Road to EIC: Automated Identity Access Decisions: Building Trustworthy AI Systems

AI is rapidly reshaping how identity and access decisions are made, promising greater speed, scale, and contextual awareness. Yet as automation increases, so do concerns around trust, transparency, and control. Organizations must ensure that AI-driven identity decisions remain secure, explainable, and aligned with human intent.

Modern IAM architectures are beginning to embed AI across access decisions, threat detection, and lifecycle management. Techniques such as metadata enrichment, automated onboarding, and adaptive risk analysis can improve security and productivity. The challenge lies in governing these systems, so automation strengthens trust rather than undermining it.

Jonathan Care, Lead Analyst at KuppingerCole Analysts will examine how AI is being applied in IAM today, focusing on practical implementation patterns and emerging best practices. He will address how organizations can balance automation with governance, accountability, and measurable trust in identity-driven decisions.

Massimo Flore, Digital and Media Education Programme Leader at Aurora Fellows and Martin Sandren, Identity Architect at IKEA will provide real-world and forward-looking perspectives. They will discuss operational AI use cases in IAM and introduce new trust models that go beyond static verification to address behavioral evolution, intent alignment, and the long-term integrity of AI-driven interactions.