Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Why AWS indeed. This is not one of those start with why posts, but hopefully a peek into the reasons behind our partnership with AWS and what that means for you and how it could benefit you. The beginnings of something great Public cloud is well established, with about 50% of all workloads now running in a public cloud location. We have heard of ”the big three” cloud providers: AWS, Azure, and Google Cloud.

Build secure cloud-native applications by avoiding the top five security pitfalls we lay out in our Secure Cloud-native Development Series. This blog is the fourth part of the series, and it will teach you why and how to easily enable encryption and save yourself headaches down the road. Here's a new motto: encrypt everything! When securely moving to cloud-native technologies, building encryption in from the start will save us a lot of headaches later.

A post-audit cloud security report is a document that provides an overview of the security status of the cloud environment, infrastructure, and applications of a business. It verifies that vulnerabilities and security flaws have been identified and assessed, and offers recommendations to address these security gaps.

In our interconnected world, the value of data is growing with cyber threats also on the rise. This causes the security and protection of data to become crucial. Organizations have become compelled to adopt strict measures to safeguard their data. Implementing security practices in data protection and encryption ensures the confidentiality, integrity, and availability of the data stored in the cloud.

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.

With expertise in data management, search algorithms, and AI, Google has created a cloud platform that excels in both performance and efficiency. The advanced machine learning, global infrastructure, and comprehensive suite of services available in Google Cloud demonstrates Google’s commitment to innovation. Many companies are leveraging these capabilities to explore new possibilities and achieve remarkable outcomes in the cloud.