Revolutionizing Financial Data Security with Inpher’s XOR and Microsoft Confidential Computing
-In the ever-evolving landscape of financial technology, the need for secure and privacy-preserving data sharing is paramount. Financial institutions, particularly banks, are continually seeking advanced solutions to enhance their data analytics capabilities while maintaining stringent data privacy standards. Inpher’s XOR software, combined…
Balancing Insight and Privacy for Data Enrichment
-In today’s data-driven world, organizations face the challenge of harnessing data’s power while safeguarding individual privacy. Traditional data enrichment methods often involve sharing sensitive information with third parties, posing risks to data security and privacy compliance. Inpher XOR presents a revolutionary solution,…
RAG for Advancing AI Security Posture Management (AI-SPM)
-In the first two posts in our series on privacy-enabled retrieval-augmented generation (RAG) for enterprise generative AI, we discussed what RAG is and how it works, as well as its benefits and real-world applications. We also addressed the crucial issue of data…
