ANSSI Building Trust in AI Through a Cyber Risk-Based Approach

Please login to Automatic Backlinks and activate this site.The ANSSI document “Building Trust in AI Through a Cyber Risk-Based Approach” provides a comprehensive analysis of the cybersecurity risks associated with AI systems and advocates for a risk-based strategy to foster trusted AI across sectors such as defense, energy, healthcare, and finance. It highlights the unique vulnerabilities of AI, including those arising from large language models and complex data dependencies, and stresses the need for proactive measures to mitigate threats like data poisoning, model extraction, and evasion attacks. The guidance outlines best practices for securing the entire AI supply chain, recommends organizational strategies for risk management, and calls for ongoing collaboration between cybersecurity and AI stakeholders to adapt to evolving threats and regulatory changes. The document also includes practical checklists and recommendations for policy-makers and practitioners to ensure the secure deployment, operation, and continuous monitoring of AI systems

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Issuer: ANSSI
Country: FRA
Scope: Cyber
Typology: Standard
Publication's date: February 7, 2025
Category: Data Protection & AI
Sector: Cross-Sector
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