The Missing Piece in AI Software Delivery<\/p>\n
Modern software delivery environments are inherently complex. Pipelines, services, build and deploy infrastructure, artifacts, and dependencies are deeply interconnected \u2014 and the data that describes how they relate to one another is scattered across dozens of tools. As organizations accelerate their adoption of AI-powered engineering, that fragmentation becomes a critical liability. AI is only as effective as the context it can access, and today, most AI agents are operating with an incomplete picture.<\/p>\n
Harness is addressing this challenge head-on. By integrating Google Cloud Developer Connect insights into the Harness Software Delivery Knowledge Graph<\/a>, joint customers gain a continuously updated, relationship-aware model of their software delivery environment that spans both platforms, bridging the visibility gap between development and production so that AI agents can operate with complete and reliable context. For engineering teams, this translates directly to making decisions grounded in situational awareness rather than generic training data, allowing them to execute complex workflows with greater accuracy.<\/p>\n Where the Partnership Comes to Life<\/p>\n For joint customers of Harness and Google Cloud, this integration means Harness AI<\/a> can now make smarter, faster decisions on their behalf. By bringing together deployment event logs, runtime data, and application dependency information from Google Cloud into the Harness Software Delivery Knowledge Graph, teams gain a continuously updated, comprehensive view of their software delivery environment. When an issue arises, engineers can diagnose and remediate faster, trace problems 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.<\/p>\n The result is AI that works harder for customers. With richer context available upfront, AI agents<\/a> can operate more efficiently, delivering answers and recommendations that reflect the true state of the environment. Everything teams need is in one place, and their AI has everything it needs to act on it confidently.<\/p>\n Security is central to how this integration was built. Data shared between Harness and Google Cloud is governed by enterprise-grade access controls, ensuring the right information reaches the right people within the guardrails organizations require.<\/p>\n “AI is only as powerful as the context behind it. Without it, teams fall into the AI Velocity Paradox: moving code faster than ever, but risking shipping software that is unverified, insecure, and unreliable,” said Jyoti Bansal<\/a>, co-founder and CEO of Harness. “This is exactly what our expanded work with Google Cloud directly addresses, giving joint customers a unified view of their software delivery environment and AI that can actually reason across it. When context is complete, speed and confidence go hand in hand.”<\/p>\n A Collaboration That Keeps Deepening<\/p>\n This integration is the latest evolution of a long-standing collaboration between Harness and Google Cloud. Harness AI runs on Gemini Enterprise Agent Platform, and joint customers already benefit from expanded access through Google Cloud Marketplace. With this announcement, that work expands from the infrastructure layer into the application layer \u2014 and directly into how AI understands and acts on the software delivery environment. And it doesn’t stop there. The Harness MCP Server is now accessible within Google’s Gemini Enterprise app environment, enabling Gemini Enterprise customers to leverage Harness capabilities directly from their existing AI interface.<\/p>\n “Google Cloud provides cutting-edge technology that helps partners innovate and deliver more impactful solutions for business transformation,” said Ritika Suri, Managing Director, AI and Data Partnerships at Google Cloud. “Through our partnership with Harness, we will provide customers with innovative capabilities that can improve operations, enhance customer experiences, and drive innovation.”<\/p>\n Join Us<\/p>\n As our Knowledge Graph ecosystem continues to grow, Harness remains committed to expanding the breadth of integrations available to customers with the goal of being the most comprehensive AI-ready software delivery platform on the market.<\/p>\n To connect with the Harness team in person, visit the Harness booth at Google Cloud Next<\/a>.<\/p>\n About Harness SOURCE Harness<\/p>\n
Harness<\/a> is the AI Software Delivery Platform\u2122 company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI<\/a> and the Software Delivery Knowledge Graph<\/a>, the platform brings intelligent automation to every stage of the software delivery lifecycle after code \u2014 removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to deploy up to 70% faster, reduce change failure rates by 50%, cut deployment effort by 80%, and lower security noise by 65%. Based in San Francisco, Harness is backed by Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.<\/p>\n![\"\"](\"https:\/\/rt.prnewswire.com\/rt.gif?NewsItemId=SF40615&Transmission_Id=202604221100PR_NEWS_USPR_____SF40615&DateId=20260422\")
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