TCS & GitLab partner on AI-native DevSecOps at scale
Tata Consultancy Services has partnered with GitLab to provide AI-driven orchestration and automation across the DevSecOps lifecycle, as large organisations seek faster software delivery with stronger security and compliance controls.
The companies will work on using the GitLab Duo Agent Platform in enterprise development environments. The partnership centres on "agentic" AI-software agents that can carry out tasks across development workflows with some autonomy, under governance and security controls.
Platform focus
GitLab positions itself as an orchestration platform for DevSecOps, spanning planning, coding, testing, security scanning and deployment. TCS will pair the platform with its advisory and delivery services for AI-led transformation in large organisations.
TCS will develop industry-focused workflow templates and pre-built agents based on common use cases. These are intended to work with GitLab's agent framework as organisations introduce AI-assisted development in a controlled way.
GitLab Duo Agent Platform includes multiple types of agents and controls, including agentic chat, foundational agents built by GitLab, and custom agents for more complex tasks. It also supports external integrations such as Claude Code from Anthropic and Codex CLI from OpenAI, alongside governance and security controls.
"TCS brings extensive industry experience and global scale that enterprises need to maximize the value of GitLab Duo Agent Platform at scale. Together, we're enabling joint customers to transform how they build and deliver software, orchestrating AI agents across the entire software development lifecycle with the governance, security, and support that enterprises require," said Alex Picker, VP of Global Ecosystems at GitLab.
Services and migration
The partnership also covers legacy modernisation and toolchain consolidation. Many large enterprises still run development programmes across multiple tools accumulated over time through departmental decisions and acquisitions. Consolidation has become a theme in DevSecOps as security teams push for consistent policy enforcement and auditable workflows.
TCS plans to use GitLab's platform as the base for automated workflows from planning through production. The companies also described large-scale migrations for global organisations with complex environments and multiple teams, typically involving process redesign, platform configuration, integration work and training.
"Transformation in the AI era requires not just modern tools, but a fundamental reimagining of how software is built, secured, and delivered. Our strategic partnership with GitLab is aimed at making AI real for enterprises. It enables us to bring AI-Native DevSecOps capabilities to our clients. This is particularly crucial as enterprises navigate the imperative of AI-led rapid software development while maintaining reliability, security and compliance," said Ashok Krish, head of AI Practise at TCS.
Beyond implementation, the collaboration also includes ongoing support. Services include assessments, migration roadmaps, custom agent development, industry accelerators and managed platform services. TCS Centres of Excellence will provide enablement, change management and enterprise support.
Sector demand
The companies highlighted use cases across telecommunications, media and financial services, where software release cadence and compliance requirements often conflict. In telecommunications and media, the focus is on large product estates spanning customer-facing channels, network systems and content delivery platforms. In financial services, modernisation programmes often involve core systems that require strict controls around risk, data handling and auditability.
Other sectors cited include retail, manufacturing, healthcare and the public sector. In each case, DevSecOps transformation typically involves standardising workflows across many teams, improving visibility for security and operations leaders, and creating repeatable paths from code changes to production releases.
GitLab has been expanding its AI roadmap through the Duo product line, including features for coding assistance and workflow support. Service providers such as TCS often play a central role in turning these tools into enterprise deployments, where organisations also need design work, policy definition and operational processes.
The companies will work with joint customers on implementations that orchestrate AI agents across the full software development lifecycle, with governance and security controls applied within organisational standards and guardrails.