\n Agent Deployments<\/a>\u00a0extend the canary releases, approvals, and OPA guardrails that Harness already applies to Kubernetes deployments to managed agent runtimes like Amazon Bedrock AgentCore and Google’s Agent Runtime. Agents now ship through existing pipelines instead of a separate cloud-specific workflow.
\n AI Configs<\/a>\u00a0support the release and management of prompts and model changes at runtime, backed by the same feature flagging infrastructure that already manages code releases. Teams can test what performs best and roll back instantly, without redeploying.
\n AI Asset Catalog<\/a>\u00a0automatically discovers every agent, skill, and plugin built across an organization’s repositories and links each to an owner, so nothing ships or runs unaccounted for.
\n Harness <\/a>AgentTrace<\/a>\u00a0records what happens during a single agent run and across a full multi-step session, showing which path an agent took, where it slowed down, and how different models or prompts affect the outcome. Harness is also open-sourcing the foundational components behind AgentTrace, including harness-sdk and harness-evals, so developers can bring the same tracing primitives into their own AI applications.<\/p>\n
In addition, existing Harness products already extend to agents without requiring any changes: Continuous Integration<\/a>\u00a0builds them like any other service, Artifact Registry<\/a>\u00a0tracks their versions and dependencies, AI Test Automation<\/a>\u00a0validates their responses in plain English criteria, and AI Cost Management<\/a>\u00a0extends spend visibility to every agent and model.<\/p>\n Securing the Agent DLC<\/p>\n Agents choose their own approach and path to get there, so their behavior is hard to predict and just as hard to secure. They expand their own attack surface by connecting to tools and APIs, spawning sub-agents, and inheriting trust from every model they touch. Static scans were never designed for this kind of risk. Harness is launching new security capabilities<\/a> to close that gap.<\/p>\n Shift-left: constrain what agents can do before they ship.<\/p>\n Primitive Scanning\u00a0flags misconfigurations in agent skills, prompts, and models. Shield-right: enforce policy and maintain visibility once they’re live.<\/p>\n Agent Discovery and Posture Management continuously surfaces agents as they’re invoked, maps how they connect and orchestrate work, and assesses their posture across the organization. Together, these capabilities give Agent DLC a single audit trail from development to production.<\/p>\n Built on the Harness platform<\/p>\n Harness built context and intelligence directly into the platform with the Software Delivery Knowledge Graph<\/a>, which captures and connects data from every stage of the delivery lifecycle, now spanning both applications and agents. Organizations relying on siloed tools don’t have that same connected view.<\/p>\n In June 2026, Harness introduced Autonomous Worker Agents<\/a>, a platform for building and safely running AI agents inside software delivery pipelines. Worker Agents run as governed steps within those pipelines, covered by the same controls Harness already applies to every deployment.<\/p>\n Agent DLC extends that same context and governance across the full agent lifecycle. The pipelines, policies, approvals, and evidence that already apply to an organization’s code now apply to its agents too, so eval gates, deployment approvals, and security checks run as stages within a single pipeline, from the moment an agent is created through everything it does afterward.<\/p>\n Availability<\/p>\n Harness Agent DLC capabilities are rolling out now to Harness customers. For a full breakdown of what’s included at each stage of the lifecycle, visit https:\/\/www.harness.io\/blog\/introducing-harness-agent-dlc<\/a>.<\/p>\n Gartner, Emerging Market Quadrant for AI Agent Development Platforms \u2014 Established Vendors, 8 June 2026. GARTNER is a trademark of Gartner, Inc. and\/or its affiliates<\/p>\n About Harness<\/p>\n Harness<\/a>\u00a0is 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>\u00a0and the Software Delivery Knowledge Graph, 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 accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.<\/p>\n SOURCE Harness<\/p>\n
\n AIBOM\u00a0captures every model, tool, and dependency an agent was built with.
\n AI Testing\u00a0runs agents against adversarial inputs and the OWASP Top 10 for LLMs.<\/p>\n
\n AI Firewall enforces policy in real time against prompt injection, tool misuse, and data exfiltration.<\/p>\n![\"\"](\"https:\/\/rt.prnewswire.com\/rt.gif?NewsItemId=SF09065&Transmission_Id=202607211100PR_NEWS_USPR_____SF09065&DateId=20260721\")
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