What you'll learn:
- Apply robust input validation and secure business logic practices
- Protect sensitive data and secrets at rest and in transit
- Build, test, and deploy applications securely
- Apply role-based and claims-based authorization to protect APIs and web applications from unauthorized access.
- Use data annotations, custom validators, and sanitization to prevent SQL injection, XSS, and insecure deserialization attacks.
- Encrypt data using .NET cryptography APIs and enforce TLS for secure communications.
- Use static code analysis, dependency vulnerability scanning, and secure CI/CD practices.
Welcome to Secure Code in C# & .NET, your comprehensive guide to building secure, compliant, and resilient software in the Microsoft .NET ecosystem. This course takes you far beyond theory—every module combines hands-on coding labs, real-world attack simulations, and AI-assisted security workflows using GitHub Copilot and modern .NET features.
Whether you’re developing enterprise APIs, web apps, microservices, or cloud-hosted applications, this course will teach you how to think like an attacker and code like a security engineer.
What You’ll Learn
1. Foundations of Secure Software Development
Understand the Secure Software Development Lifecycle (SSDLC) and threat modeling in C#.
Apply OWASP Top 10 principles directly to .NET codebases.
2. Secure Authentication and Authorization
Implement secure login flows using .NET Identity, JWT tokens, OAuth 2.1, and OpenID Connect.
Enforce multi-factor authentication (MFA) and role-based access control (RBAC).
Prevent broken access control and privilege escalation using horizontal and vertical access policies.
3. Secret Management and Configuration Security
Safely store and access application secrets
Avoid secret leaks in GitHub and CI/CD pipelines.
Automate configuration protection in local, staging, and production environments.
4. Data Security and Compliance
Protect data at rest and in transit with AES encryption, TLS, and Transparent Data Encryption (TDE).
Implement GDPR, CCPA, and HIPAA compliance practices.
Prevent excessive data exposure and ensure logging without leaking PII.
5. User Input Validation & Injection Prevention
Master validation and sanitization using Data Annotations, custom validation attributes, and schema validation.
Block SQL injection, command injection, and XSS attacks.
Implement allowlists, regular expressions, and secure deserialization patterns.
7. Secure Build and Deployment Pipelines
Configure secure build processes with GitHub Actions, Azure DevOps, and Docker.
Perform dependency checks, supply chain validation, and code signing.
Apply the principle of least privilege in hosting environments and infrastructure.
8. Secure AI-Assisted Development with GitHub Copilot
Configure Copilot for secure coding—block public code matches and filter unsafe suggestions.
Use Copilot Chat and Agent Mode to find, fix, and prevent vulnerabilities.
Integrate AI code reviews and Copilot Business features for enterprise-level assurance.
Technologies and Tools Covered
.NET, C#, Identity
Entity Framework Core, Azure Key Vault, GitHub Copilot
JWT, OAuth2, OpenID Connect, MFA
Security Code Scan, OWASP Dependency Check, DPAPI
Visual Studio, GitHub Actions, Azure DevOps
Why Take This Course
Because secure code is no longer optional. From data breaches to AI-generated code vulnerabilities, modern developers must learn to integrate security, compliance, and automation into every line of C# they write. By the end of this course, you’ll not only write secure, production-ready code, but you’ll also know how to use AI tools like GitHub Copilot to prevent vulnerabilities before they ship.
Master the art of writing Secure Code in C# & .NET — powered by AI, protected by best practices, and built for the future.
