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AI Security

What is AI Security?

Measures to protect AI systems from adversarial attacks, data poisoning, model theft, and other threats specific to machine learning systems.

AI and Technology

Each of these is named in at least one of the same controls as ai security. The number is how many controls name both.

What the standards actually require on ai security

Requirements naming ai security across 4 standards, quoted from the control text.

VEU authorises exports, reexports and transfers of eligible items to end users approved by BIS and listed in Supplement No. 7: General VEU for the PRC and India, and Data Center VEU (universal, for owners headquartered in the AI Authorization countries, or nat...

ear-export-administration-regulations::748.15 · 748.15 Authorization Validated End-User (VEU) →

Mitigate CBRN information or capabilities risks per NIST AI 600-1 RISK-01 including: training data filtering for chemical + biological + radiological + nuclear hazardous content + model evaluation against WMDP benchmarks + safety filters at inference + uplift...

NISTAI600-6 · CBRN, Cybersecurity, and Information Security Risks (Risks 1, 9) →

The 2024 response found that highly capable general-purpose AI challenges a context-based framework and set out a case for targeted binding requirements on the small number of developers of such systems, while relying for now on voluntary measures: the Emergin...

uk-ai-regulation-framework::G1 · Highly capable general-purpose AI: voluntary measures and possible binding requirements →

Questions people ask about ai security

What is AI Security?
Measures to protect AI systems from adversarial attacks, data poisoning, model theft, and other threats specific to machine learning systems.
Why is AI Security important for compliance?
AI Security is a key concept in AI and Technology. Understanding ai security helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 1,016 frameworks with 316K cross-framework control mappings.
Which compliance frameworks address AI Security?
AI Security appears in the requirement text of EAR - Export Administration Regulations, Hong Kong Personal Data (Privacy) Ordinance (PDPO, Cap 486), NIST AI 600-1: Generative AI Profile, UK AI Regulation Framework. Across these standards we have identified 4 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about AI Security?
Explore our compliance framework pages to see how ai security applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 1,016 frameworks.

See how AI Security applies across compliance frameworks

Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.