| Page 171 | 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.

 

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.

Data Privacy & Governance
Enterprise Use Case

Author:

Anusha Nerella

Senior Principal Software Engineer
State Street

Anusha Nerella is an award-winning AI and fintech innovator known for her original contributions in transforming institutional trading and digital finance. She has pioneered AI-driven trading strategies, real-time big data systems, and automation frameworks that have redefined how financial institutions operate. Anusha’s innovations—from modernizing Barclaycard’s digital payments infrastructure during COVID-19 to architecting intelligent trading models—have driven measurable impact, earning her recognition as a thought leader shaping the future of AI-powered finance.

Anusha Nerella

Senior Principal Software Engineer
State Street

Anusha Nerella is an award-winning AI and fintech innovator known for her original contributions in transforming institutional trading and digital finance. She has pioneered AI-driven trading strategies, real-time big data systems, and automation frameworks that have redefined how financial institutions operate. Anusha’s innovations—from modernizing Barclaycard’s digital payments infrastructure during COVID-19 to architecting intelligent trading models—have driven measurable impact, earning her recognition as a thought leader shaping the future of AI-powered finance.

Industrial Edge
On-Device ML
Enterprise Use Case

Author:

Prem Theivendran

Director, Software Engineering
Expedera

Prem Theivendran is Director of Software Engineering at Expedera, where he leads the development and productization of Expedera’s software toolchain and SDK. With an expertise in Deep Learning, Prem has held hardware and software design roles at Intel, Cisco, Cavium, and Xpliant. Prem holds a Bachelor of Science in Electrical Engineering and Computer Sciences from the University of California, Berkeley.

Prem Theivendran

Director, Software Engineering
Expedera

Prem Theivendran is Director of Software Engineering at Expedera, where he leads the development and productization of Expedera’s software toolchain and SDK. With an expertise in Deep Learning, Prem has held hardware and software design roles at Intel, Cisco, Cavium, and Xpliant. Prem holds a Bachelor of Science in Electrical Engineering and Computer Sciences from the University of California, Berkeley.

Responsible AI is often framed in terms of ethical models and fair data—but the foundation for responsibility lies in infrastructure. In this talk, we’ll explore how platform-level capabilities like environment isolation, auditability, workload reproducibility, and resource-aware orchestration are essential to delivering AI that’s not just performant, but trustworthy. We’ll also examine how infrastructure decisions directly impact the quality and reliability of model evaluations—enabling teams to catch bias, ensure compliance, and meet evolving governance standards. If you’re building or scaling AI systems, this session will show how infrastructure becomes the enabler of responsible AI at every stage.

Data Privacy & Governance
Enterprise Use Case

Author:

Taylor Smith

Senior AI Advocate
Red Hat

Taylor Smith is a Senior AI Advocate at Red Hat, where she champions open source innovation and the responsible adoption of AI at scale. With a background in software development, Kubernetes, Linux, and technical partnerships, she focuses on helping organizations build and operationalize AI using modern infrastructure. Taylor is passionate about making AI more accessible, trustworthy, and grounded in real-world use cases. 

Taylor Smith

Senior AI Advocate
Red Hat

Taylor Smith is a Senior AI Advocate at Red Hat, where she champions open source innovation and the responsible adoption of AI at scale. With a background in software development, Kubernetes, Linux, and technical partnerships, she focuses on helping organizations build and operationalize AI using modern infrastructure. Taylor is passionate about making AI more accessible, trustworthy, and grounded in real-world use cases. 

Memory
Generative AI

Author:

Euicheol Lim

Research Fellow, System Architect
SK Hynix

Eui-cheol Lim is a Research Fellow and leader of Solution Advanced Technology team in SK Hynix. He received the B.S. degree and the M.S. degree from Yonsei University, Seoul, Korea, in 1993 and 1995, and the Ph.D. degree from Sungkyunkwan University, suwon, Korea in 2006. Dr.Lim joined SK Hynix in 2016 as a system architect in memory system R&D. Before joining SK Hynix, he had been working as an SoC architect in Samsung Electronics and leading the architecture of most Exynos mobile SoC. His recent interesting points are memory and storage system architecture with new media memory and new memory solution such as CXL memory and Processing in Memory. In particular, he is proposing a new computing architecture based on PIM, which is more efficient and flexible than existing AI accelerators, to process generative AI and LLM (large language Model) that is currently causing a sensation.

Euicheol Lim

Research Fellow, System Architect
SK Hynix

Eui-cheol Lim is a Research Fellow and leader of Solution Advanced Technology team in SK Hynix. He received the B.S. degree and the M.S. degree from Yonsei University, Seoul, Korea, in 1993 and 1995, and the Ph.D. degree from Sungkyunkwan University, suwon, Korea in 2006. Dr.Lim joined SK Hynix in 2016 as a system architect in memory system R&D. Before joining SK Hynix, he had been working as an SoC architect in Samsung Electronics and leading the architecture of most Exynos mobile SoC. His recent interesting points are memory and storage system architecture with new media memory and new memory solution such as CXL memory and Processing in Memory. In particular, he is proposing a new computing architecture based on PIM, which is more efficient and flexible than existing AI accelerators, to process generative AI and LLM (large language Model) that is currently causing a sensation.

Autonomy
On-Device ML
Enterprise Use Case
Industrial Edge