In partnership withRapidScale
At a regional hospital, a cardiac patient’s lab results sit behind layers of encryption, accessible to his surgeon but shielded from those without strictly need-to-know status. Across the street at a credit union, a small business owner anxiously awaits the all-clear for a wire transfer, unaware that fraud detection systems have flagged it for further review.
Such scenarios illustrate how companies in regulated industries juggle competing directives: Move data and process transactions quickly enough to save lives and support livelihoods, but carefully enough to maintain ironclad security and satisfy regulatory scrutiny.

Organizations subject to such oversight walk a fine line every day. And recently, a number of curveballs have thrown off that hard-won equilibrium. Agencies are ramping up oversight thanks to escalating data privacy concerns; insurers are tightening underwriting and requiring controls like MFA and privileged-access governance as a condition of coverage. Meanwhile, the shifting VMware landscape has introduced more complexity for IT teams tasked with planning long-term infrastructure strategies.
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.
This content was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.





















