Google Secure AI Framework (SAIF): GRC-Leitfaden

Google Secure AI Framework (SAIF): GRC‑Leitfaden – Standarity German
Free Udemy course – Updated July 2026

The Google Secure AI Framework (SAIF): GRC‑Leitfaden taught by Standarity German delivers a hands‑on, board‑ready program for securing AI systems without requiring deep ML‑engineering skills. This free Udemy course answers the most common searches—free AI governance course, SAIF Udemy course, and learn AI risk management online—by covering the six core SAIF elements, the full set of 15 AI risks, and practical mapping to NIST, ISO 42001, OWASP LLM Top 10 and MITRE ATLAS. Learners finish with a complete risk‑assessment, mitigation matrix, 90‑day roadmap, and executive briefing, making the training valuable for both technical and compliance teams.

---

What You'll Learn

• Build a board‑level AI risk‑management program using Google’s Secure AI Framework (SAIF).
• Master the six core SAIF elements and their sequential implementation for real‑world AI deployments.
• Learn to read and interpret the SAIF risk map across data, infrastructure, model, and application layers.
• Understand all 15 SAIF risks— from data poisoning to prompt injection— and rank them by business impact.
• Create a measures‑risk matrix that aligns each SAIF mitigation with organizational controls.
• Implement SAIF 2.0 safeguards for AI agents, including human oversight, least‑privilege rights, and observability.
• Apply a self‑assessment workflow to generate a 90‑day remediation roadmap and governance RACI model.
• Analyze how to map SAIF to NIST AI RMF, ISO IEC 42001, OWASP LLM Top 10, and MITRE ATLAS for compliance reporting.

---

Course Details

• Instructor: Standarity German
• Language: German (de‑DE)
• Enrolled students: 372
• Last updated: July 2026
• Certificate: Yes, upon completion
• Includes:
  • Lifetime access to all video lessons and resources
  • Quizzes at the end of each chapter for knowledge checks
  • Hands‑on assignments and a capstone project delivering a full SAIF assessment

---

What This Course Covers

Grundlagen von SAIF

• Überblick über die sechs Kernelemente von SAIF und ihre Reihenfolge
• Definition der SAIF‑Risikokarte und ihre vier Komponenten (Daten, Infrastruktur, Modell, Anwendung)
• Einführung in das regulierte Unternehmensszenario Meridian als Lernumgebung

SAIF‑Risikokarte im Detail

• Analyse der Daten‑Risiken: Datenvergiftung und unzureichende Datenqualität
• Bewertung von Infrastruktur‑Risiken: ungesicherte Cloud‑Umgebungen und Netzwerkexposition
• Modell‑Risiken: Modellexfiltration, Over‑fitting und unerwartete Verhaltensweisen
• Anwendungs‑Risiken: Prompt‑Injection, Offenlegung sensibler Informationen, unkontrollierte Aktionen

Risiken und Gegenmaßnahmen

• Detaillierte Durchsprache aller 15 SAIF‑Risiken mit Praxisbeispielen
• Auswahl geeigneter Gegenmaßnahmen und Zuordnung zu einer Maßnahmen‑Risiko‑Matrix
• Erstellung eines Risiko‑Selbstbewertungs‑Workbooks für das eigene Unternehmen

SAIF 2.0 für KI‑Agenten

• Sicherung von KI‑Agenten durch menschliche Aufsicht und Monitoring
• Implementierung minimaler Rechte (Least‑Privilege) für Agenten‑Interaktionen
• Aufbau von Beobachtbarkeit und Audit‑Logs für agentische Workflows

Operationalisierung & Governance

• Durchführung einer SAIF‑Selbstbewertung und Ableitung einer 90‑Tage‑Roadmap
• Aufbau von Governance‑Strukturen: RACI‑Modell, CoSAI‑Prozesse und Reporting‑Templates
• Erstellung eines Vorstandsmemos in SAIF‑Sprache zur Kommunikation von KI‑Risiken

Mapping auf Standards & Abschlussprojekt

• Abbildung von SAIF auf NIST AI RMF, ISO IEC 42001, OWASP LLM Top 10 und MITRE ATLAS
• Integration von Compliance‑Checklisten und Audit‑Kriterien
• Abschlussprojekt: Vollständige SAIF‑Beurteilung, Maßnahmenplan, Roadmap und Vorstandspräsentation

---

Who Should Take This Course

• CISOs and security leaders who must build an AI‑security program from scratch
• Security engineers and architects tasked with protecting AI pipelines and autonomous agents
• KI‑Risk, compliance, and audit professionals looking to adopt a structured framework
• GRC specialists needing a board‑ready approach for AI‑risk communication
• Managers of regulated industries (e.g., digital banking) that plan to deploy generative AI assistants

---

Prerequisites

• No prior experience with machine‑learning engineering required – the course is beginner‑friendly for security and compliance roles.
• Basic understanding of IT security concepts (e.g., confidentiality, integrity, availability) is helpful but not mandatory.
• Familiarity with corporate governance and risk‑management terminology is recommended for faster progress.

---

Why Enroll in This Course

Enrolling gives you immediate access to a practical, board‑level AI risk framework without any cost. A free coupon provides 100 % off for a limited time, and the discount expires soon, so act before the offer ends. Compared with generic AI‑security tutorials, this SAIF course delivers a complete methodology, real‑world case study, and a ready‑to‑use executive briefing that other Udemy courses rarely include.

---

Course Highlights

• Lifetime access to all video lessons, quizzes, and downloadable resources.
• Self‑paced learning allows you to fit the material into any schedule.
• Certificate of completion that can be added to LinkedIn or a professional portfolio.
• Hands‑on assignments and a capstone project that produce tangible deliverables.
• Mapping to global standards (NIST, ISO 42001, OWASP, MITRE) ensures compliance readiness.
• Board‑ready reporting templates let you communicate AI risk in executive language.

---

Frequently Asked Questions

Q: Is this course really free?
A: Yes. Udemy currently offers a 100 % discount coupon for the Google Secure AI Framework (SAIF) course, making it completely free for a limited period. The enrollment process does not require any payment.

Q: What will I learn in this SAIF course?
A: You will learn to apply the six core SAIF elements, read the SAIF risk map, diagnose all 15 AI risks, build a mitigation matrix, secure AI agents with SAIF 2.0, conduct a self‑assessment, create a 90‑day remediation roadmap, and map the framework to major