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Best Practices for Creating Custom Detection Rules With Datadog Cloud SIEM | Datadog

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In Part 1 of this series, we talked about some challenges with building sufficient coverage for detecting security threats. We also discussed how telemetry sources like logs are invaluable for detecting potential threats to your environment because they provide crucial details about who is accessing service resources, why they are accessing them, and whether any changes have been made. But in large-scale environments that generate a considerable number of logs, you can easily overlook signs that your application is compromised without adequate security coverage. Datadog Cloud SIEM already provides an extensive set of out-of-the-box (OOTB) detection rules to help you efficiently cover the majority of threat scenarios. But we also enable you to build log-based detection rules that are based on your unique business cases and automatically identify malicious activity, so you can cut through the noise and mitigate threats before they become more serious. In this post, we’ll walk through som

Best practices for creating custom detection rules with Datadog Cloud SIEM | Datadog Datadog named a Leader in the Gartner® Magic Quadrant™ for Observability Platforms Leader in the Gartner® Magic Quadrant™ 30; }, handleResize() { if (window.innerWidth >= 1024) { this.mobileOpen = false; this.dropdownOpen = 'none'; } }, checkAnnouncementBanner() { const announcementBanner = document.querySelector('.announcement-banner') || document.querySelector('.announcement-banner--large'); if (announcementBanner) { this.hasAnnouncementBanner = true; } else { this.hasAnnouncementBanner = false; } } }" x-ini

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