Explore Emerging Technologies

This paper provides an overview of the major AI risk developments, governance expectations, and security realities that have emerged in recent years.

Assurance functions must begin preparing for scenarios where quantum components coexist with classical systems.

For organizations, this evolution offers both promise and peril. On one hand, these autonomous teams can work independently to discover complex attack paths and respond rapidly to threats, reducing a significant amount of manual workload.

The security of AI environments cannot be based on the measures of the perimeter alone; it must be verified on a regular basis.

Decentralization does not abolish governance; it simply changes the way it should work.

The nature of blockchain requires a thorough reassessment of audit to uphold effective governance and risk management.

Focusing on the 3Ps—proactive, preventive, and practical—is a useful strategy for migrating to post-quantum cryptography.

Organizations must act now to address the complexity of this technology, recognizing that agentic AI presents not only technical and compute challenges but also profound identity and policy dilemmas.