Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Explore how Elastic Security's unified platform with SIEM and XDR protections transforms SOC workflows through AI-powered analytics and consolidated security operations. Elastic Security Director of Product Management James Spiteri recently joined cybersecurity researcher, educator, and content creator John Hammond for an in-depth technical demonstration. John spends his days analyzing malware, breaking down attacker techniques, and making hackers earn their access.

The cybersecurity perimeter is gone. In its place, a far more resilient framework has emerged: Zero Trust Networking (ZTN). This security model assumes no transaction is automatically permitted. Every connection, request, and data flow must be verified continuously. Learn how Elastic and Gigamon Application Metadata Intelligence (AMI) enable a security posture built on constant verification, rapid response, and adaptive trust.

Advanced AI-supported threat detection for faster MTTD and MTTR The Ministry of Defence (MoD)’s own assessments describe an unacceptable cyber risk position amid an escalating wave of malicious cyber activity1 — a sobering reality for defence security operations centre (SOC) managers With the risk of cyber attack among the highest managed by the Defence Board2, the pressure on security teams is growing. SOC teams must detect sophisticated cyber threats before they cause damage.

Elastic Defend delivers endpoint protection for macOS Tahoe 26 from the moment it’s released, ensuring your macOS fleet stays secure without delay. Apple macOS Tahoe 26 raises the bar on performance, usability, and security. Elastic Security is ready on day one, giving organizations the confidence to roll out new machines, upgrade existing devices, or evaluate macOS Tahoe 26 for future deployments without delay.

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).