Udemy – Google Secure AI Framework (SAIF): A GRC Guide

Google’s Secure AI Framework (SAIF) is the practitioner’s blueprint for securing AI systems and agents across their lifecycle. This course turns SAIF into something you can actually run inside a security or GRC program — no ML engineering required. Working through a single realistic model organization, Meridian (a regulated digital-banking firm rolling out a customer GenAI assistant and later an agentic workflow), you will move from first principles to a board-ready AI risk program.

What the course covers:

• The six core elements of SAIF and why their order matters
• The SAIF risk map — the four components: Data, Infrastructure, Model, Application
• All 15 SAIF risks — from data poisoning and model exfiltration to prompt injection, sensitive data disclosure, and rogue actions
• Controls mapped to risks, and how to build a control-to-risk matrix
• SAIF 2.0 — securing AI agents: human oversight, limited powers, observability, and the agent risk map
• Operationalizing SAIF: the risk self-assessment, remediation roadmaps, governance, RACI, and CoSAI
• Mapping SAIF to NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS, plus board and regulator reporting