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The Log4j Log4Shell vulnerability: Overview, detection, and remediation

On December 9, 2021, a critical vulnerability in the popular Log4j Java logging library was disclosed and nicknamed Log4Shell. The vulnerability is tracked as CVE-2021-44228 and is a remote code execution vulnerability that can give an attacker full control of any impacted system. In this blog post, we will: We will also look at how to leverage Datadog to protect your infrastructure and applications.

Obfuscate user data with Session Replay default privacy settings

Session Replay enables you to replay in a video-like format how users interact with your website to help you understand behavioral patterns and save time troubleshooting. Visibility into user sessions, however, can risk exposing sensitive data and raise privacy concerns. For example, a user session may include typing in a credit card or social security number into an input field.

Monitor Google Workspace with Datadog

Google Workspace (formerly G Suite) is a collection of cloud-based productivity and collaboration tools developed by Google. Today, millions of teams use Google Workspace (e.g., Gmail, Drive, Hangouts) to streamline their workflows. Monitoring Google Workspace activity is an essential part of security monitoring and audits, especially if these applications have become tightly integrated with your organization’s data.

Monitor Azure Government with Datadog

Azure Government is a dedicated cloud for public sector organizations that want to leverage Azure’s suite of services in their highly regulated environments. As these organizations migrate their applications to Azure Government, they need to ensure that they can maintain visibility into the status and health of their entire infrastructure.

Build a modern data compliance strategy with Datadog's Sensitive Data Scanner

Within distributed applications, data moves across many loosely connected endpoints, microservices, and teams, making it difficult to know when services are storing—or inadvertently leaking—sensitive data. This is especially true for governance, risk management, and compliance (GRC) or other security teams working for enterprises in highly regulated industries, such as healthcare, banking, insurance, and financial services.

How to detect security threats in your systems' Linux processes

Almost all tasks within a Linux system, whether it’s an application, system daemon, or certain types of user activity, are executed by one or more processes . This means that monitoring processes is key to detecting potentially malicious activity in your systems, such as the creation of unexpected web shells or other utilities.

Detect security threats with anomaly detection rules

Securing your environment requires being able to quickly detect abnormal activity that could represent a threat. But today’s modern cloud infrastructure is large, complex, and can generate vast volumes of logs. This makes it difficult to determine what activity is normal and harder to identify anomalous behavior. Now, in addition to threshold and new term –based Threat Detection Rules , Datadog Security Monitoring provides the ability to create anomaly

Highlights from Black Hat USA 2021

Black Hat USA is one of the industry’s oldest and most well-established security events. Last year, the conference was held virtually for the first time in its history. This year’s conference brought together the best of both worlds, with a hybrid event that was held virtually and in person in Las Vegas. Historically, Black Hat has seen about 20,000 attendees at its in-person conference.

Monitor AWS FSx audit logs with Datadog

Amazon FSx for Windows File Server is a fully managed file storage service built on Windows Server. Migrating on-premise Windows file systems to a managed service like FSx enables organizations to reduce operational overhead and take advantage of the flexibility and scalability of the cloud. But having visibility into file access activity across their environment is key for security and compliance requirements, particularly in sectors such as financial services and healthcare.

Introducing multi-factor authentication in Datadog Synthetic tests

Multi-factor authentication (MFA) is an increasingly popular method for securing user accounts that requires users to provide two or more pieces of identifying information when logging into an application. This information can consist of unique verification links or codes sent to the user’s phone or email address, as well as time-based one-time passwords (TOTPs) generated by authenticator applications or hardware.