The Biggest AI Risks of 2026

As organizations scale the use of AI systems, security risks are shifting from traditional data breaches to the misuse of sensitive data within AI workflows. Models may be trained on data they were not intended to access, while non human identities and autonomous agents gain increasing levels of system access. This webinar examines the emerging AI security risks expected to shape enterprise environments in 2026.

The session explores how sensitive data used in AI training can create long term security and governance challenges. Speakers will also discuss the rapid growth of non human identities as a risk surface and the role of AI Security Posture Management in managing these environments. Attendees will gain a practical framework for governing how AI systems access and use data, helping security teams move toward proactive prevention of AI driven misuse.