When Mark Campbell, the chief innovation officer at EVOTEK, asked me to discuss an article he was writing on the quest for mainstream adoption of privacy-preserving analytics, I was thrilled. Privacy-preserving analytics has been a relevant topic for Baffle since 2019 when we were named a Gartner “Cool Vendor.” Three years ago, our mandate was this: Encrypt data in enterprise workflows without disrupting application operation. We make the process to protect sensitive data at the record level, with row or column granularity, without impacting performance and allow comprehensive monitoring of that sensitive data.
We were ahead of the curve.
In his article, recently published in the IEEE Computer Society, Mark discusses the demand for protecting data in use and includes important predictions from Gartner: “By 2025, at least 20% of companies will have a budget for projects that include fully homomorphic encryption, up from less than 1% today, and 60% of large organizations will use one or more privacy-enhancing computation techniques in analytics, business intelligence, or cloud computing.”
Mark recognizes Baffle as one of the select few companies making privacy-preserving analytics a common architectural feature in applications and services. In fact, we are joining forces with the likes of IBM and Microsoft to provide readily-consumable products and services to keep pace with growing data-in-use protection demands.
Baffle currently protects more than 100 billion records for customers in financial services, healthcare, retail, industrial IoT and government, running at scale. And we do so without any perceivable impact on application performance or user experience. Our underlying techniques add only a small percentage to the performance profile and allow databases, data warehouses, ingest pipelines and visualization tools to operate in a “plaintext-free” environment. We view this as a significant change in the data pipeline architecture, with security built in, rather than a security solution that is bolted on. Companies continue to move their data to the cloud, where the data analysis occurs. As such, data is more valuable and more mobile, making its protection a…