Security News > 2021 > July > Is differential privacy the ideal privacy-enhancing computation technique for your business?

Privacy-enhancing computation is a new breed of technology that enables businesses to process, analyze, and share data without having to expose the underlying data or related algorithms.

Differential privacy is gaining considerable traction across industries to solve the data sharing or intellectual property protection problems.

Even if hackers gain access to data with potentially damaging individual information, differential privacy will make it impossible for bad actors to reverse engineer those data elements and tie them to individuals.

Companies holding sensitive data with PII should explore differential privacy systems to reduce any potential impact when such sensitive data gets exposed.

Any business function dealing with real-time high-performance data processing that relies on high levels of AI model accuracy should consider differential privacy along with other privacy-preserving technologies.

In conjunction with other privacy-enhancing technologies, differential privacy can enable businesses across highly regulated industries to safely tap into their most sensitive data.

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