The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented scale. Powered by accelerated computing, AI factories enable enterprises to train, fine-tune, and deploy AI with greater speed and efficiency.
This new class of infrastructure also introduces a fundamentally new attack surface spanning infrastructure, software supply chains, models, data, and autonomous agents with increasing authority to act. As agentic AI adoption accelerates, adversaries are increasingly targeting both AI infrastructure and the applications it powers, creating new risks to the confidentiality, integrity, and availability of mission-critical systems.
Traditional security architectures were not designed for the scale, complexity, and performance demands of AI factories. Securing this new infrastructure requires security that is distributed, full-stack, and accelerated.
This post explains how NVIDIA BlueField data processing units (DPUs) and NVIDIA DOCA secure AI factories through runtime detection, data access control, and accelerated network enforcement to protect AI infrastructure, workloads, agents, and data at AI scale.
