Los Angeles, CA, United States of America

Melissa Ailem

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Melissa Ailem. Retrieved from https://idiyas.com/inventor/melissa-ailem

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Melissa Ailem: Inventor in Cybersecurity and Generative AI.

Introduction

Melissa Ailem is an inventor based in Los Angeles, California. Her patent work concerns the use of generative machine learning to identify and mitigate cybersecurity threats.

Latest Patents

Ailem is associated with 1 patent, titled “Security Threat Mitigation.” The patent describes methods and systems for training and using a generative machine learning model to recognize 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. In a cybersecurity setting, a trained model receives a security image and mitigation instruction, recommends an action, and enables that action to be performed on the system. The disclosed approach uses a multimodal generative model and prompt engineering to identify and automatically mitigate security issues.

Career Highlights

Ailem’s listed patent is associated with Microsoft Technology Licensing, LLC. It highlights an application of generative AI to cybersecurity, combining image-based threat analysis with automated mitigation actions.

Collaborations

The provided information lists Muhammed Fatih Bulut and Andrew White Wicker as Ailem’s coworkers. Their specific roles in the patent or related work are not specified.

Conclusion

Melissa Ailem’s patent work focuses on applying generative machine learning to cybersecurity, with the goal of identifying threats and supporting their automated mitigation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…