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Elastic

How South Dakota Bureau of Information and Telecommunications deploys Elastic to secure endpoints

The South Dakota Bureau of Information and Telecommunications (BIT) provides quality customer services and partnerships to ensure South Dakota’s IT organization is responsive, reliable, and well-aligned to support the state government’s business needs. The BIT believes that “People should be online, not waiting in line.” The bureau’s goals for the state's 885,000 residents include.

ProblemChild: Generate alerts to detect living-off-the-land attacks

In an earlier blog post, we spoke about building your own ProblemChild framework from scratch in the Elastic Stack to detect living off the land (LOtL) activity. As promised, we have now also released a fully trained detection model, anomaly detection configurations, and detection rules that you can use to get ProblemChild up and running in your environment in a matter of minutes.

Total Economic Impact study: Elastic delivers 10X performance with up to 75% cost savings

Ten times faster at a fraction of the cost. If you want a headline as to why you should consider adopting Elastic for security and observability, that is it. We often work with our customers to help them establish the business value of Elastic within their organizations. We commissioned Forrester to conduct a Total Economic Impact (TEI) study of our security and observability solutions so our customers have an unbiased view that they can share with their internal stakeholders.

How to tune search relevance in Elastic App Search

When users run queries against your search engine, they’re interested in the most relevant documents. Elastic App Search makes it easy to further tune the search experience to optimize for your own needs. In this short video, we’ll show how documents are ranked and how you can change this ranking using intuitive, real-time relevance tuning.

Anomaly Detection on Observability Data using Machine Learning

Machine learning helps detect undesired behaviors in your observability data. This makes it easier to spot performance degradation in your applications, services, or instances. In this video, you'll learn how to automate anomaly detections using machine learning on your observability data.