Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Breaking the Mold: Why Differentiation Matters in the SIEM Market

As I celebrate my first year as head of product management at Graylog, I’ve had the unique privilege of re-immersing myself in the world of Security Information and Event Management (SIEM) from a new perspective. The past year has underscored one critical lesson: staying competitive in SIEM isn’t about adding features; it’s about finding fresh approaches to meet the real needs of security teams.

Best Practices for Writing an IT Security Incident Report

Everyone remembers that one required writing class they needed to take. If you’re like a lot of other security analysts, you assumed that your job would focus on using technology, not writing research papers. However, in today’s business environment, cyber incidents are critical business events, especially as governments and agencies create more reporting requirements.

Cross-Site Request Forgery Cheat Sheet

“Aren’t you a little short for a Stormtrooper?” In this iconic Star Wars moment, Princess Leia lazily responds to Luke Skywalker, disguised as one of her Stormtrooper captors and using authentication information to open her cell. In other words, Star Wars acts as an analogy for a cross-site request forgery (CSRF) attack. In a CSRF attack, malicious actors use social engineering so that end-users will give them a way to “hide” in their authenticated session.

What is a Cross-Site Scripting Attack

Cross-site scripting attacks are the digital version of the mystery trope where people inject IV lines with hazardous material. In the murder mystery genre, these crimes often focus on someone who looks legitimate, sneaking malicious material into someone’s medicine to harm the patient. Similarly, a cross-site scripting attack is when a threat actor sneaks malicious code into someone’s application to harm end users.

Introducing Graylog 6.1: A Monster Release Just in Time for Halloween

It’s no coincidence that Graylog 6.1 is making its debut right before Halloween. This release is a true behemoth, designed to tackle some of the longest-standing and most challenging issues in Security Event and Information Management (SIEM). Packed with innovations, Graylog 6.1 is here to change the game.

Assessing and Prioritizing Risk in Your Infrastructure

There are lots of hurdles to jump when trying to set up and maintain a SIEM. Preparing infrastructure and installing the software components, getting logs ingested into the system, parsing and normalizing those log messages properly, configuring alerts for detection, etc. These are all large tasks that require thoughtful planning and a lot of work to get right. But let’s say you’ve managed to clear all those hurdles…in that case, great job!!

What is NIST 800-53?

Imagine compliance is like a driving application. You know your location and you plug in the destination address, then it shows you the route’s overview. If you want a more specific map, you can zoom in a bit and get more details. Similarly, the National Institute of Standards and Technology (NIST) Cybersecurity Framework (CSF) and it’s most recent revision provide the overview roadmap for your compliance journey.

Logs in a SIEM: The Liquid Gold of Cybersecurity

Devices, applications, and systems logs are needed to detect, analyze, and mitigate cybersecurity threats. Logs in a SIEM are like gold; they are both valuable. Gold is part of the economy, and logs are part of the IT ecosystem and are the foundation for cybersecurity. Here’s why they compare to liquid gold!

Optimizing SIEM TCO: Smart Data Management Strategies

Let’s talk about a less discussed but critical aspect of Security Information and Event Management (SIEM) – data management. While the primary goals of SIEM include threat detection, regulatory compliance, and swift response, the backbone of these systems is log message ingestion and storage. The amount of machine data generated from various systems, applications, and security tools is staggering. Storing and processing this data can be costly and inefficient.