Apache Spot Product Architecture Overview

Data Sources - Spot can directly collect netflow data, DNS data and/or proxy data. This data can be collected also from a SIEM or from a common logging server. Additional data types can be collected using Open Data Model. Any number of data sources can be analyzed using Spot. Because most of these data sources represent a large volume of data, most organizations start with the data source that represents the area of highest risk.… Read more »

Strength in Numbers: Why Consider Open Source Cybersecurity Analytics

By Rob Kent, Vice President of Marketing at Cybraics Competition is widely considered to be a healthy and positive thing, traditionally viewed as providing options for customers and fueling innovation. In the world of cybersecurity there is no shortage of competition, in fact cybersecurity is one of the most crowded and fast-growing areas of technology…. Read more »

Jupyter Notebooks for Data Analysis

Why Does Apache Spot Include iPython notebooks? The project team wants Apache Spot to be a versatile tool that can be used by anyone. This means that data scientists and developers need to be able to query and handle the source data to find all the information they need for their decision making. The… Read more »

Apache Spot (Incubating): Three Most-Asked Questions

While this is not the first blog post about Apache Spot, it is the first one by a creator of the solution. As a security data scientist in Intel’s Data Center Group, I joined a small team to start thinking about solving really hard problems in cloud analytics. The team grew, and out of that… Read more »