Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Datadog

Best practices for creating custom detection rules with Datadog Cloud SIEM

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.

Build sufficient security coverage for your cloud environment

In the ever-changing world of cybersecurity, Security Operations Centers (SOCs) are responsible for building comprehensive threat detection strategies for their environments. A key indicator of success for any SOC team is their level of security coverage, which correlates with the breadth, depth, and accuracy of their threat detection tools and workflows.

Datadog Cloud Security Management: Unified Security and Observability

Datadog Cloud Security Management operates across your stack, bringing together security and observability to create an all-in-one solution that equips teams with a shared view of issues so they’re better able to collaboratively secure their environments.

Why T-Connecta Chose Datadog Application Security Management to Reduce Risk

Hear from the Infrastructure Manager at T-Connecta on how Datadog Application Security Management helps him to quickly reduce risk in his environment to prepare for annual penetration tests. See for yourself how Datadog Application Security Management can help you improve your application security by requesting a personalized demo.

Easily ingest and monitor security logs with Cloud SIEM Content Packs

Datadog Cloud SIEM helps customers protect their cloud environment and SaaS applications against threats with built-in threat detection rules, interactive dashboards, workflow blueprints, and in-depth support resources. These capabilities provide valuable insights into your security posture, so you can respond promptly to emerging threats. In order to generate these insights, Cloud SIEM analyzes log data, which users can start sending to Datadog by enabling one of our out-of-the-box integrations.

Visualize activity in your Azure environment with Datadog Cloud SIEM Investigator

Cloud infrastructures can comprise thousands of interconnected and dynamic resources. This complexity introduces unique challenges to monitoring and securing these architectures. Understanding where user activity originates—and what actions constitute security threats—is a complex task when you’re dealing with the huge volume of logs, metrics, and other telemetry that highly distributed cloud environments generate each day.

Automate incident response and security workflows with Blink in the Datadog Marketplace

Security and DevOps engineers often spend a lot of time and effort creating and managing complex, repetitive workflows, such as incident response, honeypotting, recovery and remediation, and more. Blink is a no-code security platform that enables users to create workflow automations, triggers, and self-service apps to streamline processes, better enforce guardrails, and eliminate operational bottlenecks.

How we use Datadog CSM to improve security posture in our cloud infrastructure

In complex cloud environments where the speed of development is accelerated, managing infrastructure and resource configurations can be an overwhelming task—particularly when certifications and compliance frameworks like PCI, HIPAA, and SOC 2 present a lengthy list of requirements. DevOps and engineering teams need to ship code updates at a rapid pace, making it easy for them to accidentally overlook misconfigurations.