Reimagining How Companies Share Data

Brian Mullin is the CEO and Co-founder of Karlsgate. He is also a creator of Karlsgate Identity Exchange, a groundbreaking solution for zero-trust remote data matching and integration. Brian has over 30 years of experience in data privacy and security with leadership roles at companies across the data-driven marketing ecosystem. In this episode… Data is often viewed as binary and categorized as either public or private with the assumption that private data is secure and tightly protected. Companies often rely on firewalls, contracts, and policies to secure data, yet these measures don’t guarantee control once data is shared across multiple platforms and with third-party vendors. Every time data changes hands, the risk of exposure, misuse, or compliance failure increases. So, how can organizations securely share data while minimizing risks and protecting individual identities? To address this challenge, companies can treat sensitive information as a “protected data” category where data is only shared under specific, controlled, and technology-enforced conditions. Rather than trusting third-party data clean rooms to match and analyze data sets, businesses can use Karlsgate’s peer-to-peer privacy-enhancing technology to prevent identity exposure altogether. This allows companies to reduce risk while eliminating the need for persistent IDs like cookies to ensure data set matching occurs without revealing personal information. In this episode of the She Said Privacy/He Said Security Podcast, Jodi and Justin Daniels talk with Brian Mullin, CEO and Co-founder of Karlsgate, about how companies can rethink data sharing with privacy-first tools. Brian discusses the dangers of persistent identifiers and why protected pipelines offer a more scalable and secure solution than traditional data clean rooms. Brian also shares how Karlsgate enables secure data set matching between organizations while eliminating the need to hand over control and explains how organizations can adopt these technologies quickly without adding friction to existing workflows.