Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Artificial intelligence is rewriting the rules for cybersecurity on both sides of the battle. Cloud adoption, a broadening attack surface, and AI-fueled cyber threats are driving organizations to rethink their approach to security. Discussions on the best way to adapt to a highly dynamic threat environment will naturally steer toward updating SIEM, as it is core to today’s security operations.

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.

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.

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.

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.

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.