Harness 在 2026 年发布了 124 项受追踪的更新。 在 9 个活跃月份中平均每月约 14 项。 最活跃的月份是 2026年9月(33)。 主要主题是 content pieces(38)。 亮点:“Harness introduces knowledge graphs to unify SDLC data and power deterministic AI”(2026年10月5日)。
2026年10月
Harness introduced the Software Delivery Agent to automate the post-code delivery process, addressing bottlenecks in review, build, test, secure, deploy, and verify stages. The agent executes controls…
Harness introduced the Security Testing Agent (STA), an AI-powered tool that scans code, dependencies, and pipelines to prioritize vulnerabilities by exploitability and reachability. It generates vali…
Harness was named a leader in SecureIQLab's Cloud WAAP v5.0 CyberRisk Validation Report, achieving 99.8% Security Efficacy and 98.2% Operational Efficiency. The report highlights Harness's 100% effect…
Harness published a detailed guide explaining how knowledge graphs can unify fragmented software delivery lifecycle (SDLC) data across tools by establishing explicit entities, relationships, and schem…
Harness replaced the judgment step in its AI API classification pipeline with Jev, reducing per-endpoint classification costs by 1,200× versus the original pipeline and 150× versus a single-shot LLM. …
Harness announced an on-demand webinar detailing its security policies, frameworks, and guardrails for protecting customer data and assets when using Harness AI and Agents. The session covers AI gover…
Access Management Advanced Role-Based Access Control gives granular control over what users and service accounts can do across the platform.
Harness argues that traditional FinOps fails engineers due to delayed feedback and tooling friction, leading to runaway cloud costs. The company introduces its Cost Management Agent to embed real-time…
Harness announced a webinar detailing its security policies, frameworks, and guardrails for protecting customer data and assets when using Harness AI and agentic capabilities. The session covers model…

Harness delivered 102 product updates in September 2026, including a ChatGPT plugin for pipeline management, merge queues for PRs, built-in secret scanning for IaC, and a Homebrew CLI installer. Key a…
2026年9月
Harness argues that engineers often overlook cloud cost optimization due to misaligned incentives and lack of visibility, proposing AI-powered cost management agents to embed FinOps governance into wo…
Harness introduced a new connector enabling ChatGPT and Codex to inspect pipeline health, investigate build failures, and execute deployment workflows directly from AI tools. The integration aims to b…
A Harness-commissioned survey of 700 developers found 31% of their time is spent on AI-related invisible validation work (e.g., reviewing AI-generated code) that current metrics fail to capture. 94% o…
Harness found 75% of organizations have deployed AI agents in production despite lacking critical controls, with 87% experiencing agent-related security incidents and 60% overspending budgets. Confide…
Harness published a comprehensive guide on cloud cost optimization for 2026, emphasizing allocation, rightsizing, idle resource management, and commitment strategies. The post highlights three new AI-…
Harness unveiled a new control plane concept enabling AI agents to autonomously manage the full software delivery lifecycle beyond pull requests. The system uses standardized interfaces like MCP to le…
Harness released a blog post detailing 15 AWS cost optimization tactics across compute, storage, networking, and monitoring, accompanied by a quick-reference table. The post links to multiple Harness …
Harness introduced a new integration with Amazon Bedrock AgentCore, providing security teams continuous visibility and real-time threat detection across AI agent interactions on AWS. The integration e…
Harness argues that traditional cloud cost optimization efforts often fail engineers due to misaligned incentives and lack of visibility, advocating for developer-centric FinOps practices. The post hi…
Harness published a blog outlining how machine learning is transforming secure software development lifecycle (SDLC) practices, including AI-assisted code review, automated triage, and new risks like …
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