which AI agents are treated as independent, controllable identities with clearly defined permissions, traceable actions and controlled access. Participants will gain concrete insights into how typical risks – uncontrolled tool usage, lack of transparency and excessive access rights – can be addressed in a targeted way, while secure automation creates scalable business value.

• From LLM to autonomous AI agent: new capabilities, new risks and changing security requirements
• Identity for machines: AI agents as controllable identities with lifecycle management, delegation and clear responsibilities
• Security architecture for Agentic AI: fine-grained authorization, policy enforcement and context-based access control
• Transparency and control: monitoring, auditability and targeted intervention options – from kill switches to approval flows
• Scalable integration: securely integrating AI agents into existing IAM and enterprise architectures to create real business value

Key question of the webinar:
How can autonomous AI agents be controlled and secured in a way that enables them to deliver real value – without putting control, traceability and governance at risk?

Sebastian Rohr has been an expert in PAM architecture and identity management for more than 20 years. He defines strategies for the digital transformation of processes in international corporations and companies with regulatory requirements, including KRITIS, DORA and related frameworks.

Michael Pattison is a Principal Solutions Engineer and CIAM expert with more than 20 years of experience in pre-sales. He specializes in secure, scalable identity solutions with Okta and Auth0.