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ETSI TS 104 223: Baseline Cybersecurity Requirements for AI Models and Systems
webAn official ETSI technical standard relevant to AI safety practitioners and policymakers; provides concrete normative cybersecurity requirements that may inform regulatory compliance and AI deployment best practices in Europe and internationally.
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Importance: 52/100standardreference
Summary
ETSI TS 104 223 is a formal technical standard published in April 2025 that establishes baseline cybersecurity requirements for AI models and systems. It organizes security guidance around principles covering secure design, secure development, and related practices including threat awareness, risk management, and human oversight. The standard provides normative provisions aimed at professionals implementing AI systems across the full AI lifecycle.
Key Points
- •Establishes formal baseline cybersecurity requirements for AI models and systems under ETSI's Securing Artificial Intelligence (SAI) work program.
- •Organized around security principles covering secure design (threat awareness, security-by-design, risk management, human responsibility) and secure development.
- •Provides normative guidance intended for practitioners deploying AI systems, emphasizing accountability and human oversight mechanisms.
- •Published April 2025, reflecting growing regulatory and standards-body attention to AI-specific security requirements.
- •Complements broader AI governance frameworks by operationalizing security practices at the technical implementation level.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI Standards Development | Concept | 69.0 |
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ETSI TS 104 223 V1.1.1 (2025-04)
Securing Artificial Intelligence (SAI);
Baseline Cyber Security Requirements for
AI Models and Systems
TECHNICAL SPECIFICATION
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ETSI
ETSI TS 104 223 V1.1.1 (2025-04) 2
Reference
DTS/SAI-0014
Keywords
artificial intelligence, security
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