Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Latest Posts

How does Elastic Security drive value to your organization?

Introducing the new Elastic Security Value Calculator. With this tool, you can quickly quantify the financial efficiencies Elastic® can deliver for your organization. Estimate Elastic's value to your organization. Visualize how Elastic Security improves KPIs around risk, costs, and productivity. The numbers tell the story: achieving holistic visibility reduces risk, improves productivity, and drives cost savings and revenue recovery.

Transforming defence with Elastic AI and data capabilities

What a time it is for data and the UK Ministry of Defence (MoD), with large language models (LLMs) and artificial intelligence (AI) innovation accelerating at unprecedented speed. How quickly can the MoD take operational advantage of these advancements? Now is the time to unleash the power of data and transform how the MoD approaches cybersecurity to outpace adversaries, gain multi-domain operational efficiency, and of course, attain rapid decision-making superiority.

How to remove PII from your Elastic data in 3 easy steps

Personally identifiable information (PII) compliance is an ever-increasing challenge for any organization. Whether you’re in ecommerce, banking, healthcare, or other fields where data is sensitive, PII may inadvertently be captured and stored. Having structured logs enables quick identification, removal, and protection of sensitive data fields easily; but what about unstructured messages? Or perhaps call center transcriptions?

A modern SIEM for whole-of-state cybersecurity

US state and local government agencies continue to contend with a dizzyingly complex IT environment, which includes data silos, tool sprawl, rising cyber threats, and limited availability of cybersecurity experts. In response, many state CISOs are exploring a “whole-of-state” cybersecurity strategy, which aims to bolster their state’s security through centralization and collaboration.

Elastic's detection rules are still open for business - plus further visibility to data quality

Given the increasing frequency, tempo, and sophistication of cyber attacks, it's more important than ever that organizations take a proactive approach to protecting their sensitive data and assets. One of the most critical elements of effective cybersecurity is openness. An open approach to cybersecurity means being transparent, sharing knowledge, and collaborating to build more robust defenses against threats.

Fortifying data security: 5 features your data store must have

In an era where data is often referred to as the “new oil,” the importance of data security can't be overstated. Breaches can lead to financial losses, reputational damage, and lost trust among customers and stakeholders. One primary step toward mitigating security risks is choosing a data store that has been designed with a robust security framework.

Elastic and AWS - Securing the cloud, together

Elastic is pleased to announce that we have recently achieved the AWS Security Independent Software Vendor (ISV) Competency Partner status with specialization in Threat and Detection Response (SIEM, SOAR, and XDR). This recognition highlights our commitment to providing you, our customers, with advanced security capabilities that can help you protect your sensitive data and applications in the cloud.

Elastic Security 8.8: Powerful endpoint response, alert triage, and data accuracy to bring more efficiency to security

As the volume and complexity of cyber threats continue to increase, security analysts face mounting pressure to protect their organizations from attack with maximum efficiency. Elastic Security 8.8 introduces features designed to help analysts digest, prioritize, and quickly respond to security incidents. These features include the following: Elastic Security 8.8 is available on Elastic Cloud — the only hosted Elasticsearch offering to include all of the new features in this latest release.

AI on offense: Can ChatGPT be used for cyberattacks?

Generative AI models have a long history in artificial intelligence (AI). It all started back in the 1950s with Hidden Markov Models and Gaussian Mixture Models, and it really evolved with the advent of Deep Learning. In the past five years alone, we have gone from models with several millions of parameters to the latest being GPT-4, estimated to have over 100 trillion parameters.