Identity systems are approaching a point where foundational assumptions no longer hold. Advances in quantum computing and the rapid emergence of autonomous AI agents are forcing a re-evaluation of how identity is defined, secured, and governed. This track explores the architectural shifts required to address these changes.
One focus is the growing importance of post-quantum cryptography. As existing cryptographic methods face long-term decryption risks, organizations must begin transitioning identity systems toward quantum-resistant approaches. This affects authentication, credential issuance, and the protocols that underpin both centralized and decentralized identity models. Sessions will provide guidance on how to assess exposure, prioritize migration, and prepare identity architectures for long-term resilience.
At the same time, AI agents are becoming active participants in digital systems. These actors are no longer simple service accounts but operate with autonomy, decision-making capability, and the ability to interact across multiple systems. Traditional identity models struggle to manage this shift, particularly in areas such as delegation, authorization, and accountability.
The track will explore new approaches that treat autonomous agents as first-class identities. This includes multi-layered authorization models, continuous monitoring of agent behavior, and mechanisms to ensure traceability and control across complex chains of interaction. Attendees will gain insight into how to govern agent lifecycles, establish ownership, and detect misuse even when actions are performed with valid credentials.
Across these topics, the emphasis is on preparing for structural change. Participants will leave with a clearer understanding of how identity must evolve to support a future defined by autonomous systems, long-term cryptographic risk, and the need for continuous, verifiable trust.
Moderation
Sessions
