Secure Foundations for Modern Workloads 

Leveraging the CIS Ecosystem for Securing Today's Environments
 

As organizations deploy AI applications, agentic systems, and high-performance computing (HPC) environments, they face increasing pressure to innovate quickly while maintaining a strong security foundation. Establishing consistent, secure configurations across cloud, AI, and HPC workloads is becoming essential for managing risk at scale. 

Join CIS experts for a practical discussion on how to apply proven cybersecurity best practices to modern workloads, including AI agents, large language models (LLMs), and the Model Context Protocol (MCP), a growing standard for connecting AI agents to data and systems. We'll also explore how secure configuration best practices extend to GPU-optimized and HPC environments, covering Deep Learning AMIs, ParallelCluster, and Parallel Computing Service. 

Whether you're deploying AI solutions, operating HPC environments, or modernizing cloud infrastructure, you'll leave with actionable guidance for establishing secure foundations, reducing deployment risk, and supporting innovation at scale.

• How CIS Controls and AI Companion Guides help organizations apply proven security practices to AI and agentic workloads.
• Why MCP security matters and how the CIS MCP Benchmark can support secure AI integrations.
• How CIS Benchmarks help establish secure and consistent cloud configurations.
• How to accelerate deployment of secure GPU-optimized and HPC environments using pre-hardened images.
• Practical approaches for securing modern workloads while supporting innovation and scale.