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
https://www.saif.google/secure-ai-frameworkAdditional documents on this topic
- OWASP Practical Guide for Secure MCP Server Development
- NIST IR 8596 Cybersecurity Framework Profile for Artificial Intelligence (Cyber AI Profile): NIST Community Profile ★★★★★
- ETSI EN 304 223: Securing Artificial Intelligence (SAI) – Baseline Cyber Security Requirements for AI Models and Systems
- CSA Data Security within AI Environments
- CISA Principles for the Secure Integration of Artificial Intelligence in Operational Technology