The Secure AI Framework (SAIF), developed by Google, is a comprehensive set of guidelines and best practices aimed at ensuring the security, privacy, and integrity of artificial intelligence (AI) systems throughout their lifecycle. SAIF addresses key risks unique to AI, such as model theft, data poisoning, prompt injection attacks, and the extraction of confidential information from training data. The framework is structured around core elements that include expanding strong security foundations to the AI ecosystem, extending detection and response capabilities to AI-related threats, automating defenses to keep pace with evolving risks, and integrating security controls across platforms and organizational processes. By embedding these practices, SAIF helps organizations implement AI models that are secure by default, resilient to emerging threats, and compliant with privacy and regulatory requirements, supporting responsible and trustworthy AI deployment across industries.
Publication's URL
URL: https://www.saif.google/secure-ai-frameworkPublication's scorecard
Country: INT
Scope: Cyber
Typology: Guidelines
Publication's date: July 1, 2023
Category: Data Protection & AI
Sector: Cross-Sector
Rating:
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