How DevSecOps is Evolving in the Age of Agentic AI

Topic : information technology | software platforms

How DevSecOps is Evolving in the Age of Agentic AI

Accelerate development while strengthening security with agentic AI

In today's competitive landscape, development teams face mounting pressure to deliver secure software faster while navigating complex toolchains, distributed teams, and evolving security threats. Traditional approaches are creating bottlenecks rather than solutions.

The future of DevSecOps lies in agentic AI—intelligent systems that don't just assist developers but proactively orchestrate complex workflows, automate security processes, and continuously adapt to your organization's patterns and preferences.

In this comprehensive guide, you'll discover:

  • Why DevSecOps evolution is critical - Address the pain points of tool proliferation, innovation bottlenecks, and lengthy onboarding cycles that plague modern development teams
  • The agentic AI advantage - Move beyond simple coding assistants to intelligent systems that independently plan, execute, and optimize multi-step development processes
  • Practical transformation strategies - Turn productivity constraints into competitive advantages through automated vulnerability remediation, legacy code modernization, and seamless workflow integration
  • GitLab Duo with Amazon Q in action - See how this integrated solution accelerates feature development, boosts quality assurance, and modernizes Java applications while maintaining security throughout the SDLC


Transform your development practice from reactive to proactive. With agentic AI handling routine tasks and providing intelligent guidance, your teams can focus on innovation while delivering more secure software faster than ever before.

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