SECURE SOFTWARE DEVELOPMENT LIFECYCLE
7 tracks · 37 modules · Comprehensive training for AI-augmented development teams. From security requirements through deployment and beyond.
SSDLC process, threat landscape, regulatory compliance, and AI governance for development teams.
Security requirements, threat modeling, cryptography standards, and privacy by design.
Secure coding practices, AI-augmented coding, security libraries, code review, and API security.
Version control security, change management, and AI code attribution and licensing.
Testing pyramid, security automation, penetration testing, and testing AI-generated code.
Pipeline security, SBOM, supply chain management, secrets, container security, and environments.
Vulnerability management, incident response, security logging, metrics, and software decommissioning.
Policy templates, checklists, how-to guides, infographics
Quick-reference summaries for each module
Knowledge checks to test your understanding