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Organizations are challenged to maintain advanced privacy programs, given the pervasiveness of personally identifiable information (PII) deployed across the enterprise combined with expectations around compliance.
This piece explains how to meet the challenge by establishing a risk-based approach that aligns closely with the business.
Privacy programs have several features in common. The most successful programs work to ensure:
Any technologies deployed to support the privacy program should also support decision-making and communication about the efficacy of organizational processes and resources to manage privacy risk. Primary capabilities to consider deploying include:
In addition, organizations may consider AI- and machine learning-based data discovery tools which go beyond just scanning metadata. These tools enable you to:
READ: Data Governance 101: Establish a Solid Foundation
Once the privacy profiles and data discovery capabilities are in place, organizations must implement a privacy framework as a foundation for their program. To get started:
framework. These include:
Companies are challenged with understanding and maintaining a sound privacy program, given the prevalence of data and systems and the range of compliance requirements. To foster success, they must:
Although reasonable efforts will be made to ensure the completeness and accuracy of the information contained in our blog posts, no liability can be accepted by IANS or our Faculty members for the results of any actions taken by individuals or firms in
connection with such information, opinions, or advice.
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