The 2026 Threatscape

As AI rapidly transforms the technological landscape, organizations face unprecedented security challenges that mean cybersecurity approaches must evolve. The convergence of AI with enterprise systems introduces new vulnerabilities, from confidential data exposure to emerging threat vectors that traditional security frameworks simply aren't designed to address.

The democratization of AI tools has created a dangerous security gap, with users routinely entering sensitive information and developers uploading proprietary code to public AI systems without adequate safeguards. This vulnerability extends to IoT ecosystems where AI-enabled devices must operate securely even in physically accessible environments—from factory floors to smart buildings. IoT manufacturers typically implement inconsistent, device-specific security protocols rather than adopting industry-standard frameworks, creating fragmented protection against evolving threats.

Cybersecurity leaders play a significant role in this context. They must transition from purely defensive roles to become strategic partners in AI governance, actively shaping AI policy and strategy to address these emerging challenges. Join Rob Clyde, Past Chair of ISACA and Chairman of Crypto Quantique, as he shares essential insights on securing your organization in the AI era.

Key takeaways:

- Learn essential cybersecurity considerations for IoT and other critical systems in the AI era
- Understand how cybersecurity professionals must actively shape AI policy and strategy
- Gain insights from ISACA's recent research on the current state of AI and cybersecurity
- Explore real-world examples of cyberattacks and vulnerabilities involving AI-powered IoT devices
- Discover strategies to address Shadow AI and protect sensitive information in AI systems