Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Industries, governments, and enterprises of all kinds have adopted large language models (LLMs) and generative AI (GenAI) into their operations and workflows, unlocking new possibilities for everything from customer interaction to complex data analysis. But with this innovation comes new challenges for security, observability, and data science teams.

Learn to create custom detection rules in Elastic Security following real detection use cases. This blog will guide you through creating custom detection rules in Elastic Security, equipping you with best practices for using Elasticsearch Query Language (ES|QL) and Elastic AI Assistant to refine threat detection logic and add crucial context for analysts. You’ll learn how to effectively preview, test, and enhance your rules, ultimately strengthening your security operations.

Strategic collaboration to advance security information and event management (SIEM) integration specifically tailored for the US federal government's Zero Trust architecture Elastic is proud to be officially recognized as an AWS Zero Trust for Government partner and for onboarding into the AWS Zero Trust Accelerator for Government (ZTAG) program in the US.

Why unifying fraud, security, and compliance functions is key to resilience, trust, and agility in the age of AI-powered financial crime.

AI-powered triage, faster insights, and the headspace your analysts need If you’re a security leader or analyst within the defence space, you likely brace yourself for a daily battle with alert overload — and you’re not alone. Analysts face a relentless flood of notifications with the majority turning out to be false positives. Studies show that 71% of SOC personnel1 experience burnout and report feeling overwhelmed by alert volume.

Security teams face a daunting mix of relentless alerts, complex investigations, and limited resources. It’s not just about detecting threats; it's also about responding quickly and efficiently. Elastic Security has long provided prebuilt capabilities for detection, investigation, and response. But what really sets Elastic apart is its open, API-first approach that gives you the power to build and automate specific workflows at your security operations center (SOC).

Free your analysts to focus on what really matters: security outcomes. Security teams in the UK Ministry of Defence (MOD) are facing a dual burden: the growing volume and sophistication of cyber threats and the relentless operational grind of triaging alerts, managing compliance, and stitching together intelligence from fragmented systems. The reality is clear: Traditional security operations center (SOC) workflows aren't built for today’s pace and quantity of threats.

Security teams often find themselves having to put out the immediate fires in front of them, but this comes at the expense of implementing a more methodical risk reduction strategy. Attack surfaces are expanding, and new risks emerge with new tech. Modern security operations center (SOC) teams are drowning in alerts, stretched thin by talent shortages, and racing to stay ahead of increasingly sophisticated adversaries.

It’s also its greatest defense The biggest threat in our rapidly evolving cybersecurity landscape is artificial intelligence (AI).1 It’s also our greatest defense. Cybersecurity is a high-stakes game where everything is on the line and decisions have to be made fast. For years, cybersecurity strategy has been about increasing visibility to make informed decisions from vast amounts of data.

A security operations center (SOC) leader is the point person for an organization’s security operations. They run a team of security analysts, engineers, and other specialists. But what exactly do they do on a day-to-day basis? As the person managing the organization’s cybersecurity hub, the SOC leader has to navigate all the complexities that come with it.