Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Elastic’s piped query language, ES|QL, brings joins to the party Threat hunters rejoice! Have you been looking for a way to join data with the speed and power of Elastic? Well, we heard you! Elastic can now join data sources with a new function for the piped query language, ES|QL (Elasticsearch Query Language). This will enable robust searches that range from advanced behavior detections to alert triage and of course, threat hunting.

What does it really mean to have a SIEM Without Compromise? For too long, security teams have been stuck in a no-win game—forced to choose between visibility and cost, detection breadth and team capacity, automation, and control. Every decision felt like a trade-off, with real-world consequences: dropped logs, missed alerts, and inconsistent response when it mattered most. With the Spring ’25 release of Graylog Security 6.2, we’re eliminating those compromises.

CrowdStrike is launching new innovations to power the AI-native security operations center (SOC) and help teams hunt and resolve threats with speed and accuracy. A new solution, CrowdStrike Falcon Adversary OverWatch Next-Gen SIEM, will bring managed threat hunting to available third-party data and extend the visibility of CrowdStrike’s elite threat hunters into unmanaged attack surfaces.

Security operations and large-scale conferences have more in common than you'd think: too much noise, too many tools, and insufficient clarity. Both can leave you overwhelmed with information as you sort through one acronym or bold claim after another, only to end up with more questions than answers. RSA Conference is no exception. Booths are packed with AI promises and buzzwords, but there’s little visibility into how anything works.

Financial services can’t rely on manual review alone. Discover how unified data and explainable AI are helping firms detect risk, reduce cost, and stay ahead of evolving regulations. Financial services organizations are drowning in data. From emails and Bloomberg chats to WhatsApp messages and calls, the need to review communications data to detect potential misconduct and financial crime by employees and third parties is a mandated regulatory requirement for compliance and risk teams in 2025.

Security operations centers (SOCs) are under constant pressure to keep their organizations secure, while battling alert fatigue, tool sprawl, and ever-rising demands for speed and precision. Analysts today face an overwhelming landscape where context is thin, telemetry is inconsistent, and critical signals are buried in noise. At Corelight, we’re focused on one simple idea: Your network evidence should work wherever your SOC team does.

The 2025 State of Detection Engineering at Elastic explores how we create, maintain, and assess our SIEM and EDR rulesets. Today, Elastic Security Labs is releasing the 2025 State of Detection Engineering at Elastic! This brand new report is the first of its kind — we’re pulling back the curtain on our Detection Engineering practices, going beyond the traditional survey-style State of Detection Engineering report.

When an EDR tool generates too much endpoint telemetry, security teams quickly run into problems. Mountains of process events, network connections, and file operations can overwhelm analysts, making it harder to spot real threats in the noise. High data volumes drive up storage costs, slow down searches, and contribute to alert fatigue — leading to longer investigation times and potential blind spots.

When Amazon Web Services (AWS) initially launched in 2006, it offered the first compute, storage, and database cloud service that developers could build on. Over time, AWS became a fundamental cloud service provider as organizations started migrating to the cloud. As one of the three primary cloud services providers, AWS remains integral to most businesses.

A guide to aligning with SEBI’s CSCRF using Elastic's integrated security and observability capabilities Financial institutions in India are preparing for a new era of cybersecurity compliance with the Securities and Exchange Board of India’s (SEBI) Cybersecurity and Cyber Resilience Framework (CSCRF).

Stealthy adversaries continually exploit system utilities to execute malicious code. A particularly potent and frequently misused tactic is MITRE ATT&CK T1059 - Command and Scripting Interpreter, wherein attackers harness built-in interpreters like PowerShell, Bash, Python, or JavaScript to run arbitrary commands.

A practical guide for chief AI officers and technology leaders implementing federal AI governance The US Office of Management and Budget's recent memoranda — M-25-21, "Accelerating Federal Use of AI through Innovation, Governance, and Public Trust," and M-25-22, "Driving Efficient Acquisition of Artificial Intelligence in Government" — establish comprehensive frameworks for federal agencies that implement AI systems while maintaining appropriate safeguards.

Customizing and updating prebuilt SIEM detection rules just got easier, improving precision, enabling broader coverage, and saving time. Customizing and updating prebuilt detection rules is now easier than ever with Elastic Security. We’ve streamlined detection engineering workflows and enabled greater use case coverage with out-of-the-box SIEM detection rules.

Log management becomes more challenging as both log volume and diversity rapidly grow. Yet many companies still rely on legacy log management and SIEM solutions that aren’t designed to cost-effectively or securely handle the large scale of logs today coming from sources both in the cloud and on premises.

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.