Compute Security

Compute security encompasses the protection of computational infrastructure, processors, and hardware against unauthorized access, malware, side-channel attacks, and other threats that could compromise data or system integrity. In enterprise AI governance, compute security is critical because AI workloads often process sensitive data and run on shared or cloud-based infrastructure where isolation and access controls must be rigorously enforced. Weak compute security can enable attackers to extract training data, manipulate model outputs, or disrupt AI systems that organizations depend on for business decisions.

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ResearchISO/OECD/UN2026-05-26

AI Governance Problems, Policy Options, and Research Gaps Mapped in LawAI Literature Review

LawAI released a comprehensive literature review titled 'Advanced AI Governance: A Literature Review of Problems, Options and Research Challenges,' surveying recent academic and policy research across compute security, software export controls, AI licensing, system evaluations, and procurement rules for AI safety. The review also examines corporate governance proposals including Responsible Scaling Policies and AI certification schemes. Published in January 2025, the document is intended to map the current state of knowledge and identify open research questions for policymakers and governance practitioners.

AI governance compute security export controls AI licensing model evaluation procurement risk management accountability responsible scaling transparency