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The Power of O(1) in Cyber Data

2 min read
March 22, 2022
by David Enga

Threat hunters can't afford to wait around for data. At scale, speed to insight and respective action becomes a query issue.

The more data we have, the longer traditional data platforms take to resolve a query. Cyber professionals simply don't have the time and ability to operate using these methods.

They need new math to index the influx of petabytes of cyber security data for fast, selective query. They need O(1).  

In computer science, Order (1) is known as constant time.  It means an algorithm that doesn't depend on the size of the data. Traditional O(1) algorithms have been limited to key/value search. The beauty of Craxel's breakthrough algorithms is that ALL data types can be indexed in constant time and rapidly searched.

Well, Craxel's Black Forest algorithms equips threat hunters with two unfair advantages:

#1 - Low latency, selective query at petabyte scale:

It's the difference between being a step ahead of your adversaries, and moving too slow to predict and act on a breach.

Cyber data is growing at incredible rates, and this problem will only get worse. Threat hunters need the ability to quickly analyze vast quantities of data about attackers' activities.  

Existing data management techniques simply can’t organize this quantity of data for fast, complex analysis.

With selective query powered by O(1), time to query is significantly decreased. Cyber professionals can now rapidly test inferences and derive insight on very large data sets. They can do this to quickly answer the critical questions needed to take action and to protect your business from attack.

Additionally, cyber security professionals are in high demand and scarce supply. You can't have them waiting around for slow data infrastructures to give them results. There simply isn't the operational bandwidth for that.

Craxel provides the data infrastructure, based on new O(1) algorithms, to do this at amazing speed and scale.

#2 - The ability to rapidly connect the dots:

Connected data is extremely powerful, but traditional methods of connecting the most essential of data points can be too slow to detect and predict attack.

Timely threat hunting and anomaly resolution requires the ability to quickly analyze information from multiple sensors and sources. It also requires you to quickly explore activity across a network.

Graph databases would naturally suit this purpose but can't scale. This is due to it's capability to build relationships, allowing professionals to place attributes against each other to test inferences and derive insight.

Up until now, there hasn't been a software capable of organizing data as graphs with mission critical ingest rates and low latency query. Craxel has solved this problem at petabyte scale with its breakthrough algorithms.

Our Black Forest technology organizes data in a way that makes exploring ALL of this data and activity quick and seamless. Threat hunters and machine algorithms can rapidly get the data they need to protect against, detect, and mitigate cyber attacks.