Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike Falcon OverWatch™ threat hunters frequently uncover security testing activity in the course of routine hunting. While much of this activity can be confidently attributed to planned and sanctioned testing, OverWatch is always careful not to discount a threat on the basis that it looks like a test. Some of the more stealthy adversaries will attempt to evade detection by mimicking or using tools and techniques commonly used by security testers.

For this how-to guide, we’ll walk through how to use the CrowdStrike Falcon LogScale Log Collector to collect and send log events to your CrowdStrike Falcon® LogScale repository. Although the log shipper supports several types of log sources (see the list here), we’ll cover the use case of collecting log events from journald.

CrowdStrike Falcon® LogScale, formerly known as Humio, provides a full range of dashboarding and live query capabilities out of the box. Sometimes, however, you’ll work in an environment where there are other solutions alongside LogScale. For example, let’s say your operations team takes an observability approach that includes metrics scraped by Prometheus, tracing with Jaeger, and dashboard visualizations with Grafana.

The theme for Cybersecurity Awareness Month 2022 is “See Yourself in Cyber.” As Cybersecurity Awareness Month comes to a close, CrowdStrike celebrates the many ways human expertise and technology come together to create a stronger defense against adversaries.

OpenSSL.org has announced that an updated version of its OpenSSL software package (version 3.0.7) will be released on November 1, 2022. This update contains a fix for a yet-to-be-disclosed security issue with a severity rating of “critical” that affects OpenSSL versions above 3.0.0 and below the patched version of 3.0.7, as well as applications with an affected OpenSSL library embedded.

Security is a data problem. One of the most touted benefits of artificial intelligence (AI) and machine learning (ML) is the speed at which they can analyze potentially millions of events and derive patterns out of terabytes of files. Computational technology has progressed to the point where computers can process data millions of times faster than a human could.