Secure Software Development: Principles, Design, And Gen-Ai

Learn to Build Secure Applications, Debug and Mitigate Cyber Threats with Real-World Case Studies & AI-Driven Techniques

What you'll learn

Key principles for secure programming to build robust applications.

Defensive and security-by-design strategies for safer software systems.

Reverse engineering and debugging techniques tailored for generative AI.

Practical lessons from real-world case studies like the XZ Backdoor incident.

Requirements

Familiarity with software development lifecycle concepts.

A curious mindset to learn advanced security and AI-driven debugging.

A computer with internet access for hands-on activities and quizzes.

Basic programming knowledge in any language (e.g., Python, Java, C++).

Description

Did you know that 71% of organizations have Security Debt - according to the Veracode's State of Software Security 2024 report? Are you ready to master the art of secure software development and thrive in the tech landscape?This interactive comprehensive course takes you on a journey through modern security practices, defensive design principles, and cutting-edge AI debugging techniques.Learn how to safeguard your applications by understanding essential principles for secure programming, implementing defensive design, and embracing memory-safe programming practices. Dive into real-world case studies, including the XZ Backdoor attack and the Log4j zero-day vulnerability, to uncover actionable lessons and strategies.You’ll also explore the intersection of generative AI and security, reverse engineering, and the nuances of AI bias, accuracy, and security. With hands-on quizzes, practical tips, and case studies, you’ll gain the tools to apply these concepts effectively.Discover how to debug generative AI models and future-proof your software using the latest methods and technologies.By the end of this course, you’ll have the expertise to build secure systems, debug complex issues, and protect your applications from emerging threats.Whether you're a developer or security professional, this course equips you with invaluable skills to excel in the field of secure software development. I designed it to transform the way you approach software security and design.

Overview

Section 1: Introduction

Lecture 1 About Me

Section 2: How to Build Secure Applications

Lecture 2 The State of Software Security

Lecture 3 15 Principles for Secure Programming

Section 3: Defensive Design & Security By Design

Lecture 4 Defensive Design: Essential for AI Systems Safety

Lecture 5 Security By Design: Secure Software with Memory-Safe Programming

Lecture 6 Final Thought: Defensive Design & Security By Design

Section 4: Security and Compliance

Lecture 7 Introduction (Security)

Lecture 8 The XZ Backdoor Preparation and Execution

Lecture 9 A Narrow Escape from a Major Cyber Attack

Lecture 10 Lessons to Learn From the XZ Backdoor

Lecture 11 Final Thought (XZ Backdoor)

Section 5: Reverse Engineering & Debugging in the GenAI Era

Lecture 12 Introduction (Reverse Engineering & Debugging in the GenAI Era)

Lecture 13 The Software Team of the Future

Lecture 14 Debugging & Reverse Engineering in the GenAI Era

Lecture 15 How to Debug a Generative AI Model?

Lecture 16 5 Must-Know Reverse Engineering & Debugging Techniques

Lecture 17 Case Study: Andres Freund’s Methodical Approach in Exposing the XZ Backdoor

Lecture 18 Final Thought (Reverse Engineering & Debugging in the GenAI Era)

Section 6: Technical Debts and Legacy Systems

Lecture 19 If It Ain't Broke, Don't Fix It

Section 7: AI Bias, Accuracy, and Security

Lecture 20 How AI Bias Shapes Your Future: A Real-world Story

Software developers looking to enhance their application security skills.,IT professionals responsible for cybersecurity and compliance.,Enthusiasts eager to explore AI debugging and secure system design.,Students or beginners who want to future-proof their programming expertise.