Operations | Monitoring | ITSM | DevOps | Cloud

Modern application security is struggling to keep up with AI-driven development and cloud-native scale, especially when security feels bolted onto CI/CD instead of built in. Harness SAST and SCA bring AI-powered application security testing natively into the Harness platform, reducing noise and alert fatigue. By identifying only vulnerabilities that are actually reachable in production code, teams get findings they can trust and act on faster.

Harness AI is starting 2026 by doubling down on what it does best: applying intelligent automation to the hardest “after code” problems, incidents, security, and test setup, with three new AI-powered capabilities. These updates continue the same theme as December: move faster, keep control, and let AI handle more of the tedious, error-prone work in your delivery and security pipelines. ‍

Have you ever watched a “temporary” Infrastructure as Code script quietly become mission-critical, undocumented, and owned by someone who left the company two years ago? We can all related to a similar scenario, if not infrastructure-specific, and this is usually the moment teams realise the build vs buy IaC decision was made by accident, not design.

The Argo ceiling is a predictable scaling challenge, not a failure of Argo CD or GitOps. As clusters and teams grow, visibility, governance, and orchestration fragment without a control plane. Script-heavy workflows and manual processes slow delivery and increase risk at scale. A GitOps control plane enables unified visibility, structured workflows, automated guardrails, and secure secret management. GitOps has become the default model for deploying applications on Kubernetes.

Kubernetes cost overruns usually come from small, invisible scheduling decisions—not the platform itself. Over-provisioned requests, poor bin packing, and fragmented node pools quietly waste cloud spend. Cost-aware scheduling, right-sizing, and smarter node selection can deliver major savings without hurting performance. Treat cost as a first-class metric with visibility into why scaling decisions happen—not just when.

The rapid adoption of AI is fundamentally reshaping the software development landscape, driving an unprecedented surge in code generation speed. However, this acceleration has created a significant challenge for security teams: the AI velocity paradox.

Harness AutoStopping helps FinOps teams eliminate up to 70% of idle cloud spend through intelligent, policy-driven automation. By automatically stopping and restarting unused resources without disrupting developers, organizations move from reactive cost reporting to continuous, proactive cloud cost optimization.