Operations | Monitoring | ITSM | DevOps | Cloud

Agent Mode Engaged! Enchaining Agentic Operations with Splunk AI Assistant 2.0

In this session, we will introduce your new "digital teammate"—the supercharged Splunk AI Assistant. We’ll demonstrate how the new Agent Mode provides the context, reasoning, and recommendations necessary to reduce your mean time to resolution (MTTR) from hours to minutes.

AI budgeting: how to plan and forecast AI spend

AI budgeting is the process of planning, allocating, and forecasting an organization's AI spend: model and API costs, AI infrastructure, tooling, and the people running it all. It differs from traditional budgeting because AI spend is usage-based, scales with product success rather than headcount, and often spans multiple providers.

Why Energy Efficiency Matters in Modern Office Buildings

Commercial office buildings consume massive amounts of electricity daily to keep lights, computers, and climate systems running continuously. Rising utility costs and changing corporate standards push management teams to evaluate baseline energy habits. Cutting unnecessary power usage preserves operational capital and lowers overhead costs. Modernizing office infrastructure creates leaner, more resilient business environments for tenants and owners alike. Addressing structural energy waste improves indoor comfort while shielding properties from fluctuating power rates.

From Data Analytics to AI: The Technology Behind Modern Fraud Detection

A supplier changes its bank details at 3:12 p.m. Three invoices arrive before 5:00, each just below the level requiring senior approval. That evening, an unfamiliar device accesses the payment account. None of those events proves fraud. Together, they form the kind of pattern modern detection systems are built to recognise.

AI and Real-World Evidence: The Growing Role of Intelligent Systems

A modern incident rarely leaves one decisive record. It leaves a data field. A vehicle stores speed and brake input. A phone preserves motion and location signals. Cameras capture visible movement, while cloud platforms log account activity. Artificial intelligence can connect these fragments and build a timeline that a human investigator can test. Machines have not become witnesses. They have become tools for comparing what different systems recorded, exposing conflicts, and showing where the evidence remains incomplete.

The Technology Behind the Rapid Growth of On-Demand Home Services

A leaking pipe may look like a simple booking problem. For the platform receiving the request, it is a live decision problem involving diagnosis, skills, distance, time, price, identity, risk, and incomplete information. The rapid growth of on-demand home services did not come from placing a calendar inside an app. It came from making field work machine-readable enough to classify, optimize, monitor, and improve.

August 2026 product update: hosted MCP and more

Your MCP client doesn’t need your whole API key just to look up an error anymore. Honeybadger's hosted MCP server now supports OAuth. You can approve it through your browser, scope your permissions, revoke your permissions, and rest easy knowing that our tokens auto-refresh and don’t sit around in a config. Keep reading to see how it works and get a quick recap of everything else that shipped this cycle.

The Architecture Question That Never Dies: From BPMN and M&A to MCP

Twenty years ago at RMIT, I became preoccupied with a question that sounded technical but was really about corporate value: could you predict how difficult a company would be to acquire by looking at the shape of its APIs? It was 2006. I was completing Honours in a Bachelor of Applied Science in Software Engineering, and the brief for my research project was unusually open: find an impactful software research hypothesis that hasn’t been done before.

Build and Launch AI Agents from Your Splunk Workflows

Introducing the Splunk Agent Launchpad! Let’s face it—your team is busy. Between managing alerts, digging through investigations, and constant context-switching, it’s hard to stay ahead of the noise. What if you could turn your existing operational knowledge into custom AI agents that do the heavy lifting for you? And the best part? No coding required. Watch this exclusive look at the Splunk Agent Launchpad. We’re showing you how to build, deploy, and manage AI agents that help you investigate, enrich, summarize, and act—all without leaving the Splunk environment you already know and trust.