Engineering our way

To the world’s fastest, most reliable AI technology

Engineers by choice

At CloudSEK, our engineers aren’t all engineering graduates, but without exception, all of them share a passion for cybersecurity. Whether PHP developer or Machine Learning engineer, they are autodidacts and self-starters. It is their continued pursuit of new technology frontiers that will help us realize our lofty ambition to build the world’s fastest and most reliable AI technology.

Engineering Endeavours

Our engineers are spearheading advances in Machine Learning,
Security, Data Acquisition, and User Experience.

Quickstart Shodan: What is it and how does it work

Security professionals, government agencies trust Shodan to alert them on unmanaged IoT devices. Learn more about Shodan and its working.

With Herbie, humanoid robots are finally here

We delve into the mechanical structure and sensory faculties of the humanoid Herbie, which is a Socially Assistive Robot that is built to assist children with Cerebral Palsy.

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+ different ML models.

bofin-23

CloudSEK is exploring uncharted
Machine Learning frontiers

4 years ago, we started with one ML classification model, and just two sources. Since then, we have grown capable of processing data from 2600+ sources and 30+ task-specific AI models. From document classification to entity linking and relationship extraction, from object detection to semantic segmentation, we have leveraged AI to automate cyber threat intelligence. Deploying state-of-the-art techniques such as Transfer Learning, combined with the recent advances in natural language processing have helped us build AI models that can share learned knowledge between themselves, further enhancing our threat prediction capabilities.

Bofin Babu, VP-AI & Data Engineering

We’re Hiring!

Check out our current openings and see where you fit in.