Welcome to the Secure Code AI Development Workshop! This hands-on workshop guides you through implementing comprehensive security practices using GitHub Advanced Security, AI-powered tools, and Microsoft Sentinel for modern DevSecOps workflows.
🌐 Official Workshop Website: secure-code-ai.dev
Welcome to the Secure Code AI Development Enterprise Workshop! This repository takes you on a transformative journey from traditional reactive security practices to the world of AI-assisted proactive security development and automated threat response.
As a developer in today's threat-laden environment, you face a critical challenge: most security issues are discovered too late. According to industry studies:
- Traditional security approaches catch vulnerabilities only after deployment
- Late-stage fixes cost 100x more than early detection
- Manual security reviews create bottlenecks and delays
- Reactive patching instead of proactive prevention
This workshop provides hands-on guidance to implement modern security workflows using AI-powered tools. We'll demonstrate how GitHub Copilot, GitHub Advanced Security, and Microsoft Sentinel can transform your security development strategy.
"Security is not about adding gates at the end, but about building resilience from the first line of code with AI-powered intelligence amplifying human expertise."
The workshop is organized into progressive modules, allowing you to choose the depth of coverage based on your time and experience:
| Level | Duration | Focus | Best For |
|---|---|---|---|
| Basic | 4 hours | Core security concepts and GHAS setup | Beginners, quick introductions |
| Intermediate | 8 hours | Complete DevSecOps pipeline | Standard workshops, team training |
| Advanced | 19 hours | Enterprise-scale security implementation | Security practitioners, deep dives |
Module 1: Shift-Left Security Fundamentals
- Foundation concepts and security-first mindset
- The cost of late-stage vulnerability fixes
- DevSecOps culture and practices
Module 2: GitHub Advanced Security (GHAS)
- Code scanning configuration and customization
- Secret detection and prevention strategies
- Dependency management and updates
Module 3: Security Environment Setup
- VS Code security extensions and configuration
- Security tools installation and integration
- Cloud environment security baseline
Module 4: AI-Powered Secure Coding with Copilot
- Security-focused prompt engineering
- AI-assisted vulnerability prevention
- Secure code pattern generation
Module 5: Container Security & DevSecOps
- Container image scanning and hardening
- Kubernetes security implementation
- Microsoft Defender for Containers
Module 6: Agentic AI for Security Automation
- Building autonomous security agents
- Automated incident response workflows
- AI-driven security operations
Module 7: Multi-Cloud Security Strategies
- Cross-cloud security architecture
- Unified policy management
- Multi-cloud compliance automation
Module 8: Microsoft Sentinel Integration
- SIEM/SOAR implementation
- Custom detection rules and playbooks
- Threat hunting with KQL
Module 9: Security Dashboards & Reporting
- Real-time security visualization
- Compliance reporting automation
- Executive security dashboards
Module 10: Advanced Security Patterns
- Zero-trust architecture implementation
- Advanced threat modeling techniques
- Enterprise security at scale
- Common security issues and solutions
- Advanced debugging techniques
- Performance optimization strategies
- Create Azure Free Account
- GitHub account with Advanced Security
- GitHub Copilot (Free tier available)
- Docker Desktop
- Download VS Code
- Development environment: VS Code, Node.js 18+, Git, Python 3.8+
- Basic understanding of cloud services and containers
- Familiarity with CI/CD concepts
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Fork and Clone this Repository
git clone https://github.com/YourUsername/Secure-Code-AI-Dev.git cd Secure-Code-AI-Dev -
Quick Start (30 minutes)
- Follow our Quick Start Guide for immediate hands-on experience
- Complete security environment setup and first vulnerability scan
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Follow the Workshop Structure
- Start with Shift-Left Security Fundamentals
- Progress through modules based on your experience level
- Use the Advanced Troubleshooting Guide if needed
- AI-Enhanced Security: Learn to implement GitHub Copilot for secure code generation
- Shift-Left Approach: Integrate security from the first line of code
- Real-World Scenarios: Practice with authentic enterprise security challenges
- Progressive Learning: Start from basics and advance to enterprise-scale solutions
- Multi-Cloud Security: Master security across Azure, AWS, and GCP environments
Complete workshop for leveraging AI tools like GitHub Copilot to optimize and improve code quality in enterprise environments. Learn advanced AI-assisted workflows, refactoring techniques, and best practices for integrating AI tools into development processes.
Secure Code AI Development (This Workshop)
Comprehensive workshop for implementing secure coding practices using AI-powered tools, GitHub Advanced Security, and modern DevSecOps workflows. Learn to shift-left security, reduce vulnerabilities significantly, and achieve enterprise-grade security compliance with AI assistance.
Hands-on workshop for implementing comprehensive observability solutions using Azure Monitor, Application Insights, and AI-powered tools. Learn to build modern monitoring systems, implement AI-enhanced observability, and create intelligent DevOps practices for cloud applications.
Comprehensive workshop for implementing design-to-code workflows using AI-powered tools, Figma integration, and modern development practices. Learn to bridge the gap between design and development, creating consistent and maintainable user interfaces with intelligent automation.
Hands-on workshop for transforming Figma designs into production-ready code using GitHub Copilot Agent Mode and AI-powered tools. Learn to convert sophisticated designs into fully functional applications, achieving significant time reduction in development cycles with enterprise-grade features.
This Secure Code AI Development Workshop was developed by Paula Silva, Developer Productivity Global Black Belt at Microsoft Americas, focusing on empowering developers to build secure applications through AI-powered automation.