Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Latest Videos

Datadog on the Lifecycle of Threats and Vulnerabilities

The security industry is full of complex terminology like threat, vulnerability, and mitigations. Definitions matter as we design processes that scale. At Datadog, the Security Research functions are focused on detection and response to specific types of threats and vulnerabilities. Workload vulnerabilities, cloud control plane vulnerabilities, and even cloud service provider vulnerabilities. Each security finding based on specific risk indicators needs to be addressed differently at Datadog and in our communications to the broader community.

This Month in Datadog: Cloud Security Controls Ruleset, New Test Coverage Page, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we put the Spotlight on Cloud Cost Management.

This Month in Datadog: Cloud SIEM Investigator, API Catalog, Expanded AWS Coverage, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. This month, we put the Spotlight on Universal Service Monitoring..

How Firstup extends security organizational wide with Datadog and AWS

n this video, learn how Datadog’s integrated solutions can increase visibility and improve collaboration between DevOps and security teams in real time. In this session, you will learn how Chad Upton, Vice President of Infrastructure at Firstup, uses Datadog Cloud Security Management to bring together cloud security and observability to enable their engineers to continuously maintain security and compliance best practices across their AWS assets. You’ll also get the chance to hear from Ray Zaman, Solutions Architect at AWS, on how to easily surface and remediate misconfigurations of your AWS environment with Cloud Security Management.

Datadog Cloud Security Management Demo

Datadog Cloud Security Management provides security context for your observability data to help you quickly identify threats and misconfigurations across your infrastructure. In this demo, we show you how Cloud Security Management allows you to remediate threats, collaborate with other teams, and declare incidents for further investigation, giving you complete cloud-native application protection.

Dash Panel Discussion: Foundations of Security and Leadership at Scale

As businesses have modernized and migrated their tech stacks from on-prem to the cloud and broken down monoliths into microservices, security teams have had to evolve. This evolution has led to new tools and new practices to avoid incidents. In this panel moderated by Datadog’s Andrew Krug, we chat with security engineering leaders about the processes they’ve adopted or created to keep modern, distributed systems safe. We also discuss what organizations can do to keep ahead of threats as our systems keep advancing.

Datadog on Web Security Standards

Modern web applications are incredibly complex. Frameworks, javascript, and dependency management have made understanding and maintaining a baseline security standard maximum difficulty. With attack vectors like those listed in the OWASP Top 10 it can be incredibly difficult to know where to start and what the metrics for success are. Every web browser today supports a variety of "secure headers". These headers can be served as part of each response from the web server stack and can prevent a variety of common attacks. Perhaps the most impactful among these is content security policy headers or CSP.

Datadog on Detecting Threats using Network Traffic Flows

At Datadog’s scale, with over 18,000 customers sending trillions of data points per day, analyzing the volume of data coming in can be challenging. One of the largest log sources internally at Datadog are networking logs. Being able to analyze and make sense of them is critical to keep Datadog secure. To help with the task, we have built a flow analysis pipeline that alerts against network level Indicators of Compromise (IOCs) like IP address, port combinations, and data exchanged.