GitLab for Public Sector: AI Governance at Software Speed

AI is accelerating defense software development, but increased development speed can introduce new security risks when governance is treated as an afterthought. This resource explores how ad hoc AI stacks can increase code volume, vulnerabilities and the speed at which threats can be exploited.

GitLab's unified, AI-native software development lifecycle (SDLC) integrates shared context, audited workflows and cross-domain deployment models to help secure the software factory from development through deployment. Discover how agent-orchestrated workflows can give defense teams governed acceleration while maintaining security, visibility and control.

Key Takeaways:

• Balance AI-driven development speed with security and governance
• Reduce risks associated with ad hoc AI development stacks
• Secure the software lifecycle from development through deployment
• Use shared context to improve visibility and collaboration
• Implement audited workflows for greater governance
• Support cross-domain software deployment
• Orchestrate AI agents within governed development environments
• Accelerate defense software development without sacrificing security and control