Securing Genai Systems With Best Practice Frameworks

Learn How To Secure Your GenAI Applications with best practise frameworks and case studies

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

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 LearnFundamental 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 OutlineWhat 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 CourseThis course is designed for professionals seeking to secure Generative AI systems, including:AI EngineersCybersecurity SpecialistsCloud ArchitectsIT and Risk ManagersEnthusiasts aiming to explore the intersection of AI and cybersecurityPrerequisitesA basic understanding of AI and cybersecurity concepts is recommended but not mandatory.InstructorTaimur 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!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What Is Generative AI

Section 2: Generative AI Use Cases

Lecture 3 Uses Cases For GenAI - Part 1

Lecture 4 Use Cases For GenAI - Part 2

Section 3: Generative AI Security

Lecture 5 GenAI Security Risks - An Overview

Lecture 6 Pitfalls When Securing GenAI

Lecture 7 Securing GenAI - The Right Approach

Section 4: Generative AI Security Frameworks

Lecture 8 MITRE ATLAS - Part 1

Lecture 9 MITRE ATLAS - Part 2

Lecture 10 OWASP Top 10 - Part 1

Lecture 11 OWASP Top 10 - Part 2

Lecture 12 AWS Generative AI Security Scoping Matrix - Part 1

Lecture 13 AWS Generative AI Security Scoping Matrix - Part 2

Lecture 14 AWS Generative AI Security Scoping Matrix - Part 3

Lecture 15 AWS Generative AI Security Scoping Matrix - Part 4

Lecture 16 Google SAIF - Part 1

Lecture 17 Google SAIF - Part 2

Section 5: Generative AI Security Tools

Lecture 18 Securing GenAI - Tools of the Trade

Section 6: The Way Forward

Lecture 19 Creating Your Own Framework

Lecture 20 Next Steps

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