Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.