Sunday, October 28, 2012

MobiSecure Validated by NIST

Diversinet’s MobiSecure® is the first mHealth platform to receive the Federal Information Processing Standards (FIPS) 140-2 validation by NIST after undergoing a rigorous testing program administered by NIST and the Communications Security Establishment Canada.

The FIPS 140-2 validation, a recognized North American standard for proper use of encryption, is required for use in U.S. and Canadian government communications systems to protect sensitive data.

This certification validates the security technology underpinning the company’s mobile health platform. This certification means that Diversinet’s mHealth solutions will not only exceed HIPAA requirements but also be future-proofed for years to come.

“FIPS 140-2 validation of our technology is a milestone not only for Diversinet but also for the mobile health industry,” said Dr. Hon Pak, Diversinet CEO. Pak added “The FIPS seal of approval demonstrates how Diversinet is leading the trend toward greater exchange and protection of personal health information fueled by increasing smartphone, tablet usage, and the popularity of bring-your-own-device or BYOD policies.

Today, government efforts are being made to protect personal health information as more and more mHealth solutions are adopted. In September, in a recent move toward higher security standards, the HIT Policy Committee advising HHS, called for requiring multi-factor authentication for applications involving remote access to patient information. If approved, this requirement will take effect in 2015 with Stage 3 of the HITECH Act’s meaningful use incentive program.

Also, Diversinet just announced that their MobiSecure mobile platform has 36 new features in its 4.5 version. New MobiSecure features include autonomous alerts, app wakeup, and remote data wipe. As Dr. Hon Pak explained, “We listened to the market and added significant features to help our customers innovate rapidly with mobile applications while overcoming concerns about protecting personal data.”

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