AI Risks & How to Prevent Them – Insights from the 2025 Tenable Cloud AI Risk Report – Tenable Triple-T
As organizations rapidly adopt AI and large language models (LLMs), new and complex cloud security challenges are emerging. From unpatched software vulnerabilities to misconfigured environments exposing sensitive data, the risks to AI workloads are growing. Is your organization secure?
Our session will explore critical insights from recent research, including real-world vulnerabilities and misconfigurations found in self-managed AI developer tools and services across AWS, Google Cloud, and Microsoft Azure. Learn actionable security best practices to protect your AI workloads in dynamic cloud environments.
Frank has spent the last 9 years with Tenable serving as a trusted advisor to organizations focusing on Proactive Security by helping to harden customer environments and making them more resilient to attack. In his current role, he is focused on identity centric cloud security to provide context and reduce exposures across the modern day attack surface.
