AI-powered applications are rapidly reshaping how businesses innovate—but they also expose organizations to a new wave of security threats. From model poisoning and namespace hijacking to data leakage and compromised AI agents, these risks extend beyond the reach of traditional cloud security tools.
In this webinar, we’ll walk through the evolving architecture of AI applications and spotlight the most critical vulnerabilities across the pipeline. We’ll also share findings from our latest cloud security research, including real-world attack patterns we’ve observed and the implications for securing AI workloads at scale.
Whether you’re in cloud security, DevSecOps, or AI development, you’ll walk away with practical strategies for protecting your data, models, and infrastructure.
