2025 年雲端 AI 風險報告：Helping You Build Secure AI Models in the Cloud

Join us to uncover critical cloud security vulnerabilities, misconfigurations, real-world risks, and expert strategies for securing AI workloads.

The explosive growth of AI and large language models (LLMs) in the cloud has introduced unprecedented cloud security challenges – from unpatched AI software vulnerabilities to misconfigured cloud environments that expose sensitive data. Are your AI workloads secure?

Get help addressing this challenge by checking out this on-demand webinar, which explores key insights from the 2025 Tenable Cloud AI Risk Report and reviews practical strategies for securing AI models in the cloud.

Topics covered will include:

• Key report findings observed in self-managed AI developer tools and frameworks offered by AWS, Google Cloud, and Microsoft Azure
• Mitigation and security best practices for protecting your AI workloads and applications
• Practical approaches for leveraging Tenable Cloud Security to secure your AI workloads

哪些人應該參加？
Security leaders, cloud architects, DevSecOps, and infosec professionals responsible for securing AI workloads and applications in public cloud environments.

立即報名並觀看隨選網路研討會。