Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this episode, we discuss the critical intersection of security and observability within organizations. We highlight the often contentious relationship between security analysts and SREs, emphasizing the importance of fostering a collaborative culture to effectively address incidents. All teams should focus on solutions rather than blame, as user experience is affected by both security and infrastructure issues. We explore how to break down silos, especially in the context of AI security, and encourage cross-disciplinary learning to enhance overall security practices.

See how Datadog Observability Pipelines helps security and operations teams take control of their log data. In this demo, we’ll walk through: With Datadog, you can normalize, enrich, and prepare high-quality log data for Cloud SIEM, supporting faster investigations, more accurate detections, and reduced operational overhead—all without third-party software.

In this video, we’ll walk you through how to get started with the Astra API Security Platform, now enhanced with Observability features. You’ll learn how to: Whether you’re a developer, security engineer, or product leader, this guide will help you quickly set up Astra and gain complete visibility into your API security.

Help keep your logs secure before they leave your environment. In this video, we’ll show you how to use Datadog Observability Pipelines to easily discover, classify, and mange sensitive information—like PCI, PII, or custom patterns—from your logs on-premise to support compliance needs. You’ll learn how to: Whether you’re in DevOps, Security, or Compliance, this workflow helps support your data privacy initiatives without disrupting your existing logging setup.

Let’s face it - you’re struggling with managing massive volumes of telemetry and trying to efficiently optimize against budget. Typical observability pipeline tools only solve part of the problem - they route data but lack real-time detection, automation, and response capabilities. Watch this webinar as we demonstrate how LimaCharlie's security observability pipeline use case goes far beyond traditional solutions. With LimaCharlie, you can normalize any telemetry source into a common format while simultaneously enabling automated detection and response directly from your data streams.

LimaCharlie's SecOps Cloud Platform (SCP) creates a scalable, versatile, and actionable observability pipeline by collecting and standardizing telemetry from the full security stack. Stream data from any input, route it to any output. The SCP provides visibility into telemetry sources and empowers users to create automated responses to actionable events in the pipeline.