In this session, we will explore the critical intersection of Artificial Intelligence (AI) and impact on cybersecurity. You’ll gain insights into what AI Security entails, the Security AI Framework, and the various AI Security models shaping today’s landscape. We will examine the key threats and risks associated with AI, and discuss practical strategies to mitigate these challenges through robust security capabilities. We’ll also examine how AI Security reshapes Identity and Access Management (IAM), and what steps organizations can take to stay resilient in this rapidly changing security landscape. Key Takeaways: Understand the fundamentals of AI Security and why it matters. Learn about the Security AI Framework and AI Security models. Identify common threats and risks in AI systems. Discover mitigation strategies and security capabilities to safeguard AI. Explore the impact of AI Security on IAM and how to adapt your identity strategy.

Despite tighter compliance mandates, cyber risk keeps rising. Identities – whether Human, Machine, or Agentic AI – remain the prime target. Threat actors constantly evolve their tactics to exploit hidden paths to privilege and gain access to launch sophisticated attacks. Managing elevated permissions across hybrid environments is complex, and traditional PAM tools fall short by focusing only on privileged accounts, leaving dangerous gaps. This session shows how modern, identity-centric PAM closes those gaps – securing all users, reducing risk, and streamlining access. You’ll learn how to break down identity silos, eliminate blind spots, and give your security team the visibility and control to protect every identity and every privilege – across every environment.

How do you build a future-proof CIAM strategy that actually drives business value? In this session, learn from a real-world transformation where B2B and B2C identity were rebuilt from scratch under high pressure. Discover how to balance security and customer experience, deliver quick wins with measurable ROI, and create an IAM operating model that the business actually adopts. Walk away with practical insights on turning CIAM into a growth enabler rather than a bottleneck.

IGA modernization can be approached as an integration- and data-driven evolution of existing capabilities. IGA can be modernized through modular integration, where ITSM tools act as the user-facing front end and connect with CMDB data to provide application and service context. Through APIs, IGA can support access requests and fulfilment flows, while data is also extracted into enterprise data platforms such as Databricks for role mining, access risk insights, audit evidence, and reporting. This API enablement and data foundation can then support MCP and agent-based integrations, enabling intelligent assistants to retrieve context, trigger workflows, and guide users through policy-compliant access processes. These capabilities can be delivered with on-premise IGA solutions, while assessing whether to build custom AI capabilities on extracted data or use the IGA platform’s built-in AI tools.

Most IAM teams recognise geopolitical risk, but struggle to translate it into concrete IAM decisions. This workshop bridges that gap. Through structured exercises, participants will learn how to turn geopolitical drivers (regulatory pressure, sanctions, sovereignty, vendor dependency) into actionable IAM guardrails, risk entries and roadmap items that CIOs, CISOs and auditors can stand behind.