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October 30, 2025

How Our Google Cloud Partnership Puts Speed and Trust Directly in Your Hands

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Teams have always been under pressure to deliver software faster. But here's what we've learned from working with thousands of engineering teams: writing the code has never been the real bottleneck. It's everything that happens after - the testing, security scans, deployments, and optimizations that determine whether your innovations actually reach customers quickly and reliably. Even in the era of AI, the speed boost is uneven, creating the AI Velocity Paradox.

That's why we're excited to share how our collaboration with Google Cloud changes the game for your team. This isn't just about new technology - it's about solving the daily challenges that prevent you from shipping with confidence.​

What This Means for Your DevSecOps Workflows

You might have experienced the frustration of watching perfectly good code sit in limbo while your CI/CD pipelines break, tests fail, or security scans slow everything down. Nearly 45% of all deployments linked to AI-generated code lead to problems.​

With Harness AI enabled by Google Cloud's Vertex AI platform, you get intelligent automation across every stage after code. Your team can now create enterprise-grade pipelines in seconds using natural language, automatically generate and maintain tests that adapt to changes, and deploy with confidence knowing AI is detecting issues in real time.​

The results speak for themselves. Teams using Harness AI are already seeing test cycle times slashed by up to 80%, pipeline onboarding accelerated by 85%, and issue resolution that's 7 times faster. That's not just incremental improvement - it's getting back hours of your day to focus on innovation instead of toil.​

Security and Compliance You Can Actually Trust

We know what keeps you up at night. You need speed, but you can't compromise on security or compliance. This is where our partnership with Google Cloud becomes critical for your peace of mind.​

Harness AI is enabled by Vertex AI, Google Cloud’s advanced AI platform that provides private, dedicated access to cutting-edge models like the Gemini 2.5 series. Your data is never stored or used for training. Every insight and recommendation is generated using only your organization's context through our Software Delivery Knowledge Graph, which remains completely isolated.​

You get built-in privacy, governance, scalability, and compliance guardrails, ensuring you can adopt AI without risk. Security scanning happens in real time, vulnerabilities get detected and remediated automatically, and every change is tracked for full auditability.​

The Power of Context-Aware Intelligence - The Software Delivery Knowledge Graph

Powering Harness AI is our Software Delivery Knowledge Graph, which helps it understand your entire software delivery environment. Our Knowledge Graph is purpose-built exclusively for the software delivery lifecycle, capturing relationships across every stage from code to production in a secure, privacy-first manner.

Unlike generic knowledge graphs, it continuously ingests and connects a wide range of data from builds, tests, deployments, incidents, infrastructure changes, security scans, feature flags, rollbacks, test results, cloud spend, and database changes into a unified, real-time intelligence layer. This comprehensive mapping enables Harness AI to understand not just individual components, but the causal relationships between code changes, deployment outcomes, system behavior, and business impact. We also plan to integrate data from Google Cloud Platform into our knowledge graph, enhancing the AI's understanding of your GCP workloads.

Need to troubleshoot a broken pipeline? AI-powered error analysis translates cryptic error messages and provides actionable next steps based on your environment, saving you hours of debugging time. Want to optimize your cloud costs? You get smart recommendations tailored to your actual usage patterns, not generic best practices.​

Harness AI: Built Into The Platform, Not Bolted On

You don't need to install anything new, manage external credentials, or lose control of your workflows. Harness AI works directly within the Harness Platform you already use, integrating seamlessly with your CI/CD pipelines, Feature Flags, Cloud Cost Management, and Security Testing. Behind the scenes, specialized AI agents work together to automate tasks intelligently.​

Your engineers can simply describe what they need in natural language through a chat interface, and Harness AI handles the complexity. Whether it's onboarding new team members who can now deploy with confidence in minutes instead of days, or automatically rolling back deployments when regressions are detected, the intelligence adapts to your workflows.​

Deeper Integrations with Google Cloud

Recently, we were the launch partner for Gemini CLI extensions, which enables AI to seamlessly interact with Harness tools and GCP services using the Model Context Protocol (MCP) standard. This allows engineers to leverage powerful CLI capabilities that effortlessly reach multiple tools through standardized communication.

Our collaboration with Google Cloud goes beyond today's capabilities. We're investing in Google Cloud's Agent2Agent (A2A) protocol for enhanced interoperability, and customers already have expanded access to Harness through Google Cloud Marketplace. This shared foundation means tighter integration and more powerful automation for your team as we continue building together.​

The partnership reflects a shared commitment: helping you move at the speed of innovation while ensuring the enterprise safety and compliance your business depends on. With roots in Google Cloud, Harness AI gives you the scale and resilience global enterprises demand.​

Harness AI is available now for all Harness customers. Your team no longer has to choose between speed and trust - with our Google Cloud collaboration, you get both.

Bala Venkatrao

Bala Venkatrao is the SVP & GM of Platform at Harness, where he leads the teams responsible for the shared platform services that power all Harness products. Before joining Harness, Bala spent over five years at Atlassian as a General Manager, leading key initiatives across Partners, Ecosystem, Marketplace, and Commerce. Earlier in his career, he co-founded an AIOps startup, where he served as Chief Product Officer. Bala brings a founder’s mindset, deep enterprise SaaS experience, and a passion for building products and platforms that scale and deliver lasting customer value.

Rohan Gupta

I’m the Product Lead for Harness AI, driving the future of AI-native DevOps. I introduced the AI DevOps Agent to automate pipeline creation and management, the Unified Agent to streamline developer experiences, and the Harness MCP (Model Context Protocol) Server to securely power multi-agent workflows. Together, these initiatives enable teams to go from hours to minutes in onboarding, while unlocking scalable, AI-driven software delivery.

Chinmay Gaikwad

Chinmay's expertise centers on making complex technologies - such as cloud-native solutions, Kubernetes, application security, and CI/CD pipelines - accessible and engaging for both developers and business decision-makers. His professional background includes roles as a software engineer, developer advocate, and technical marketing engineer at companies such as Intel, IBM, Semgrep, and Epsagon (later acquired by Cisco). He is also the co-author of “AI Native Software Delivery” (O’Reilly).

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