Although a business appears to make every effort to protect its assets, there is still no security guarantee. Hackers being fully aware of this uncertainty, tend to take complete advantage by tricking users or bypassing restrictions of the technology products in use, allowing them to acquire complete access. Such perils have given rise to the necessity of having a proactive approach towards cyber security to identify, prepare and respond to events.

The goal of every cybersecurity strategy is to stop cyberthreats before they have a material impact. This has resulted in many organizations seeking to be more proactive in their response to potential threats by employing solutions to detect and prevent specific types of cyberattacks by monitoring for the earliest indicators of attacks found within network traffic.

Detecting the threat after collecting the right data is the first step. From there, the impact of the threat really matters; otherwise, security teams may be chasing after too many issues.

Security Information and Event Management (SIEM) in the cybersecurity domain started out as a compliance tool but has now evolved into an advanced threat detection platform for organisations. During the development journey of SIEM tools, there was a brief period when it was considered that SIEM is ‘dead’ but it was not because of the absence of the need for it but because SIEM's fundamental capabilities needed an upgrade.

Implementing AWS threat detection with Sysdig Secure takes just a few minutes. Discover how to improve the security of your cloud infrastructure using AWS CloudTrail and Sysdig Cloud Connector. With the rise of microservices and DevOps practices, a new level of dangerous actors threatens the cloud environment that governs all of your infrastructure. A malicious or inattentive cloud API request could have a sizable impact on availability, performance, and last but not least, billing.

Detection engineering at Elastic is both a set of reliable principles — or methodologies — and a collection of effective tools. In this series, we’ll share some of the foundational concepts that we’ve discovered over time to deliver resilient detection logic. In this blog post, we will share a concept we call stateful detection and explain why it's important for detection.

Big data is revolutionizing fleet management — specifically in the form of telematics. From engine diagnostics that track fuel efficiency and mileage to sensors that detect aggressive driving behavior and interior vehicle activity, this information is so valuable that we’re quickly approaching the point where connected technology will come standard in every vehicle. Telematics is an operational goldmine.

For most practical uses today, a combination of hardening and vulnerability detection is required to secure even the most basic digital environment. In each area it is important to see the progress you’re making in these competencies so that you can improve and build on the work you and your team have done over time. But with so many assets in your digital environment, how do you score the effectiveness of these security measures?