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harness

How We Secured AI Worker Agents in Harness | Harness Blog

Jul 13, 2026 By Shivansh Srivastava In Harness
When we launched Autonomous Worker Agents, the message we led with was simple: governance is inherited, not integrated. Agents don't get security bolted on after the fact. They inherit the OPA policies, RBAC, and audit trails already running your production pipelines. This post is about the layer underneath that promise: isolation. We let an Autonomous Worker Agent run shell commands and call APIs inside our pipelines.
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logz.io

Part II: Inside Alert AI Analysis: From a Single-Agent Prompt to an Agent Harness

Jul 13, 2026 By Kevin Klein In logz.io
TL;DR: This is the engineering companion to our announcement post, Upgraded Alert AI Analysis: Automated Incident Investigation, read that one for what the new generation does for your team; read on for how it works under the hood. Interested in hearing more? Book a demo to see the Alert AI Analysis Agent live. Root cause analysis is one of the harshest tests you can give an AI.
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What Separates a Serious AI Data Collection Company From One That Just Says It Is

What Separates a Serious AI Data Collection Company From One That Just Says It Is

Jul 12, 2026 By OpsMatters In OpsMatters
Most AI projects don't fail at the model architecture stage. They don't fail at deployment. They fail earlier and more quietly - at the point where the data that was supposed to train the model turns out to be insufficient, inconsistent, or simply wrong for the task it was collected to serve. Choosing the right ai data collection companies is, in this sense, one of the highest-leverage decisions an organization makes when building AI capability - and one of the decisions most commonly made on the wrong criteria.
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scout

Monitoring AI Applications in 2026: What You Actually Need

Jul 11, 2026 By Sarah Morgan In Scout
Last updated: July 2026. Your AI feature works in development. It demos well. Then it hits production and you discover three problems your test suite did not catch: the LLM hallucinates product names that do not exist, the RAG retrieval step adds 4 seconds to every request, and your OpenAI bill is 3x what you budgeted because one prompt template is burning tokens on context that does not help the output. Traditional APM would have caught the latency.
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scout

Your AI Coding Agent Is Flying Blind in Production

Jul 11, 2026 By Sarah Morgan In Scout
Your AI coding agent can refactor a module, write tests, and open a PR. It can read your codebase, understand your patterns, and suggest changes that follow your conventions. What it cannot do, unless you set it up, is see what is actually happening in production. That is a problem. The agent that writes the code should have access to the errors, traces, and performance data that code generates once it ships. Without production context, your agent is writing fixes based on the code alone.
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AI Is Reshaping the Tech Industry in 2026: What Consumers and Businesses Need to Know

AI Is Reshaping the Tech Industry in 2026: What Consumers and Businesses Need to Know

Jul 11, 2026 By OpsMatters In OpsMatters
Artificial intelligence has evolved from an emerging technology into one of the biggest drivers of innovation across the global technology industry. In 2026, AI is influencing everything from smartphones and laptops to cybersecurity, cloud computing, enterprise software, and digital productivity tools. Companies worldwide are investing heavily in AI powered products that improve efficiency, automate repetitive tasks, and deliver more personalized user experiences.
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InvGate

How to Use Your Knowledge Base to Increase AI Chatbot Deflection

Jul 10, 2026 By Natalí Valle In InvGate
Ticket deflection is the metric IT leaders point to when they talk about AI chatbot ROI, and the knowledge base is the part of the equation that determines whether that number moves. A chatbot can run natural language processing well and still deflect almost nothing if the content behind it is thin, outdated, or scattered across articles that don't match how people actually ask questions.
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Why AI agents need a job description | The future of agentic AI in IT

Jul 10, 2026 By Resolve In Resolve
An AI agent is only as useful as the job you can safely hand it. In this Zero Ticket Minute, Ian Coppock, Resolve Customer & Partner Marketing Manager, breaks down why enterprise AI is moving toward purpose-built agents with defined roles, scoped permissions, and real guardrails. That is the foundation for autonomous IT operations and Zero Ticket IT. Subscribe for weekly insights on AI, IT automation, and where enterprise operations are heading.
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