Application Security: Deep Dive

From awareness to professional maturity

Where Application Security Fundamentals teaches you to identify vulnerabilities, this Deep Dive goes a step further. You’ll learn how to integrate security into your development process, analyze code from a security perspective, and assess the risks posed by emerging AI tools.

Security doesn’t belong only at the final testing phase; it should be present in every step of development. In this training, you’ll explore how to apply security by design and how to prevent weak spots in your code through the right tools and mindset.

This training is developed by Betabit specialists who work daily on secure, business-critical software in Azure. Expect an intensive session full of hands-on practice, real-world examples, and direct applicability in your own work environment.

What you’ll learn

After a short introduction, you’ll get hands-on with demos, exercises, and practical assignments.

This dynamic, hands-on training focuses on identifying and analyzing vulnerabilities in realistic applications. You’ll work with two different codebases:

• A C# backend with Vue.js frontend
• A JavaScript Express.js application

By actively working in these environments, you will discover how vulnerabilities arise, how to recognize them, and how to prevent them effectively. You will also learn how to structurally integrate security into your development processes, including:

• Security code analysis
  • Analyze multiple codebases (C#, TypeScript, and Infrastructure as Code)
  • Identify dozens of security issues and flaws in existing code
  • Understand what goes wrong, how to prevent it, and how to defend against it
• Secure Software Development Life Cycle (SSDLC)
  • Learn how to embed security into every phase of development
  • Add extra checks and steps to your daily development cycle
  • Understand how SSDLC helps you build safer software
• Security Testing
  • Overview of different security tests: SAST, IAST, and DAST
  • When to use each method and with which tools
• Security and AI
  • Explore the risks of AI tools like ChatGPT and GitHub Copilot
  • Understand the implications for privacy, data integrity, and automation bias
• Threat modeling and STRIDE
  • Get familiar with the STRIDE model for systematic risk analysis
  • Map out potential threats and define appropriate mitigations
  • Connect threat modeling to concrete development decisions

Security-first throughout the software lifecycle

After this training, you’ll have the knowledge and experience to integrate security into all your development activities. You’ll recognize risks early, apply the right testing methods, and strengthen your code with proven best practices – making security not an afterthought, but a core quality of your software.