Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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).