AIdentity
Combined Session
Wednesday, May 07, 2025 15:35—16:35
Location: B 05
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Wednesday, May 07, 2025 15:35—16:35
Location: B 05
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In an era where artificial intelligence is reshaping Identity and Access Management (IAM), this talk explores the crossroads of AI and identity. Join Martin Kuppinger, Principal Analyst at KuppingerCole Analysts, as he examines both the transformative opportunities and the emerging challenges of “AIdentity.”
AI is already revolutionizing IAM: advanced analytics detect anomalies, and generative AI creates supportive agents and streamlines code development—ushering in a future of more agile identity management. Yet integrating AI raises critical issues. When an AI agent acts on behalf of a user, how can we ensure it truly represents that individual while maintaining governance standards? What safeguards prevent an agent’s learning from inadvertently affecting user privacy? Moreover, how can we align AI’s data-centric approach with the functional nature of access entitlements to restrict an agent’s privileges effectively?
This session will not only pose these pressing questions but also offer initial solutions and visionary ideas to advance AIdentity. Attendees will gain valuable insights into the potential and pitfalls of AI in identity, setting the stage for a robust discussion on governance, security, and the future of IAM.
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As GenAI becomes a part of the enterprise toolset, CISOs are required to understand risks and advise the board on matters of governance. In this presentation, we explore some of the challenges in this emergent and rapidly evolving area and outline a proposed action plan.
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As artificial intelligence increasingly permeates identity ecosystems, traditional models of identity management are undergoing a profound transformation. This panel explores the emerging paradigm of intelligent identities—where AI not only supports identity verification but also drives context-aware decision-making, risk assessment, and adaptive access control. Experts from across the fields of cybersecurity, identity governance will discuss how machine learning is reshaping digital identity, the challenges of algorithmic bias and data privacy, and what organizations must consider as they adopt AI-driven identity solutions. Join us for a forward-looking dialogue on the technologies, policies, and principles shaping the next generation of identity management.