SECURE SOFTWARE DEVELOPMENT LIFECYCLE
Building Secure Software
in the Age of AI
7 tracks · 37 modules · Comprehensive training for AI-augmented development teams. From security requirements through deployment and beyond.
Learning Tracks
Foundations & Governance
SSDLC process, threat landscape, regulatory compliance, and AI governance for development teams.
Design & Architecture
Security requirements, threat modeling, cryptography standards, and privacy by design.
Secure Implementation
Secure coding practices, AI-augmented coding, security libraries, code review, and API security.
Configuration Management
Version control security, change management, and AI code attribution and licensing.
Testing & Verification
Testing pyramid, security automation, penetration testing, and testing AI-generated code.
Build, Deploy & Operations
Pipeline security, SBOM, supply chain management, secrets, container security, and environments.
Response & Improvement
Vulnerability management, incident response, security logging, metrics, and software decommissioning.