Category: Machine Learning

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XVigil’s Fake Domain Finder: A Deep-dive on the Acquisition Component and...

Here's how XVigil's Fake Domain Finder framework uses the Acquisition component and crawlers to identify fake domains...

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MongoDB Sharding 101: Creating a Sharded Cluster

In the first part of this 2-part series on sharding on MongoDB, we describe the various concepts...

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How does CloudSEK’s XVigil detect rogue, fake applications

XVigil reported over 2.4L fake apps on popular app stores, infringing on its clients copyrighted materials. How...

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Here’s how we proactively monitor XVigil’s 50+ Machine Learning models

Monitoring ML models is a daunting task and yet indispensable. Here's how CloudSEK deploys and monitors its 50+...

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A peek into the black-box: Debugging deep neural networks for better...

It is imperatvie to develop computational methods to audit and debug complex and opaque ML models that...

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Weaponizing AI to orchestrate cyber attacks

When it comes to cybersecurity, AI is changing how we detect and respond to threats. However, with...

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Hierarchical Attention Neural Networks: New Approaches for Text Classification

We explore recent approaches for text classification that consider document structure as well as sentence-level attention.

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