Emerging Tech & Identity Fabrics II

The boundaries of enterprise identity are being redrawn. Traditional perimeters have given way to a fragmented edge where users, devices, workloads, and autonomous agents all operate with varying levels of trust. This track explores how identity architectures are evolving to secure this new reality.

Sessions will examine the growing importance of device trust as a foundational control. Authenticating a user is no longer enough. Identity must be bound to the security posture of the device from the first interaction, with continuous evaluation based on signals from endpoint and security systems. Attendees will gain insight into how this approach strengthens Zero Trust models and reduces exposure to credential-based attacks.

A central theme is the rapid expansion of non-human identities. Certificates, keys, workloads, APIs, and AI-driven agents are now a growing part of the identity landscape, often with limited visibility and control. The track will explore how identity fabrics can orchestrate access for these actors, replacing static credentials with short-lived, context-aware access that aligns with real-time conditions.

The rise of autonomous agents introduces new architectural and governance challenges. Identity systems must ensure that every action can be traced to a defined origin, intent, and level of authority. Sessions will address how to manage agent lifecycles, enforce least privilege through just-in-time access, and maintain control in environments where actions occur at machine speed.

Regulatory pressure adds another layer of complexity. As identity becomes a regulated component of digital infrastructure, organizations must align technical design with requirements for resilience, accountability, and auditability across distributed systems.

Across these topics, attendees will gain practical frameworks for building identity fabrics that unify human and non-human identities, evaluate trust continuously, enforce controls at every layer, and support secure operations in increasingly autonomous environments.