Confidential AI Summit at RSA

​As organizations scale AI, trust, security, and sovereignty are as critical as performance. Models, prompts, and sensitive data must remain protected, regardless if AI workloads run across on-prem environments or shared infrastructure.

Join us for insightful conversations on the intersection of confidential computing, platform orchestration, and trusted AI. Discussions will be centered around the challenges of deploying foundational AI models in on-premises environments, protecting sensitive data during inference, and scaling secure AI workloads across cross cloud, on-premises, in AI factories and sovereign environments.

Featured Panelists:

• ​ Anand Kashyap, Co-founder & CEO, Fortanix
• ​ Julio Tapia, Global Head of Partner Ecosystem, NVIDIA
• ​ Mohan Atreya, Chief Product Officer, Rafay

​The panel will be moderated by Anuj Jaiswal, Chief Product Officer, Fortanix

If you’re focused on the future of secure AI, register to join us on the evening of March 24th, 2026. Space is limited to ensure high-impact networking and candid dialogue.

Rafay's Valued Partnerships:

Featured Resources

Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud \
Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.

Learn More](/content/resources/white-papers/cisco-rafay-ai-pods-gpu-cloud/index.html)

GPU cloud evaluation report \
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.\
Learn More](/content/resources/white-papers/gpu-cloud-evaluation-report/index.html)

From GPUs to Revenue: A Practical Guide to AI Factory Builds \
This white paper breaks down what it actually takes to turn GPU investments into measurable business outcomes.\
Learn More](/content/resources/white-papers/from-gpus-to-revenue-a-practical-guide-to-ai-factory-builds/index.html)

AI Token Factory \
AI Token Factory extends the Rafay Platform to deliver AI services through APIs and token-metered consumption. Production-ready AI APIs run on GPU infrastructure while maintaining governance, multi-tenancy, and operational control. Token-metered consumption provides visibility into usage and enables internal chargeback or monetization models.\
Learn More](/content/resources/datasheets/ai-token-factory/index.html)