Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Enhance your threat detection, investigation, and response by integrating Microsoft Defender for Endpoint data with Elastic Security. Many security teams often find it difficult to detect and respond to threats because of fragmented visibility and isolated endpoint data. This challenge led to the development of extended detection and response (XDR), which integrates endpoint insights with contextualized data from networks, cloud environments, and identity systems.

CVE-2025-24813 is a critical vulnerability (CVSS base score of 9.8) affecting Apache Tomcat, a widely used open-source web server and servlet container. This issue affects Apache Tomcat: In this blog, we’ll simulate an attack and look at the activity within Graylog. Throughout the analysis, and at the conclusion of the post, we’ll provide practical threat-hunting and detection strategies you can implement in your own environments.

Security measures aren’t keeping pace with the rate at which new technology is going to market. One of the fastest-growing segments of technology, the Internet of Things (IoT) — which includes webcams, smart thermostats, wearable health trackers, and other smart objects — is capturing the industry’s attention and growing rapidly. By 2030, the number of connected IoT devices is expected to grow to 40 billion.

Quantifying the economic impact of Elastic Security As public sector organizations grapple with a changing economic and political landscape, the focus has increasingly turned to driving efficiencies, reducing costs, and strengthening resiliency.

Thriving organizations maximally allocate resources. With seemingly infinite cybersecurity threats and finite resources, everyone needs to know the size of the threat to determine priority, and where to invest to maximize ROI. Elastic takes a quantified approach to cybersecurity risk management using FAIR to break threat scenarios into (A) likelihood and (B) losses to calculate risk per year, AKA annualized loss expectancy, or in FAIR terms, simply “risk”.

To maintain an effective self-hosted security strategy, security operations centers (SOCs) must invest in advanced tools that provide deep visibility, seamless data integration, and real-time insights. As part of our latest quarterly product release, LogRhythm SIEM 7.20 delivers on these needs with exciting new updates that empower security teams to detect threats faster, analyze larger datasets, and seamlessly integrate data sources.

Imagine a world-class chess grandmaster playing multiple opponents at once—anticipating moves, spotting patterns, and staying steps ahead of every competitor. Now, imagine if that grandmaster had an AI-powered assistant, constantly analyzing past games, predicting threats, and offering guidance in real time. That is what Exabeam is bringing to security operations.

In the high-stakes world of cybersecurity, every detail matters — including the name of the technology designed to uplevel SOC teams to protect their organizations from ever-growing, ever-evolving threats. Naming isn’t just about branding; it’s about capturing purpose, function, and vision.