Building a Complete DevSecOps Infrastructure with Agentic AI
Session Overview
Interest in β and demand for β AI agents is surging across the market. But once organizations actually deploy them, a hard question remains unanswered: how much has organizational efficiency really improved? On top of that, agents built to operate within an organization's governance and compliance requirements inevitably run into real limitations.
This session introduces how GitLab's Duo Agentic Platform pushes development productivity to its limit, while showing how to build a DevSecOps setup tailored to each organization's own governance and regulatory needs.
Key Takeaways
- Why the productivity gains promised by AI agents are often hard to prove once they're actually deployed inside an organization.
- The governance and compliance limits that AI agents inevitably run into inside regulated enterprise environments.
- How the Duo Agentic Platform maximizes development productivity while staying aligned with each organization's own DevSecOps requirements.
Speaker
Jeonghan has spent over 10 years in the IT industry, working across a wide range of development environments β from Big Tech and large enterprises to startups. Drawing on that experience as a developer across diverse ecosystems, he now serves as a Solution Architect at GitLab, where he helps customers build the best possible AI and DevSecOps environments for their organizations.