
Google Güvenli Yapay Zekâ Çerçevesi (SAIF): GRC Rehberi
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Google Güvenli Yapay Zekâ Çerçevesi (SAIF): GRC Rehberi – Dr Amar Massoud (Türkçe)
Udemy | Updated July 2026
The Google Güvenli Yapay Zekâ Çerçevesi (SAIF): GRC Rehberi delivers a hands‑on, board‑ready AI risk program without requiring machine‑learning expertise. This free Udemy course equips CISO‑level leaders, security engineers, and GRC professionals with the practical steps to apply SAIF across data, infrastructure, model, and application layers. Learn how to diagnose all 15 SAIF risks, build a control‑risk matrix, and map the framework to NIST AI RMF, ISO 42001, OWASP LLM Top 10, and MITRE ATLAS—all in a single, real‑world project.
What You'll Learn
- Build a complete SAIF risk map covering Data, Infrastructure, Model, and Application components.
- Master the identification and prioritization of 15 SAIF risks based on business impact.
- Learn how to select appropriate SAIF controls and align them in a control‑risk matrix.
- Understand SAIF 2.0 safeguards for AI agents, including human oversight, least‑privilege, and observability.
- Create a 90‑day improvement roadmap derived from a SAIF self‑assessment.
- Implement cross‑framework alignment with NIST AI RMF, ISO 42001, OWASP LLM Top 10, and MITRE ATLAS.
- Apply SAIF reporting techniques to communicate AI risk posture to executive boards.
- Develop a full‑scale SAIF deployment for a fictional digital‑banking AI assistant (Meridian) as a capstone project.
Course Details
- Instructor: Dr Amar Massoud
- Language: Turkish (tr‑TR)
- Certificate: Yes, upon completion
- Includes: Lifetime access, mobile‑friendly video lessons, practice exams and hands‑on assignments
What This Course Covers
SAIF Fundamentals
- Overview of the six core SAIF elements and why they matter for AI governance.
- Explanation of the risk hierarchy linking data, infrastructure, model, and application layers.
- Real‑world examples illustrating how each element impacts AI security posture.
Risk Mapping & Diagnosis
- Construction of the SAIF risk map across the four AI lifecycle components.
- Detailed walkthrough of all 15 SAIF risks, from data poisoning to prompt injection.
- Techniques for risk scoring and business‑impact prioritization.
Controls & Control‑Risk Matrix
- Selection criteria for SAIF controls that mitigate identified risks.
- Step‑by‑step creation of a control‑risk matrix linking controls to specific threats.
- Sample control templates ready for immediate adoption in GRC programs.
SAIF 2.0 & AI Agent Protection
- Introduction to SAIF 2.0 enhancements for safeguarding AI agents.
- Implementation of human oversight, least‑privilege access, and observability mechanisms.
- Designing an agent risk map that aligns with organizational policies.
Implementation, Governance & Roadmaps
- Conducting a SAIF self‑assessment to establish baseline risk posture.
- Building a 90‑day improvement roadmap with measurable milestones.
- Defining RACI and CoSAI structures for ongoing AI governance.
Framework Alignment & Reporting
- Mapping SAIF controls to NIST AI RMF, ISO 42001, OWASP LLM Top 10, and MITRE ATLAS.
- Preparing board‑level reports that translate technical risk into executive language.
- Using the Meridian case study to demonstrate end‑to‑end compliance reporting.
Who Should Take This Course
- CISO‑level executives establishing an AI security program.
- Security engineers and architects tasked with protecting AI agents and pipelines.
- GRC specialists who need a practical, standards‑aligned AI risk framework.
- Risk, compliance, and audit professionals seeking a board‑ready AI risk methodology.
- Organizations that must demonstrate AI governance to regulators or customers.
Prerequisites
- No prior machine‑learning or data‑science background required.
- Basic understanding of information security concepts (recommended but not mandatory).
- Familiarity with GRC terminology will help accelerate learning.
Why Enroll in This Course
Enroll now to take advantage of a free coupon that provides 100 % off for a limited time. The course delivers a complete, actionable SAIF implementation guide that you won’t find in generic AI tutorials. By the end of the training, you will have a ready‑to‑use risk program that aligns with global standards and can be presented to senior leadership.
Course Highlights
- Lifetime access to all video lessons, quizzes, and downloadable resources.
- Self‑paced learning that fits busy security and compliance schedules.
- Certificate of completion to showcase AI risk expertise on LinkedIn or resumes.
- Hands‑on capstone project (Meridian) that produces a full SAIF assessment, control plan, and board report.
- Mobile‑friendly platform allowing study on smartphones or tablets.
- Practice exams after each module to reinforce knowledge retention.
Frequently Asked Questions
Q: Is this course really free?
A: Yes. By applying the available Udemy free coupon, you can enroll at 100 % off, giving you full access to all videos, quizzes, and the final project at no cost.
Q: What will I learn in this SAIF AI risk course?
A: You will learn to map AI risks across data, infrastructure, model, and application layers, diagnose all 15 SAIF risks, build a control‑risk matrix, implement SAIF 2.0 safeguards, and align the framework with NIST, ISO, OWASP, and MITRE standards.
Q: Do I get a certificate after completing this course?
A: Yes. Udemy provides a certificate of completion once you finish all lectures, quizzes, and the capstone project, which you can share with employers or professional networks.
Q: Is this course suitable for beginners?
A: Absolutely. The curriculum is designed for security and GRC professionals without requiring machine‑learning expertise, making it ideal for beginners and seasoned practitioners alike.
Q: How long do I have to enroll for free?
A: The free coupon is available for a limited period, so you should claim it as soon as possible. Once enrolled, you retain lifetime access to the material regardless of when the coupon expires.
Final Thoughts
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