LONDON, Nov. 27, 2018
LONDON, Nov. 27, 2018 /PRNewswire/ -- Anonos (www.anonos.com), announced today that Anonos Co-Founder & Chief Executive Officer, Gary LaFever, will be chairing the Governance and Privacy track at this year's FIMA Europe: Europe's Leading Financial Data Management Event with nearly 600 delegates from investment banks, asset management firms and central, retail and challenger banks.
Anonos' state-of-the-art certified BigPrivacy technology overcomes the shortcomings of other solutions that were "good enough" prior to the GDPR but now fail to support new requirements for enabling Big Data value by embedding data protection into data as required under evolving data protection regulations like the GDPR. BigPrivacy technology uniquely maximizes Big Data value by enabling compliant decentralized processing, repurposing, combination, and sharing of Big Data.
"Global organizations are beginning to realize that without new technical and organisational safeguards fundamental GDPR principles of data minimisation, purpose limitation, storage restriction and specificity of consent requirements are in direct conflict with Big Data goals of maximizing data available for use, secondary processing, and retaining data for statistical analysis not described with specificity at the time of data collection," said Gary LaFever, Anonos Co-Founder & Chief Executive Officer. "However, new technical and organisational safeguards that can functionally separate information value from identity enable the discovery of trends and correlations independent from applying the insights gained to the data subjects concerned. Functional separation is critical to defeating unauthorized reidentification of data subjects to enable compliant multi-use case and decentralized processing which are critical for successful Big Data projects."
Anonos' BigPrivacy, the patented Big Data enablement and data protection technology, was recently highlighted in the IDC report entitled "Anonos' SaveYourData — a EuroPrivacy Certified Solution – 'Deep Freezes' Enterprises' Existing Personal Data Sets as They Plan Analytics Strategies," and recognized as a Gartner "Cool Vendor" for state-of-the-art privacy management technology.
FIMA Europe has been helping data managers from Asset Managers and Investment Banks to solve their biggest challenges for over 15 years through interactive discussions and solution sharing, roundtable discussions, workshops and live debates. Anonos Co-Founder & Chief Executive Officer, Gary LaFever, is chairing the Governance and Privacy track at FIMA on November 27, 2018 at the QEII Conference Centre in London.
GDPR REQUIRES STATE-OF-THE-ART DATA PROTECTION
The GDPR and evolving data protection regulations shift the burden of risk for misuse of personal data from individual data subjects to corporate data controllers and processors. This shift in the burden of risk includes an affirmative obligation to use the state-of-the-art in data protection. This is yet another reason why what was "good enough" before May 25th for Big Data analytics, AI and ML is now illegal under the GDPR and evolving data protection regulations.
BigPrivacy patented dynamic pseudonymisation and de-identification technology uniquely:
Anonos BigPrivacy technology overcomes the shortcoming of other solutions that were "good enough" prior to the GDPR but now fail to support new requirements for compliant legal Big Data analytics, AI and ML. A Blueprint for GDPR Data Safe Havens is available at www.anonos.com/blueprint and a Guide for Compliant Legal Analytics is available at www.anonos.com/Legal-Analytics. Compliance controls alone do not unlock Big Data value. Big Data innovation requires embedding BigPrivacy-enabled Data Safe Havens to protect data when in use for lawful Big Data processing. If organizations are not using BigPrivacy-enabled Data Safe Havens, they are not maximizing Big Data value and are not processing Compliant Legal Analytics. Global 500 companies can contact anonos.com/contact to receive a consultation about leveraging Anonos' state-of-the-art technology to maximize the compliant value of Big Data.
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