1、Secure AI FrameworkApproachA quick guide to implementingthe Secure AI Framework(SAIF)Table of contentsIntro2Pu?ing SAIF into practice3Step 1-Understand the use3Step 2-Assemble the team3Step 3-Level set with an AI primer4Step 4-Apply the six core elements of SAIF4Expand strong security foundations to

2、 the AI ecosystem4Extend detection and response to bring AI into an organizations threat universe6Automate defenses to keep pace with existing and new threats7Harmonize pla?orm level controls to ensure consistent security across the organization7Adapt controls to adjust mitigations and create faster

3、 feedback loops for AI deployment8Contextualize AI system risks in surrounding business processes9Conclusion111IntroSecure AI Framework(SAIF)is a conceptual framework for secure a?i?cial intelligence(AI)systems.It is inspired by security best practices like reviewing,testing and controlling the supp

4、lychain that Google has applied to so?ware development,while incorporating our understandingof security mega-trends and risks speci?c to AI systems.SAIF o?ers a practical approach toaddress the concerns that are top of mind for security and risk professionals,such as:Securitya)Access managementb)Net

5、work/endpoint securityc)Application/product securityd)Supply chain a?ackse)Data securityf)AI speci?c threatsg)Threat detection and responseAI/ML model risk managementa)Model transparency and accountabilityb)Error-prone manual reviews for detecting anomaliesc)Data poisoningd)Data lineage,retention an

6、d governance controlsPrivacy and compliancea)Data privacy and usage of sensitive datab)Emerging regulationsPeople and organizationa)Talent gapb)Governance/Board reportingThis quick guide is intended to provide high level practical considerations on how organizationscould go about building the SAIF a