Last month, we hosted a webinar, Hunting for persistence using Elastic Security, where we examined some techniques that attackers use in the wild to maintain presence in their victim’s environment. In this two-part blog series, we’ll share the details of what was covered during our webinar with the goal of helping security practitioners improve their visibility of these offensive persistence techniques and help to undermine the efficacy of these attacks against their organization.

This is the third and final post of a three-part series on understanding kernel extension frameworks for Mac systems. In part 1, we reviewed the existing kernel extension frameworks and the information that these frameworks can provide. In part 2 we covered techniques that could be used in kernel to gather even more details on system events. In this post, we will go into the new EndpointSecurity and SystemExtensions frameworks.

A new cyberattack occurs roughly every 39 seconds. Each of these attacks leaves behind a variety of evidence, including IP addresses, log events and malicious files. This evidence can be incredibly valuable to security teams but only if it’s analyzed and placed in context. There is simply too much attack data from too many sources to be useful when data is in a raw format. Threat intelligence is the solution for making raw data actionable.

When it comes to having visibility and detecting threats on macOS, one of the best sources of information for file system events, process events, and network events is the kernel. MacOS kernel extensions provide the ability to receive data about these events in real time with great detail. This is good for providing quick visibility into detecting anomalies and identifying possible threats.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we explore how cyber threat intelligence can aid organizations. Enterprises often end up spending a great deal of money on monitoring and wiring their perimeter with defensive security solutions. But is merely incorporating security solutions like firewalls, antivirus software, intrusion detection systems, web filtering, and encryption enough?

Signal Sciences is proud to announce our integration with the Datadog platform. This integration furthers our mission of producing the leading application security offering that empowers operations and development teams to proactively see and respond to web attacks—wherever and however they deploy their apps, APIs, and microservices.

In this post, I will describe in detail how to use the Threat Intelligence plugin that ships with Graylog. I’ll start with the steps necessary to prepare your data, then explain how to activate the feature and how to configure it for use.

IT management has become a department that exists in every business ecosystem, irrespective of verticals. Those who are responsible for taking care of IT management need to work around the clock to secure and maintain servers, computers, smartphones, tablets, iPads, IoT devices, virtual machines, and more. The technician alone is like a modern puppeteer controlling and manipulating all these devices from one, central location in a unified way.

As the threat landscape continues to expand, having end-to-end visibility across your modern application stack and cloud infrastructures is crucial. Customers cannot afford to have blind spots in their environment and that includes data being ingested from third-party tools.