ETSI TS 104 223 V1.1.1 (2025-04)

Securing Artificial Intelligence (SAI); Baseline Cyber Security Requirements for AI Models and Systems

DTS/SAI-0014

General Information

• Status: Not Published
• Technical Committee: SAI - Securing Artificial Intelligence TC
• Current Stage: 12 - Citation in the OJ (auto-insert)
• Due Date: 03-May-2025
• Completion Date: 15-Apr-2025

Standards Content (Sample)

TECHNICAL SPECIFICATION
Securing Artificial Intelligence (SAI);
Baseline Cyber Security Requirements for
AI Models and Systems
2 ETSI TS 104 223 V1.1.1 (2025-04)

Reference
DTS/SAI-0014
Keywords
artificial intelligence, security
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3 ETSI TS 104 223 V1.1.1 (2025-04)
Contents
Intellectual Property Rights . 4
Foreword . 4
Modal verbs terminology . 4
Introduction . 4
1 Scope . 5
2 References . 5
2.1 Normative references . 5
2.2 Informative references . 6
3 Definition of terms, symbols and abbreviations . 6
3.1 Terms . 6
3.2 Symbols . 7
3.3 Abbreviations . 7
4 Audience . 8
5 AI Security Principles and Provisions . 9
5.1 Secure Design . 9
5.1.1 Principle 1: Raise awareness of AI security threats and risks . 9
5.1.2 Principle 2: Design the AI system for security as well as functionality and performance . 9
5.1.3 Principle 3: Evaluate the threats and manage the risks to the AI system . 10
5.1.4 Principle 4: Enable human responsibility for AI systems . 10
5.2 Secure Development. 11
5.2.1 Principle 5: Identify, track and protect the assets . 11
5.2.2 Principle 6: Secure the infrastructure . 11
5.2.3 Principle 7: Secure the supply chain . 12
5.2.4 Principle 8: Document data, models and prompts . 12
5.2.5 Principle 9: Conduct appropriate testing and evaluation . 12
5.3 Secure Deployment . 13
5.3.1 Principle 10: Communication and processes associated with End-users and Affected Entities . 13
5.4 Secure Maintenance . 13
5.4.1 Principle 11: Maintain regular security updates, patches and mitigations . 13
5.4.2 Principle 12: Monitor the system's behaviour . 14
5.5 Secure End of Life . 14
5.5.1 Principle 13: Ensure proper data and model disposal . 14
History . 15

ETSI
4 ETSI TS 104 223 V1.1.1 (2025-04)
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Foreword
This Technical Specification (TS) has been produced by ETSI Technical Committee Securing Artificial Intelligence
(SAI).
Modal verbs terminology
In the present document "shall", "shall not", "should", "should not", "may", "need not", "will", "will not", "can" and
"cannot" are to be interpreted as described in clause 3.2 of the ETSI Drafting Rules (Verbal forms for the expression of
provisions).
"must" and "must not" are NOT allowed in ETSI deliverables except when used in direct citation.
Introduction
Artificial Intelligence (AI) is transforming our daily lives. As the technology continues to evolve and be embedded in
people's lives, it is crucial that efforts are taken to protect AI systems from growing cyber security threats. Special focus
on the cybersecurity of Artificial Intelligence (AI) is important due to its distinct differences compared to traditional
software. These characteristics include security risks such as data poisoning, model obfuscation, indirect prompt
injection and operational differences associated with data management.
The present document utilizes existing good practice in the AI and cyber security landscape alongside novel measures
to provide a set of targeted high-level principles and provisions at each stage of the AI lifecycle. The objective of the
present document is to provide stakeholders in the AI supply chain with clear baseline security requirements to help
protect AI systems.
Information on the AI lifecycle and implementation examples are given in ETSI TR 104 128 [i.1].
ETSI
5 ETSI TS 104 223 V1.1.1 (2025-04)
1 Scope
The present document defines baseline security requirements for AI models and systems. This includes systems that
incorporate deep neural networks, such as generative AI. For consistency, the term "AI systems" throughout the present
document when framing the scope of provisions and "AI security" which is considered a subset of cyber security. The
present document is not designed for academics who are creating and testing AI systems only for research purposes
(AI systems which are not going to be deployed).
The present document separates principles and requirements into five phases. These are secure design, secure
development, secure deployment, secure maintenance and secure end of life. Relevant standards and publications are
signposted at the start of each principle to highlight links between the various documents and the present document.
This is not an exhaustive list.
NOTE: The principles can also be mapped to the life cycle stages described in ISO/IEC 22989 [i.3]. The secure
design and development principles can be applied during the Design and development life cycle stage.
Similarly, the secure deployment principles can be applied during the Deployment stage, secure
maintenance to the Operations and monitoring stage and secure end of life during the Retirement stage.
2 References
2.1 Normative references
References are either specific (identified by date of publication and/or edition number or version number) or
non-specific. For specific references, only the cited version applies. For non-specific references, the latest version of the
referenced document (including any amendments) applies.
Referenced documents which are not found to be publicly available in the expected location might be found in the
ETSI docbox.
NOTE: While any hyperlinks included in this clause were valid at the time of publication, ETSI cannot guarantee
their long term validity.
The following referenced documents are necessary for the application of the present document.
[1] ISO/IEC 27001:2022: "Information security, cybersecurity and privacy protection — Information
security management systems — Requirements".
[2] CISA: "Software Bill of Materials (SBOM)".
[3] NIST: "AI Risk Management Framework: Second Draft", 2022.
[4] NIST AI 100-1: "AI Risk Management Framework 1.0", 2023.
[5] Australian Signals Directorate: "An introduction to Artificial Intelligence", 2023.
[6] World Economic Forum, IBM: "Presidio AI Framework: Towards Safe Generative AI Models",
2024.
[7] OWASP: "OWASP AI Exchange".
[8] MITRE ATLAS™: "Mitigations". ®
[9] Google : "Secure AI Approach Framework: A quick guide to implementing the Secure AI
Framework (SAIF)", 2023.
[10] ELSA: "ELSA - Europe
...