Elastic Security 7.9 introduces significant advancements in endpoint security by integrating signatureless malware prevention and kernel-level data collection into the Elastic Agent, enhancing data collection and threat prevention capabilities. The release includes prebuilt cloud protections, new detection rules aligned with the MITRE ATT&CK framework, and machine learning jobs to improve cloud security posture monitoring, addressing misconfiguration risks identified in Verizon’s 2020 DBIR. The update also features community-driven workflow refinements, including threshold-based alerting, building block rule designation, and customizable investigation timeline templates to streamline security operations. Additionally, Elastic Security 7.9 supports new data integrations with Microsoft Defender ATP, Windows PowerShell, and Sophos XG firewalls, among others, and includes enhancements to the user interface to improve analyst efficiency and reduce false positives. The platform ensures consistent task execution with updates to support Elastic Common Schema 1.5, offering expanded data collection and preparation capabilities to support a variety of use cases for security teams.