Elastic 8.9 introduces the generative AI sidekick, enhanced rule tuning, new lateral detection capabilities, and more! These new features provide security practitioners with advanced detection and analytics, easy to access information, more ways to customize your security investigations, and additional deployment options.

As the world experiences the AI gold rush, organizations are increasingly turning to enterprise AI solutions to gain a competitive edge and unlock new opportunities. However, amid the excitement and potential benefits, one crucial aspect that must not be overlooked is data security — in particular, protecting against adversarial attacks and securing AI models. As businesses embrace the power of AI, they must be vigilant in safeguarding sensitive data to avoid potential disasters.

This blog is the first post of a two-part series. Part 1 talks about the concept of a nation-state and then provides a high-level overview of Locked Shields — the world's largest cybersecurity exercise — and its increasingly important role in promoting cyber warfare readiness for NATO member states and partners. Part 1 also outlines the steps taken by nations to prepare for a cyber warfare exercise.

SIEM (security information and event management) migration is rarely easy. However, when budget constraints, performance issues, or new requirements to further reduce organizational risk lead you down that path, it’s often a good idea to investigate ways to simplify the process. Elastic® and Cribl® have partnered to provide our customers with tools that simplify the process and provide ongoing value to your security operation.

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.

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.

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?

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.

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.

As digitalization becomes a norm, businesses are transitioning to cloud services for increased scalability, cost-effectiveness, and operational efficiency. But this transformation comes with a new challenge — securing the cloud.