Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

December 2024

Detect malicious activity in Google Workspace apps with Datadog Cloud SIEM

Google Workspace is a popular productivity suite, and its broad collection of apps (such as Gmail, Drive, Calendar, and Docs) can give attackers a central point of entry for accessing sensitive and valuable data if they compromise an account. Learning how to identify malicious activity in your Workspace environment enables you to stop threats before they become more serious. In this post, we’ll look at a few ways attackers gain access to and take advantage of Google Workspace.

Resolve Kubernetes Issues Fast + New AWS Monitoring Features! #Kubernetes #CloudSecurity

Tune in to This Month in Datadog to learn about Kubernetes Active Remediation, which enables you to resolve workload issues with contextual next steps, as well as Datadog IaC Security and a trio of new features for monitoring AWS resources.

Add more context to Cloud SIEM detections and investigations with Datadog Reference Tables

A primary goal for security teams is identifying specific threats to their environment, but they often face the daunting task of reviewing vast amounts of log data and alerts. Even with well-crafted detection rules, sifting through irrelevant data to pinpoint essential details for an investigation can be a significant challenge. This not only prolongs investigation times but also increases the risk of overlooking critical information.

Autodiscover Confluent Cloud connectors and easily monitor performance in Data Streams Monitoring

Confluent Cloud is a Kafka–as-a-service solution that simplifies the deployment, scaling, and operation of Kafka clusters. A popular feature is its Apache Kafka connectors, which make it easy to connect your Kafka clusters to any of 120+ third-party streaming data sources and destinations.

Secure your container images with signature verification

The use of version control systems, continuous integration (CI), container services, and other tools in software development have enabled developers to ship code more quickly and efficiently. However, as organizations expand their build and packaging ecosystems, they also increase the number of entry points for malicious code injections that can ultimately make their way to production environments.