Financial Services Data Privacy

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A Comprehensive Personal Data Privacy Platform

Privitar delivers a comprehensive personal data privacy platform that allows leading financial services organizations to use personal and sensitive data safely to improve the customer experience, increase product adoption, and to drive new innovative product offerings.

Anti-Money Laundering and Anti-Fraud Datasheet

Security alone is no longer enough to ensure that competing demands of AML/anti-fraud, privacy regulations, corporate policies and brand value are all being achieved. Privitar supports the demanding requirements of AML/anti-fraud analyses and investigations while respecting customer privacy. Learn more in our AML datasheet.

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The Importance of Data is Undisputed

Having efficient access to data-driven insights is especially important in the financial services industry, where the desire to implement data-driven strategies for growth and innovation has been challenged by cumbersome data management practices, decentralized privacy governance, and mounting global privacy compliance regulations. Organizations facing these challenges should look towards systematic and automated data privacy options to accelerate their time to data while preserving it’s utility and protecting privacy.

Addressing The Complex Needs of Financial Services

Financial services organizations have a constantly evolving set of needs from their data assets. These needs range from regulatory requirements like anti-money laundering (AML) and combating the financing of terrorism (CFT) all the way to driving the next best marketing action to take with an engaged customer. These needs require a platform that is capable of addressing requests for data on a contextual basis. The most efficient process and system will enable data owners to define clear rules and privacy policies that align with the data requester’s needs, as well as corporate and regulatory policy.

Privitar Enables Financial Services Organizations

Privitar delivers uncompromised data utility with a configurable, automated method to minimize the risk of data misuse, empowering financial services organizations to more effectively analyze and share insights from their data-gathering efforts.

  • Rich de-Identification
  • Controlled dataset enrichment and linkability
  • Centralized policy management
  • Traceability
  • Auditing capabilities

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