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Datadog
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Explore how Datadog is built to enable efficient security engineering, allowing teams to version, test, deploy, and rollback changes safely and efficiently. The result is a more resilient, consistent, and scalable security program that aligns with modern CI/CD workflows.
Security teams can no longer afford to manually manage detection suites that are enterprise-ready and flexible enough to adapt to changing threat landscapes. By applying software engineering principles to security detections, teams can enforce standards, eliminate configuration drift, and manage detections from a single source of truth. In this webinar we’ll deep dive into how security teams can implement a detections-as-code model in Datadog to build, manage, and operate large-scale detection programs.
Security teams can no longer afford to manually manage detection suites that are enterprise-ready and flexible enough to adapt to changing threat landscapes. By applying software engineering principles to security detections, teams can enforce standards, eliminate configuration drift, and manage detections from a single source of truth. In this webinar we’ll deep dive into how security teams can implement a detections-as-code model in Datadog to build, manage, and operate large-scale detection programs.
Security teams can no longer afford to manually manage detection suites that are enterprise-ready and flexible enough to adapt to changing threat landscapes. By applying software engineering principles to security detections, teams can enforce standards, eliminate configuration drift, and manage detections from a single source of truth. In this webinar we’ll deep dive into how security teams can implement a detections-as-code model in Datadog to build, manage, and operate large-scale detection programs.
Security teams can no longer afford to manually manage detection suites that are enterprise-ready and flexible enough to adapt to changing threat landscapes. By applying software engineering principles to security detections, teams can enforce standards, eliminate configuration drift, and manage detections from a single source of truth. In this webinar we’ll deep dive into how security teams can implement a detections-as-code model in Datadog to build, manage, and operate large-scale detection programs.
Managed Datadog offers a fully managed, hands-on-keys solution to manage the health of the Datadog platform, audit costs, reduce mean time to resolution (MTTR), and automatically detect security vulnerabilities.
Security teams can no longer afford to manually manage detection suites that are enterprise-ready and flexible enough to adapt to changing threat landscapes. By applying software engineering principles to security detections, teams can enforce standards, eliminate configuration drift, and manage detections from a single source of truth. In this webinar we’ll deep dive into how security teams can implement a detections-as-code model in Datadog to build, manage, and operate large-scale detection programs.
Security teams can no longer afford to manually manage detection suites that are enterprise-ready and flexible enough to adapt to changing threat landscapes. By applying software engineering principles to security detections, teams can enforce standards, eliminate configuration drift, and manage detections from a single source of truth. In this webinar we’ll deep dive into how security teams can implement a detections-as-code model in Datadog to build, manage, and operate large-scale detection programs.
