Privacy Analytics Introduces Risk Assessment Model to Upgrade Data Governance

By CIOReview | Friday, November 6, 2015
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FREMONT, CA: Absence of required skillset for exploring security loopholes can leave corporations unprepared for cyber attacks. Being a step ahead, Privacy Analytics has launched Risk Monitor, a privacy risk assessment solution that helps in tracking, monitoring and controlling risk factors that are associated with data sharing exercise.

The expert-built software identifies hiatus in security infrastructure, existing data masking and de-identification services. The software supports organization in catering uniformity across privacy compliance, with the growing spurt to share high quality data for research, analytics, quality and safety of measurement, monetization, marketing and other commercial purposes.

Risk Monitor leverages on the peer-reviewed algorithms to assess the level of risk exposure for protected health information (PHI) or personally identifiable information (PII) to re-identify data, on the basis of contents and operations across shared data set. The tool enhances privacy evaluation by processing feedbacks and reviews on current de-identification and masking methodologies. The solution hosted on Apache Spark, is a high-performance database agnostic service that yields support to the next-gen Big Data analytic demands.

The technology provides value-added services across healthcare, insurance and financial based enterprises, striving to expand the efficiency of data assets for monitoring insight analytics. Privacy Analytics, is one-of-its-kind solution that operates on baneful de-identification software to safeguard highest level of compliance by using patient and consumer data.

The security model helps organizations curb the inherent threat associated with sharing data by facilitating visibility for executive management and privacy officers into the potentially risk areas through its reporting tool. Now, companies can directly identify privacy data entities to assure the management of risk, even if there are changes in the data sharing platform and context.

With the threat scenario model, organizations can detect the impact of threat variables during the occurrence of any data breaches. The compatibility with all privacy standards such as HIPAA and the EU Data Protection as well as adherence to globally accepted data sharing norms and guidelines ensures integration and sharing of sensitive data.