One of the biggest challenges in stopping data breaches lies in sifting through vast amounts of data to find the proverbial "needle in the haystack" - the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack.
In this context, detecting attacks is often difficult, and sometimes impossible.
Download this whitepaper which describes how:
- This challenge was solved by building a graph data model;
- This graph collects and analyzes extremely large volumes of security-related data and stops breaches;
- This approach applies massive graph-based technologies, similar to the ones developed by Facebook and Google, to detect known and unknown threats.