Beneath the Racks: How a Leading Cloud Provider Secures AI Data Center Infrastructure | Kisaco Research

As AI-native cloud platforms scale to meet global demand, the data center IT infrastructure powering generative AI has become a prime target for attackers. In this session, Dr. Yuriy Bulygin—CEO of Eclypsium and former Chief Threat Researcher at Intel—shares a case study from one of the world’s fastest-growing AI cloud providers that supports OpenAI, Microsoft, and NVIDIA workloads and how they are offering secure AI infrastructure that their customers demand.

This provider faced the challenge of protecting thousands of specialized servers, GPUs, and system components—without slowing growth. Learn how they implemented a turn-key approach to data center security, leveraging firmware integrity verification, automated vulnerability management, and continuous supply chain monitoring.

Attendees will gain insight into:

  • Why infrastructure threats in AI data centers are rising—and often invisible

  • What does a secure AI cloud look like and how to minimize risk

  • Lessons for building resilient, secure AI data centers without adding operational drag

If you're responsible for AI infrastructure, securing the data center isn’t just an IT concern—it’s foundational to model integrity and platform trust.

 

Speaker(s): 

Author:

Yuriy Bulygin

Co-Founder & CEO
Eclypsium

Yuriy Bulygin is Co-Founder & CEO at Eclypsium. Prior to founding Eclypsium, Yuriy led the Advanced Threat Research team at Intel Security and the microprocessor security analysis team at Intel Corporation. He also created CHIPSEC, the open-source firmware and hardware security assessment framework.

Yuriy Bulygin

Co-Founder & CEO
Eclypsium

Yuriy Bulygin is Co-Founder & CEO at Eclypsium. Prior to founding Eclypsium, Yuriy led the Advanced Threat Research team at Intel Security and the microprocessor security analysis team at Intel Corporation. He also created CHIPSEC, the open-source firmware and hardware security assessment framework.

Time: 
5:35 PM - 5:55 PM
Agenda Track No.: 
Track 4
Session Type: 
Track
Session Stage: