Securing AI in Business Applications Through Strong Identity Management

Wednesday, August 12, 2026 | 11:00 AM PST

As AI and autonomous agents become embedded in business applications, securing machine identities is emerging as a critical challenge. Yet amid the focus on securing AI itself, organizations often overlook application access governance, increasing exposure to insider threats, fraud, and unauthorized access.  

Join us for a fast-paced webinar exploring the connection between AI agents, identity security, and application access governance. Just as identity lifecycle management (ILM) provides the framework for provisioning and managing human access, similar approaches are needed to govern AI agents operating across enterprise systems and business applications.  

A strong security posture depends on identifying, provisioning, managing, and continuously assessing the risks associated with all identities, human and machine alike. Learn how your organization can implement practical strategies to manage AI agents effectively while maintaining robust application access governance in an increasingly AI-driven environment.

Featured Speakers

Frank Vukovits
Frank Vukovits
Frank is Chief Security Scientist at Delinea. He has over three decades of experience as an auditor and security professional, along with corporate IT executive management. Frank holds Certified Internal Auditor (CIA) and Certified Information System Auditor (CISA) designations, and passed the CISSP exam in 2001. He is a frequent speaker at audit (IIA), IT audit (ISACA), software publishers, security, and user group events.
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Mike Albrecht
Mike is an Associate Director within Risk Advisory at CrossCountry Consulting, where he leads Identity and Access Management (IAM), cloud security, and AI security engagements across enterprise and mid-size clients. With over 12 years of experience, Mike specializes in identity and agentic AI security. Mike has been at the forefront of developing methodologies, frameworks, and playbooks for the secure adoption of AI across businesses and establishing best practices for governing AI agents interacting with enterprise systems.