Designing AI Governance Into Your SDLC for EU AI Act Compliance | Module 3.3

Описание: Most teams still treat AI governance as a painful checklist at the end of a project. In this module, you’ll learn how to wire governance, security, and compliance into your digital transformation and procurement workflows so every AI initiative is “compliant by design,” not by afterthought.

You’ll see how to align AI governance with secure software development practices, DevSecOps, and modern cloud environments—reducing risk while keeping innovation fast.

What you’ll learn:
How to integrate AI governance across the full delivery lifecycle (ideation → design/build → testing → operations)
Practical steps to align with the EU AI Act, including prohibited and high‑risk use screening
How to embed privacy controls, data lineage, explainability, and model cards into AI systems
Governance considerations for both *build* (internal models, smart contracts, apps) and *buy* (SaaS, embedded AI in HR, CRM, ERP)
How to connect AI governance with DevSecOps, SSDLC, threat modeling, and security‑first culture
The role of cloud security (AWS, Azure, GCP) and CI/CD pipeline security in responsible AI delivery

Course progression (approximate):
Module 1: Foundations of AI governance and EU AI Act
Module 2: Governance in ideation and solution design
Module 3: Secure build, testing, and validation workflows
Module 4: Operational monitoring, vendor governance, and continuous improvement

For corporate training in Data Security, Blockchain Security, Cloud Security, DevSecOps, and Responsible AI, visit https://kryptomindz.com or contact [email protected] / +91-9873062228.

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