Rapid advances in artificial intelligence are reshaping how organizations handle digital identities. Federated identities, multi-tenancy, and dynamic trust boundaries demand smarter, scalable solutions. Organizations must balance security with seamless access or risk inefficiency and exposure.
Modern IAM leverages AI and machine learning to automate onboarding, detect anomalies and enforce adaptive authentication. By integrating AI-driven decisioning, businesses can secure APIs, streamline partner access, and future-proof their identity infrastructure.
John Tolbert, Director of Research and a Lead Analyst at KuppingerCole, will explore how AI is redefining IAM paradigms. He’ll analyze emerging threats, ethical considerations, and architectural best practices for resilient B2B identity frameworks.
Jacob Ideskog, CTO at Curity, will showcase how Curity’s identity platform is applying AI to streamline onboarding, strengthen policy enforcement, and intelligently manage access across complex B2B environments. He’ll share real-world implementations, discuss lessons learned, and offer a vision for how AI can empower enterprises to scale trust securely and efficiently.
Who Should Attend:
This webinar is perfect for IAM and security architects, DevSecOps and platform engineers, and enterprise architects looking to integrate AI-driven identity controls. Security leaders (CISOs, CTOs), compliance and privacy officers, and identity-focused product managers will also gain strategic insights and real-world best practices for building resilient, scalable B2B trust frameworks.
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