Trustworthy AI & Autonomous Identity Decisioning
Combined Session
Wednesday, May 20, 2026 12:05—13:05
Location: A 05-06
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Wednesday, May 20, 2026 12:05—13:05
Location: A 05-06
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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.
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Since the beginning of space exploration, countries have raced to put objects into Earth’s orbit, providing us with telecommunications, GPS services, weather tracking, and contributing to science in ways we can only imagine. But after decades of uncontrolled launches, space has also become increasingly more congested, with over 48,900 different objects currently circling the earth. These objects that represent risk to humans both in space and on the ground, the “ethical debt” of rushing to exploit this untapped resource without proper foresight or proper controls.
The core of this growing problem is purpose or "intent"; objects deemed beneficial should be allowed, and harmful ones eliminated. But the calculation of intent is not always so straightforward. Who launched the object? What was its original stated purpose? Who currently controls or owns the object? And how do we validate these claims?
The adoption of agentic AI presents a similar problem for identity. Access controls and real-time governance of automated actors depend on an analogous understanding of intent. Purpose, creation, ownership, operation—these are all factors in the calculation of the purpose of an agent's activity and actions. While calculation of intent is (at times) relatively straightforward, it's more often a rapidly evolving, challenging operation.
We'll learn lessons from what space exploration has gotten right (and horribly wrong) as it seeks to evaluate intent and seek to apply that insight to the current frontiers of identity.
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As AI agents, deepfakes, and automated attacks outpace traditional IAM, organisations face a widening identity trust gap. Drawing on Ping Identity’s State of Trust research, this session examines how to move from static authentication to continuous, verified trust - helping security leaders assess their current posture and apply practical, risk-adaptive IAM patterns over the next 12–24 months.
