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Harness surveyed 500 security practitioners and decision makers responsible for securing AI-native applications from the United States, UK, Germany, and France to share findings on global security practices. The State of AI-Native Application Security 2025 dives deep into AI visibility and the changing landscape of security vulnerabilities. If 2024 was the year AI started quietly showing up in our workflows, 2025 was the year it kicked the door down.

Harness has modernized Commitment Orchestrator to give FinOps teams a clearer, faster, and more intelligent way to manage cloud commitments. The redesigned experience unifies visibility across RIs, Savings Plans, on-demand, and Spot usage, with expanded metrics and streamlined workflows for smarter decisions. Built on a foundation for AI-powered insights, it helps teams optimize spend with greater confidence and less manual effort.

Cloud outage? Your flags should keep running. Harness Feature Management ensures seamless feature delivery with instant SDK fallback, local decisioning, and a globally distributed streaming architecture—no redeploys required. Over the past few weeks, the software industry has experienced multiple cloud outages that have caused widespread disruptions across hundreds of applications and services. When systems went down, the difference between chaos and continuity came down to architecture.

The AI Velocity Paradox is real. While teams are writing code faster than ever, they're hitting a wall downstream. Deployments are failing. Security vulnerabilities are slipping through. Manual toil is eating up whatever time developers saved with AI-assisted coding. The speed boost from one part of the software delivery lifecycle is being strangled by legacy processes in another. Harness is solving this the only way that works: by bringing intelligent AI deeper into the delivery process itself.

OpenTofu has emerged as the true open successor to Terraform, restoring transparency and community ownership after Terraform’s shift to a restrictive BSL license. With features like OCI registries, encryption at rest, and a public RFC process, it’s already outpacing Terraform’s innovation.

AI is generating more code than ever, but delivery hasn’t kept pace. The Harness IDP Knowledge Agent helps teams close that gap by turning their internal developer portal into an intelligent platform for faster, safer software delivery. Joining a new engineering team can be exciting, but it can also be overwhelming. You spend the first few days figuring out what each service does, where documentation lives, and who owns what.

Harness Chaos Engineering now runs natively on GKE Autopilot. A simple allowlist configuration enables you to test resilience on Google's managed Kubernetes without sacrificing security or requiring workarounds. Google's GKE Autopilot provides fully managed Kubernetes without the operational overhead of node management, security patches, or capacity planning. However, running chaos engineering experiments on Autopilot has been challenging due to its security restrictions. We've solved that problem.

We’re thrilled to share some exciting news: Harness has once again been named to Inc.’s 2025 Power Partners list, recognizing companies that go above and beyond to help their customers succeed. This marks our second year in a row on the list — and while awards are always nice, this one feels special because it celebrates something deeper than technology. It’s about the relationships, trust, and collaboration that power real outcomes for our customers every day.

Harness earned a patent for it's unified pipeline editor which makes it easy to configure pipelines whether they are for CI, CD, IaC, database migrations, service onboarding or other DevSecOps activities. ‍ We're thrilled to share some exciting news: Harness has been granted U.S. Patent US20230393818B2 (originally published as US20230393818A1) for our configuration file editor with an intelligent code-based interface and a visual interface.

Traditional UI testing struggles to keep up with rapid design and workflow changes, often focusing on brittle selectors rather than user outcomes. Harness AI Test Automation introduces intent-driven, natural language assertions that understand what teams want to verify, not just how tests are written.