After a long day, you sit down on the couch to watch your favorite episode of I Love Lucy on your chosen streaming platform. You decide on the episode where Lucy can’t keep up with the chocolates on the conveyor belt at the factory where she works. Without realizing it, you’re actually watching an explanation of how the streaming platform – and your security analytics tool – work. Data streaming is the real-time processing and delivery of data.

As digital transformation expands the threat landscape, compliance mandates adapt to meet new challenges. In 2020, the European Commission announced its decision to accelerate its revision of the Directive on Security of Network and Information Systems (NIS2). When carrying out its impact assessment, the Commission realized that it needed to update the NIS Directive in response to new risks.

It’s a warm, sunny day as you lie in the sand under a big umbrella. Suddenly, you feel the waves crashing against your feet, only to look down and see numbers, letters, usernames, and timestamps. You try to stand up, but you feel the tide of big data pulling you under… With a jolt, you wake up, realizing that you were having another nightmare about your security Data Lake and analytics.

Your Domain Name System (DNS) infrastructure enables users to connect to web-based resources by translating everyday language into IP addresses. Imagine going into a restaurant, in the age before the internet, only to find that the staff speaks and the menu is written in a different language from yours. Without some shared communication form, you can’t order dinner, and they can’t give you what you want.

Many organizations today have strict data privacy regulations that they must comply with. These privacy regulations can often clash with the requirements of security, application and operations teams who need detailed log information. This how to guide walks you through redacting message fields for privacy purposes. At Graylog, many of the organizations who use our tool are logging sensitive data that may contain personally identifiable information, health related data or financial data.

Wherever you live, people can find you using either a street address or a set of latitude and longitude numbers. In the digital world, your website’s domain name or URL is the street address while the IP address is the latitude and longitude. For example, it would be cumbersome to tell people that you live at 35°05′17″N 109°48′23″W, but easy to say a number and street name. IP address data is useful for both protective and detective cybersecurity functions.

A recent analysis by JPMorganChase criticized the CVSS scoring process, finding missing context leads to misleading prioritization. When it comes to cybersecurity, patching vulnerabilities often feels like the Holy Grail. Get those CVEs patched, and you’re safe, right? Well, not exactly. As we know, patching isn’t as straightforward—or as effective—as we’d like to believe.

The high volumes of security data that cloud environments generate leave security teams swimming in data, but many feel like they need a life preserver to improve their incident response capabilities. Enter security data lakes. As the costs associated with data retention become overwhelming, organizations are embracing the idea of security data lakes and data warehouses.

Organizations have grappled with the cost-benefit tradeoff of log management and Security Information and Event Management (SIEM) for decades. Do you capture every log at the risk of overwhelming storage, infrastructure, and license costs, or limit your collection and gamble on what’s truly important? The high costs imposed by traditional vendors have dictated Sophie’s choice, forcing enterprises into a game of compromise that risks the entire organization’s security.

If you have ever built a LEGO set, then you have a general idea of how telemetry works. Telemetry starts with individual data points, just like your LEGO build starts with a box of bricks. In complex IT environments, your security telemetry is spread across different technologies and monitoring tools, just like in a large build your LEGO bricks come separated into smaller, individually numbered bags. In both cases, the individual bricks or data points aren’t special.