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ETSI Technical Committee on Securing Artificial Intelligence (TC SAI)
webETSI TC SAI is a key international standards body for AI security; its specifications are relevant to AI governance discussions and technical safety practitioners concerned with deployment-time robustness and regulatory compliance.
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Summary
ETSI's Technical Committee on Securing Artificial Intelligence (TC SAI) develops global standards to address AI security threats, including adversarial attacks, data poisoning, and model vulnerabilities. The committee produces technical specifications and reports covering AI threat landscapes, mitigation techniques, and evaluation methodologies for AI system security. It represents a key international standardization effort bridging AI safety concerns with formal industry standards.
Key Points
- •TC SAI produces technical standards addressing security threats specific to AI systems, including adversarial ML attacks and data integrity issues.
- •Work covers threat ontologies, mitigation techniques, and testing frameworks for evaluating AI system robustness and security.
- •Standards are developed with global applicability, informing regulatory and industry compliance frameworks for AI deployment.
- •Committee addresses both threats TO AI systems (attacks on models) and threats FROM AI systems (misuse of AI capabilities).
- •Outputs include ETSI Group Specifications (GS) and Reports (GR) that can feed into policy and procurement requirements.
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Introduction
The rapid expansion of Artificial Intelligence into new industries with new stakeholders, coupled with an evolving threat landscape and huge growth in AI, presents tough challenges for security. The TC SAI creates high quality technical standards to combat these challenges.
Artificial Intelligence impacts our lives every day, from local AI systems on mobile phones suggesting the next word in our sentences to large manufacturers using AI to improve industrial processes. AI has the potential to revolutionize our interactions with technology, improve our quality of life and enrich security – but without high quality technical standards and good practices, AI has the potential to create new attacks and worsen existing security measures.
The ETSI Technical Committee on Securing Artificial Intelligence (TC SAI) has a key role to play in improving the security of AI through production of high-quality technical standards; the TC SAI will create standards to preserve and improve the security of new AI technologies.
Role & Activities
TC SAI addresses 4 main aspects of AI security standardisation:
1. Securing AI from attack e.g. where AI is a component in the system that needs defending.
2. Mitigating against AI e.g. where AI is the 'problem' (or used to improve and enhance other more conventional attack vectors).
3. Using AI to enhance security measures against attack from other things e.g. AI is part of the ‘solution’ (or used to improve and enhance more conventional countermeasures).
4. Societal security and safety aspects of the use and application of AI.
The ETSI TC SAI develops the technical knowledge that acts as a baseline in ensuring that artificial intelligence is secure. Stakeholders impacted by the activity of ETSI’s group include end users, manufacturers, operators and governments.
Standards
A full list of related standards in the public domain is accessible via the TC SAI committee page .
Future work
Although the phrase was coined in the 1950s, practical AI systems have only really been implemented in recent years, driven by:
Evolution of advanced AI techniques including neural networks, deep learning
Availability of significant data sets to enable robust training
Advances in high performance computing enabling highly performing devices and the availability of hyperscale performance through cloud services
These new techniques and capabilities, together with the availability of data and compute resources, mean that AI systems will only become more prevalent. However, this results in a series of challenges both old and new. See below for a list of potential future topics for the TC SAI.
Data security, integrity and privacy
Training data: quality, quan
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