Machine data analytics is the process of parsing data generated by software from a wide variety of sources including servers, networks, applications and financial records. These, and many other similar sources, produce massive amounts of data including from local operating systems, identity/access management tools, cloud consoles and their associated log files, alerts, scripts and profiles.

Organizations cannot wonder if a data breach will happen — they must prepare for when that day comes. Early detection is key to mitigating an attack when it inevitably occurs, but how can CISOs ensure their teams can sift through all the noise they encounter in the SOC to spot malicious activity? Security information and event management (SIEM) technology can play a critical role in empowering your security team to detect potential indicators of compromise faster.

We wanted to call out some great adjacent research from the team at Sophoslabs Uncut that was released on December 21, 2021. Research groups frequently analyze similar (or in this case, identical) campaigns through their own unique lens. This is fantastic for the security community, as the campaign gets more eyes and different perspectives applied towards the same problem.

Elastic Security engineers have documented a less tedious way to find network beaconing from Cobalt Strike. In their full analysis (), Elastic Security team researchers Andrew Pease, Derek Ditch, and Daniel Stepanic walk users through the Elastic fleet policy, how to collect the beacon, beacon configuration, how to analyze its activity, and how you can set it up in your organization’s environment.

Let me begin by stating the obvious: The cyberattack surface is growing exponentially and diversely. Essentially, it’s a bigger shark and we’ve got the same small boat. The environments, platforms, services, regions and time zones that constitute modern enterprise operations and drive digital transformation for business continue to require increasing specialization and expertise beyond current in-house capabilities.

Elastic Security has verified a new destructive malware targeting Ukraine: Operation Bleeding Bear. Over the weekend, Microsoft released details about this multi-stage and destructive malware campaign that the Ukrainian National Cyber Security Coordination Center has been referring to as Operation Bleeding Bear.

Managing the security of your Amazon Web Services (AWS) environment requires constant vigilance. Your strategy should include identifying potential threats to your environment and proactively monitoring for vulnerabilities and system weaknesses that malicious actors might exploit. In a complex environment—such as your AWS account with a multitude of services, coupled with various architectures and applications—the ideal solution should be both comprehensive and straightforward.

The early stages of an intrusion usually include initial access, execution, persistence, and command-and-control (C2) beaconing. When structured threats use zero-days, these first two stages are often not detected. It can often be challenging and time-consuming to identify persistence mechanisms left by an advanced adversary as we saw in the 2020 SUNBURST supply chain compromise. Could we then have detected SUNBURST in the initial hours or days by finding its C2 beacon?

Following the discovery of Log4Shell, a vulnerability in Log4J2, Elastic released a blog post describing how users of our platform can leverage Elastic Security to help defend their networks. We also released an advisory detailing how Elastic products and users are impacted.

With our recent 7.16 Elastic Security product release, we improved our existing Linux malware feature by adding memory protection. In this blog, brought to you by Elastic’s Engineering Security Team, we lean into this recent advancement to show how we are protecting the world’s data from attack.