Anush Sankaran

Title: Anush Sankaran and His Work in Cybersecurity Innovation.

Introduction

Anush Sankaran is an inventor associated with Burnaby, Canada, and Microsoft Technology Licensing, LLC. His patent work focuses on applying generative machine learning to identify and mitigate cybersecurity threats.

Latest Patents

The supplied information lists one patent for Sankaran: “Security Threat Mitigation.” The disclosure describes methods and systems for training a generative machine-learning model to identify indicators of compromise in security images. During training, the model predicts an indicator of compromise, and its parameters are updated based on the difference between its prediction and the ground truth.

The patent also describes using a trained model to recommend cybersecurity mitigation actions. A security image and mitigation instruction are provided to the model, which outputs an action that can then be performed on the system. The approach uses a multimodal generative model and prompt engineering to help identify and automatically address security issues. The listed portfolio comprises 1 patent.

Career Highlights

Sankaran’s listed work connects generative artificial intelligence with practical cybersecurity measures. His patent describes both model training and the use of trained models to support threat mitigation.

Collaborations

The supplied information identifies Microsoft Technology Licensing, LLC as Sankaran’s company and Srisuma Movva as a coworker. These details provide context for the professional setting associated with his patent work.

Conclusion

Anush Sankaran’s listed invention applies multimodal generative machine learning to cybersecurity, with the aim of identifying threats and supporting mitigation actions.