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How AI lets you talk to your company's data and get answers instantly

In this conversation recorded at Elastic’s New York office, three product leaders discuss how AI agents are transforming enterprise software. The discussion features Steve Kearns (general manager, Search solutions at Elastic), Mike Nichols (general manager, Security solutions at Elastic), and Baha Azarmi (general manager, Observability at Elastic). They explain how Elastic Agent Builder allows teams to interact with their data using natural language instead of complex queries.

How LLMs can help boost productivity

Learn how large language models (LLMs) are transforming productivity in business, coding, research, and daily workflows. Discover practical ways to use AI tools to automate tasks and improve efficiency. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Your Questions About AI-Assisted Development Answered

We recently hosted a webinar on AI-assisted development with DORA, and the audience had a lot of questions—far more than we could get to in an hour. I picked out six that get at the stuff people are wrestling with day to day. These aren't the easy questions, and I don't think there are necessarily easy answers, but I've spent the past year building and shipping with AI coding tools and observing (literally) what happens when that code hits production. Here's what I have.

AI-ready sovereignty playbook 2026: how to run gen-AI workloads (ethically) in the EU

Sovereignty is a concept that can have shown nuances in the way it is currently used by states and industry to describe some services. The term “strategic autonomy” has also been used, as to describe the need for governments to ensure that they have a hand on the full value chain (or at least know the gaps and accept the risks) and can apply their rules while it seats in its jurisdiction (autonomy derives from the greek autos (self) nomos (rule).

What Is LLMjacking? The New AI Cybercrime Stealing Cloud AI Compute

LLMjacking is a new cybercrime where attackers steal access to cloud-hosted AI models and use them for free — while the victim pays the bill. In this video, we break down what LLMjacking is, how attackers exploit compromised credentials and exposed APIs, and why security teams should treat AI infrastructure as a high-value attack target. Discovered by the Sysdig Threat Research Team, LLMjacking is quickly becoming the AI-era equivalent of cryptojacking — except instead of mining cryptocurrency, attackers run expensive large language models (LLMs) at scale.

Scaling AI Workflows With Proxy Infrastructure

AI workflows require consistent access to diverse data sources to maintain accuracy. How do teams guarantee that their systems do not go dead when rate limits are reached? The scaling of these processes is based on a stable connection layer that eliminates interruptions during retrieval. Writers are likely to have difficulties with their automated scripts triggering blocks on social sites. This article discusses the process of establishing a trustworthy machine learning and automation environment.

The Future is Faceless: Why Stock Footage is Dying in 2026

Remember the last time you searched for "diverse business team laughing at laptop" on a stock footage site? You scrolled past the same forced smiles, the same generic office backgrounds, and the same overacted "eureka" moments that have been circulating for a decade. Then you paid a subscription fee for the privilege of looking like every other brand on the planet. That era is ending. In 2026, stock footage is dying-not because we need fewer visuals, but because creators have finally found something better: total creative freedom without the cheesy middleman.

Buy vs Build in the Age of AI (Part 1)

A few months ago, I spoke to an engineering manager who proudly told me they had rebuilt their monitoring stack over a long weekend. They’d used AI to scaffold synthetic checks. They’d generated alert logic with dynamic thresholds. They’d then wired everything into Slack and PagerDuty, and built a clean internal dashboard. “It used to take us weeks to prototype something like this,” they said. “Now it’s basically instant.” They weren’t wrong.

Introducing Rocky AI to General Availability

After months of being available in Beta for our app users, Rocky AI is now generally available to all users and plans. Rocky AI is Checkly’s AI agent that works around the clock, 24/7, to make sure your application’s reliability is optimal. In this first release, Rocky AI ships with the ability to run continual Analysis on test and check failures, giving your teams AI-powered root cause analysis, impact analysis, and more.