CISA and NCSC's Take on Secure AI Development
Blog post from Endor Labs
Artificial intelligence (AI) is increasingly being discussed for its potential applications and the risks associated with its integration into digital ecosystems without adequate security and privacy measures. To address these challenges, organizations and governments are developing guidelines, such as the "Guidelines for Secure AI System Development" released by the U.S. Cybersecurity Infrastructure Security Agency (CISA) and the U.K.'s National Cyber Security Centre (NCSC). This publication highlights the unique aspects of AI security, including novel vulnerabilities like adversarial machine learning and the shared responsibility model between AI providers and users. It offers tactical recommendations for secure AI design, development, deployment, and operations, stressing the importance of practices like threat modeling, supply chain security, and continuous monitoring. By incorporating principles such as Secure-by-Design and emphasizing transparency and accountability, the guidance aims to ensure AI systems are developed with security integrated throughout their lifecycle. The guidelines also align with global efforts like the Bletchley Declaration on AI Safety, aiming to balance the benefits of AI with the need to manage its risks effectively.
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