In cybersecurity for AI systems, normative documents play a critical role in ensuring that artificial intelligence is developed, deployed, and operated securely and responsibly. Standards like ISO/IEC 24029 (AI robustness) and ISO/IEC 5338 (AI security management) provide guidance on risk assessment, model security, and safe deployment practices, while regulatory frameworks such as the EU AI Act impose legal requirements for high-risk AI systems. Agencies like ENISA and NIST also publish guidelines on AI cybersecurity, including adversarial threat mitigation and secure data handling. Following these standards and regulations helps organizations protect AI models from manipulation, preserve data integrity, and ensure compliance with emerging legal and ethical expectations.
ETSI EN 304 223 is a landmark European standard, published in early 2026, that establishes the first globally applicable baseline for securing artificial intelligence models and systems throughout their entire… Read More »ETSI EN 304 223: Securing Artificial Intelligence (SAI) – Baseline Cyber Security Requirements for AI Models and Systems