When security information and event management (SIEM) tools came to the market over a decade ago, many practitioners considered the combination of information management and event management groundbreaking. Since then, the technology has gone through iterations to improve and enhance its capabilities, including the incorporation of user and entity behavior analytics (UEBA), machine learning and AI capabilities, and “out-of-the-box” configurations for smaller organizations to rely on.

An application’s attack surface is the sum of all the areas of an application which could be attacked by malicious attackers. This includes the application’s APIs, the underlying code, supporting infrastructure, and any other components which could be compromised. The goal for any organization is to reduce the attack surface area by discovering and minimizing potential vulnerabilities.

Security information and event management (SIEM) systems play a pivotal role in cybersecurity: they offer a unified solution for gathering and assessing alerts from a plethora of security tools, network structures, and software applications. Yet, the mere presence of a SIEM isn't a magic bullet. For optimal functionality, SIEM systems must be appropriately set up, governed, and supervised round-the-clock.

In order to help organizations more effectively secure their cloud environments, we are making changes to our Cloud SIEM product. As of December 4, Datadog has introduced a new offering in Cloud SIEM: Cloud SIEM 15-Months Retention, which automatically stores logs for 15 months after ingestion.

GitHub is a mission-critical software development and version control platform that is used to store proprietary source code and other sensitive data. Monitoring logs generated by activity in your GitHub environment can be useful, as unexpected patterns of behavior could indicate attacker activity or insider threats.

In the fast-paced world of cloud-based attacks, staying ahead of the curve with cloud-native security solutions is paramount. Sumo Logic, a leading name in the field, has taken a significant leap forward by embracing AWS Built-in and becoming a launch partner for the AWS Built-in Competency.

Effective threat detection is critical to achieving a mature cybersecurity posture. Yet with so many threat detection options on the market, from managed detection and response (MDR) to managed security service providers (MSSPs) to security information and event management (SIEM), choosing the most effective one for your organization can be challenging.

For as long as I can remember, I have started my day off by reading various security news sites to figure out what I need to be aware of and any new trends that are being spotted. I used to do this on my phone while commuting, and now I work from home, but I still follow this routine, and that got me thinking, why not feed Graylog with this information?

The landscape of cloud computing has evolved significantly over the years, transforming how businesses operate and innovate. This transformation has brought new challenges, especially in security. The growing adoption of cloud services, microservices architecture, and the shared responsibility model of cloud vendors has ushered in a need for robust security solutions that consolidate risk and threat data across cloud environments.