Harness integrates Google Cloud’s Developer Connect with the Software Delivery Knowledge Graph to provide engineering teams with smarter, faster AI-driven insights.
Harness, an AI Software Delivery Platform™ company, announced the integration of Harness’ Software Delivery Knowledge Graph with Google Cloud’s Developer Connect. This initiative provides joint customers with an integrated, AI-enabled view of the entire software delivery lifecycle and the intelligence to act on it with confidence.
The announcement was made at Google Cloud Next, where Harness also won the 2026 Google Cloud Technology Partner of the Year Award in the Application Development – DevOps category.
The missing piece in AI software delivery
Modern software delivery environments are inherently complex. Building and deploying pipelines, services, infrastructure, artifacts, and dependencies are deeply interconnected, and the data about how they relate to each other is spread across dozens of tools. As organizations accelerate the adoption of AI-enabled engineering, fragmentation becomes a critical issue. AI is only as effective as the context it has access to. Currently, most AI agents operate with an incomplete picture.
Harness meets this challenge head-on. By integrating Google Cloud Developer Connect insights into the Harness Software Delivery Knowledge Graph, joint customers gain a continuously updated relationship-aware model of their software delivery environment across both platforms, bridging the visibility gap between development and production environments and enabling AI agents to operate in a complete and trusted context. For engineering teams, this translates directly into decision-making based on situational awareness rather than general training data, allowing complex workflows to be executed more accurately.
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Where partnerships come to life
For joint customers of Harness and Google Cloud, this integration means Harness AI can make smarter, faster decisions on their behalf. Integrating deployment event logs, runtime data, and application dependency information from Google Cloud into the Harness Software Delivery Knowledge Graph gives teams a comprehensive, continuously updated view of their software delivery environment. When issues occur, engineers can diagnose and remediate them faster, trace issues back to specific source files or infrastructure, and link artifacts to the teams responsible for them, without having to manually piece together context from multiple systems.
The result is an AI that works harder for your customers. With richer context available upfront, AI agents can operate more efficiently and provide answers and recommendations that reflect the true state of the environment. Everything your team needs is in one place, and AI has everything it needs to act with confidence.
Security is at the heart of how this integration is built. Data shared between Harness and Google Cloud is managed with enterprise-grade access controls to ensure the right information reaches the right people within the guardrails your organization requires.
“AI is only as powerful as the context behind it. Without AI, teams find themselves in an AI velocity paradox: moving code faster than ever before, but at the risk of shipping software that is untested, unsecure, and unreliable,” said Jyoti Bansal, co-founder and CEO of Harness. “This is a direct response to our expanded efforts with Google Cloud to provide our mutual customers with a unified view of their software delivery environment and the AI that can actually reason about that entire environment. Once context is complete, speed and reliability go hand in hand.”
Collaboration continues to deepen
This integration is the latest evolution in a long-standing collaboration between Harness and Google Cloud. Harness AI runs on the Gemini Enterprise Agent Platform, and joint customers are already benefiting from expanded access through Google Cloud Marketplace. This announcement expands that effort from the infrastructure layer to the application layer, extending directly to how AI understands and operates in software delivery environments. And that’s not all. The Harness MCP server is now accessible within Google’s Gemini Enterprise app environment, allowing Gemini Enterprise customers to leverage Harness functionality directly from their existing AI interfaces.
Ritika Suri, Managing Director, AI and Data Partnerships, Google Cloud. “Google Cloud provides cutting-edge technology that helps our partners innovate and deliver more effective solutions for business transformation.” “Through our partnership with Harness, we will provide our customers with innovative capabilities that can improve their operations, enhance the customer experience, and drive innovation.”
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