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.

Nearly everyone has had “that cold,” the one where most symptoms have resolved except that lingering cough. The cough can continue for weeks or months, all while you feel mostly well across the board. In cybersecurity, an advanced persistent threat (APT) is your IT environment’s lingering cough, albeit a much more damaging one. An APT stealthily gains initial access to your company’s systems and networks, then hides within them to complete objectives.

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.

SCATTERED SPIDER is a prolific eCrime adversary that has conducted a range of financially motivated activities beginning in early 2022. Since surfacing, this adversary continues to compromise organizations around the world, deploying ransomware and exfiltrating sensitive files.

The question isn’t whether security information and event management (SIEM) is dead. The real question is whether the traditional model of SIEM still serves today’s defenders. Spoiler alert: it doesn’t. Born from compliance needs and static rules, first-generation SIEMs provided log collection and correlation but not context. They buried analysts in noise and left threat detection slow, brittle, and expensive. But that’s changing.

Driving along on a dark highway late at night, you feel a jolt and hear a metallic crushing sound as your car hits an unknown object in the road. You nervously continue on your journey, until you see a bright light flashing on your dashboard. Your oil pressure is low because your car has been leaking oil since you hit that unknown object on the highway. Much like an unknown object in the road that leads to a slow leak, a network vulnerability can lead to a devastating data leakage or breach.

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.

Spotting threats fast and knowing whether they really matter is the name of the game in cybersecurity. That’s where user and entity behavior analytics (UEBA) comes in, and why Sumo Logic’s latest innovation, historic baselining, is a big deal. With this release, Sumo Logic has turned the old UEBA model on its head, delivering insights that used to take weeks of learning time in just minutes. Here’s how and why that’s a game changer.