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Securing GenAI Systems With Best Practice Frameworks - 2026
Role Play
Rating: 4.5 out of 5(414 ratings)
1,103 students

Securing GenAI Systems With Best Practice Frameworks - 2026

Learn How To Secure Your GenAI Applications with best practise frameworks and case studies
Last updated 5/2026
English

What you'll learn

  • Generative AI Security
  • GenAI Security Frameworks
  • MITRE ATLAS Framework
  • AWS Generative AI Security Scoping Matrix
  • Google SAIF
  • OWASP Top 10 For LLM

Course content

6 sections20 lectures2h 42m total length
  • Introduction10:19
  • What Is Generative AI7:48

Requirements

  • Basic knowledge of GenAI
  • Basic knowledge of Cybersecurity
  • Desire to learn !

Description

Generative AI is revolutionizing industries with its ability to simulate creativity and transform content generation. As powerful tools like ChatGPT and Bard become integral to various applications, securing these systems has never been more critical. The "Securing GenAI Systems with Best Practice Frameworks" course provides a comprehensive guide to understanding, assessing, and implementing robust security measures for Generative AI systems.

This course explores key frameworks and methodologies, including Google SAIF and AWS Generative AI Scoping Matrix, empowering you to secure GenAI applications effectively.

What You Will Learn

  • Fundamental principles and best practices for securing GenAI systems.

  • Insights into common pitfalls in Generative AI security and strategies to avoid them.

  • A deep dive into security frameworks like Google SAIF and AWS Generative AI Scoping Matrix.

  • Implementation of security controls tailored for GenAI applications.

Course Outline

  • What is Generative AI, and why does security matter?

  • Understanding risks like model vulnerabilities and ethical concerns.

  • Real-life examples of risks affecting industries.

  • Overview of Google SAIF and AWS Generative AI Scoping Matrix.

  • Implementing security controls aligned with cloud vendor guidelines.

  • Challenges in securing Generative AI applications.

  • Practical strategies to overcome common issues.

Who Should Take This Course

This course is designed for professionals seeking to secure Generative AI systems, including:

  • AI Engineers

  • Cybersecurity Specialists

  • Cloud Architects

  • IT and Risk Managers

  • Enthusiasts aiming to explore the intersection of AI and cybersecurity

Prerequisites

A basic understanding of AI and cybersecurity concepts is recommended but not mandatory.

Instructor

Taimur Ijlal, a multi-award-winning cybersecurity leader with over 20 years of experience, brings unparalleled expertise to this course. Recognized as a thought leader in AI and cloud security, Taimur’s work has been featured in leading publications, and his books have ranked as #1 new releases on Amazon. With thousands of students worldwide, his courses are designed to empower professionals with practical knowledge and skills.

Join this course to gain the confidence and tools to secure GenAI systems effectively!

Who this course is for:

  • Cybersecurity professionals
  • Security Architects
  • GenAI Professionals
  • CISOs , CTOs and CROs
  • GRC Professionals
  • Data Scientists
  • Software Engineers
  • AI and ML Engineers