2025년 클라우드 AI 위험 보고서: 클라우드에서 더 안전한 AI 모델을 구축하도록 지원

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

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Security leaders, cloud architects, DevSecOps, and infosec professionals responsible for securing AI workloads and applications in public cloud environments.

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