Assessing the Risk Of Re-Identification for Privacy Compliance

Presented by

Roberto Cervantes (Marketing @ CryptoNumerics), Hassan Bhatti (Business Development CryptoNumerics)

About this talk

Recent research has revealed the ease at which anonymized data, when combined with other available information, can reveal the identity of an individual. The outcome is non-compliance and therefore, risks of fines and reputational damage. GDPR encourages the use of 'state-of-the-art' technologies when available. In this webinar, you will learn: How to leverage state-of-the-art technologies to assess the risk of re-identification in your datasets automatically How to embed risk scoring into your GDPR and CCPA data compliance assessment processes based on an enterprise-class and consistent approach

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CryptoNumerics, have developed a range of Privacy and Data Science related software solutions including Privacy Automation and Virtual Data Collaboration that fortune 1000 enterprises are deploying to address privacy compliance while still driving data science and innovation projects to obtain greater business and customer insights. CryptoNumerics Privacy Automation will reduce corporate liability and protect brand value from privacy non-compliance exposures.