Threat Landscape: AI in the Cloud

Virtual event

Feb 19, 2026 5:00 PM - Feb 20, 2026 12:00 AM

Register today

Key Takeaways

Map how AI changes attacker behavior in the cloudFrontier models are giving attackers new tools to discover vulnerabilities and generate working exploits. This session breaks down the specific patterns Wiz researchers are tracking and what they mean for your defenses.
Spot the cloud security gaps AI adoption leaves openFamiliar misconfigurations in identity, networking, and access control persist alongside new AI-specific risks. Learn where blind spots form when teams shift focus to AI without closing existing exposures.
Identify where AI risk concentrates across your stackRisk clusters at the intersections of identity, data access, and model infrastructure. This session shows you exactly which layers demand attention first and how to build a practical evaluation framework.

About this webinar:

This on-demand session shares original research from the Wiz threat research team on how AI adoption is reshaping cloud security. You will see where new attack patterns are emerging, which familiar cloud weaknesses remain exploitable, and how risk concentrates at the intersection of identity, data access, and model infrastructure. The session gives you a practical framework for evaluating where your own environments are most exposed to AI-driven threats, grounded in real findings rather than speculation. Whether you are building AI-powered applications or securing environments where AI workloads run, you will walk away with a clearer picture of what has actually changed and where to focus your effort, including:

See original Wiz Research findings on how frontier models are changing attacker capabilities in cloud environments
Identify the specific cloud security gaps that persist alongside new AI-specific risks, so you can close both
Learn where AI-related risk concentrates across identity, data access, and model infrastructure layers
Walk away with a practical framework to evaluate your own environment's exposure to AI-driven threats