Expert course
Securing GenAI Systems With Best Practice Frameworks - 2026
Learn How To Secure Your GenAI Applications with best practise frameworks and case studies
Expert
Course facts
- Last updated 05/2026
- English English [Auto], Italian [Auto] , 1 more
- Instructor: Taimur Ijlal | Award winning cybersecurity leader and instructor
- AI security, privacy and responsible guardrails
What you'll learn
Practical outcomes
- Generative AI Security
- GenAI Security Frameworks
- MITRE ATLAS Framework
- AWS Generative AI Security Scoping Matrix
- Google SAIF
- OWASP Top 10 For LLM
Curriculum
6 sections • 20 lectures • 2h 42m total length
Introduction2 lectures • 18min
- Introduction10:19
- What Is Generative AI07:48
Generative AI Use Cases2 lectures • 20min
Lecture details are available inside DoJo.
Generative AI Security3 lectures • 25min
Lecture details are available inside DoJo.
Generative AI Security Frameworks10 lectures • 1hr 20min
Lecture details are available inside DoJo.
Generative AI Security Tools1 lecture • 10min
Lecture details are available inside DoJo.
The Way Forward2 lectures • 10min
Lecture details are available inside DoJo.
Who it is for
- Cybersecurity professionals
- Security Architects
- GenAI Professionals
- CISOs , CTOs and CROs
- GRC Professionals
- Data Scientists
- Software Engineers
- AI and ML Engineers
Course description
Overview
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 | Award winning cybersecurity leader and instructor
Taimur Ijlal | Award winning cybersecurity leader and instructor Cloud Security executive | Professional speaker and trainer A multi-award winning, information security leader with over 20+ years of international experience in cyber-security and IT risk management in the fin-tech industry. Winner of major industry awards such as CISO of the year, CISO top 30, CISO top 50 and Most Outstanding Security team. Taimur's courses on Cybersecurity and AI have thousands of students from all over the world. He has also been published in leading publications like ISACA journal, CIO Magazine Middle East and published two books on AI Security and Cloud Computing ( ranked #1 new release on Amazon )
