Mr. Somesh Nagalla

Privacy-Preserving Data and Security Innovation

Abstract:

This work introduces a privacy-preserving data mesh framework for secure, real-time collaboration across multiple agencies. Using homomorphic encryption, it enables computation on sensitive data without exposing raw information, ensuring both confidentiality and regulatory compliance. The approach demonstrates a practical, high-impact solution for secure, AI-driven decision-making in critical environments like disaster response.