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Product Advancement


Was able to achieve a 85% prediction of the threats as part of the new proposed machine learning based algorithm for first version roll-out


Customers using the Security product are getting a great view of the Threat landscape and appreciate the learning. They often notice similar threats coming up and patterns.

How can we help customers proactively manage the threats through Predictive framework as against reactively managing the threats via the SOC with the Security analysts.

Sacumen Solution

Analyzed the year long data set for building the patterns of threats that were seen in an environment and developing the severity analysis of them.

Based on this a Machine learning (ML) model was created based on the data set to predict similar types of threats being generated.

The architecture was based on regularly update the model based on quarter data to add to the predictive scope and make it more accurate

Developed scalable processing predictive framework to handle huge volume data

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