The European Standards Institute has released ETSI EN 304 223, a comprehensive guideline for securing AI systems throughout their lifecycle. This standard emphasizes AI-specific risks and provides a structured approach for cybersecurity measures applicable across industries. #ETSI #AIsecurity #AIlifecycle
Keypoints
- ETSI EN 304 223 establishes cybersecurity requirements for AI models and systems intended for real-world deployment.
- The standard considers AI as a unique technology category with specific security risks like data poisoning and prompt injection.
- It defines 13 principles across five AI lifecycle phases: design, development, deployment, maintenance, and end-of-life.
- The scope includes AI systems based on deep neural networks, including generative AI used in operational environments.
- International collaboration and expert input ensure the standard’s applicability across various industries and AI deployment contexts.
Read More: https://www.helpnetsecurity.com/2026/01/19/etsi-european-standard-ai-security/