As artificial intelligence infrastructure scales across enterprises and public sector organizations, security, transparency, and compliance have become critical operating requirements. Modern AI environments are highly distributed, GPU-accelerated, and often shared across multiple tenants, yet visibility and runtime protection at the GPU layer remain limited.
To address this challenge, Stealthium and Substrate AI have formed a strategic partnership to deliver runtime security and observability for GPU-powered AI workloads, enabling enterprises to operate large-scale AI environments with confidence.
The Security Challenge in Modern AI Infrastructure
AI inference and training stacks consist of multiple layers, GPU accelerators, orchestration platforms, model pipelines, and inference services, each introducing new risks. High-value models and sensitive data are processed on shared GPU infrastructure, while advances in large language models have expanded the attack surface for misuse, data leakage, and abuse.
Security and infrastructure teams frequently lack:
- Visibility into what's actually executing inside GPUs—not just utilization metrics but CUDA kernel activity, memory allocations, and driver behavior
- Verification that tenant isolation is enforced at the VRAM level, with detection of unauthorized model execution or data exfiltration
- Continuous audit evidence required for GDPR, ENS, and AI Act compliance
An Integrated Runtime Security Approach
Through this partnership, Stealthium and Substrate AI integrate runtime protection and observability directly into AI infrastructure, without requiring changes to applications or AI models.
Stealthium provides a specialised runtime security and observability layer for NVIDIA GPU-based AI environments, operating at both node and workload level. The combined solution enables:
- Real-time visibility into which models run on which GPUs, for which tenants, and with what data
- Continuous detection of AI-specific threats, including data exfiltration, model abuse, jailbreak attempts, crypto-mining, and GPU misuse
- Zero-overhead protection designed for high-performance AI workloads
- Automated audit trails to demonstrate isolation, access control, and activity for compliance and governance
By embedding security directly into GPU systems and AI workloads, Substrate AI can now leverage Stealthium to enable organizations to deploy, scale, and operate AI infrastructure securely across shared and sovereign environments.
About the Partnership
This collaboration brings together Stealthium's purpose-built runtime security for AI workloads with Substrate AI's sovereign cloud platform and expertise in large-scale AI infrastructure. Together, they address one of the most critical gaps in modern AI operations: securing GPUs and AI workloads in real time.
For more information about the partnership and the joint solution, please contact Stealthium or Substrate AI.