FORGE Framework Released: Top 10 AI Data Center Security Risks
AccBalanced · x · 2026-09-02
The newly released FORGE framework aims to address infrastructure security in AI data centers, shifting the security focus below the model layer to the underlying hardware and management stack.
- Purpose: It is a practical framework for NeoCloud providers, security architects, and CISOs to identify and mitigate critical risks in AI compute infrastructure.
- Core Concept: With the rapid expansion of data centers and GPU clouds, security risks in hardware, networking, storage, and physical operations have intensified. FORGE provides a shared language for providers and customers to assess GPU clouds and AI clusters.
- Scope: It covers physical hardware, management planes, provider controls, and trust boundaries in multi-tenant environments.
- Content: It details the "Top 10 Data Centers & AI Infrastructure Security Risks," helping translate critical failure modes into concrete security requirements.
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