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.
Terms that appear alongside ai security
Each of these is named in at least one of the same controls as ai security. The number is how many controls name both.
- cybersecurity 3 shared controls
- nist 2 shared controls
- owasp 2 shared controls
- data protection 2 shared controls
- governance 2 shared controls
Frameworks that govern ai security
What the standards actually require on ai security
Requirements naming ai security across 4 standards, quoted from the control text.
HK PDPO operates under One Country Two Systems separation from mainland China data protection regime (PIPL + DSL + CSL all verified separately in this corpus).
HK-PDPO-Coord-China-PIPL-APEC-CBPR-2024-2025-Pipeline-AI-Breach · HK PDPO Coordination with China PIPL + APEC CBPR + Global CBPR Forum + 2024 Generative AI Model Framework + Pending 2025 Mandatory Breach + Administrative Fines →Security (Sekyuritii セキュリティ) is the fifth of 10 Principles per Japan AI Guidelines for Business + addresses cybersecurity throughout AI lifecycle including adversarial attacks specific to ML + traditional cyber threats to AI infrastructure.
JP-AIG-Security-Adversarial-Attack-Protection-Prompt-Injection-Data-Poisoning-Model-Extraction-AISI-Red-Team · Japan AI Guidelines Security + Adversarial Attack Protection + Prompt Injection + Data Poisoning + Model Extraction + Membership Inference + AISI Red-Team + MLSecOps + Supply Chain Security + Foundation Model Vulnerabilities →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) →Adhere to OECD 2024 Update security + model and data protection + IP + environmental sustainability. Security including model and data protection must (a) protect AI models against extraction + theft + tampering + with model signing + cryptographic protection...
OECDAI24-6 · Security, Model and Data Protection, Intellectual Property, and Environmental Sustainability →Questions people ask about ai security
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See how AI Security applies across compliance frameworks
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