Data classification is the classification of data based on its level of sensitivity and the impact to an organization should that data be disclosed, altered, or destroyed without authorization. With more data being created in and sent to the cloud every day, it is more important than ever to have a set of consistent data loss prevention (DLP) policies to protect that data everywhere it lives, from the cloud to corporate endpoints, networks, and even unmanaged devices. To foster transportation innovation, public organizations should consider establishing open data standards, privacy provisions, and data exchanges to serve as a repository for public and private sector data sets.

Secure Privacy

Compliance solutions that are hard to implement or use substantially increase the risk of inappropriate sharing and data breaches. Sharing data in a multi-owner manner while preserving data and identity privacy for an untrusted cloud remains a challenging issue, with measures unfortunately rarely providing meaningful protection for either the information or the service and only hardware being truly secure.

Accessible Risk

At the focal point of data risk is helping your organization to build secure and flexible risk management programs that are centered around their critical data and providing a comprehensive answer to the risks surrounding malicious cyber threats, data privacy, and security challenges like shifting compliance mandates, complex system implementation initiatives, and changing organizational policy and procedures on the safe handling of personal information. Personally identifiable information (PII) is any information that can be used to identify, contact, or locate an individual, either alone or combined with other easily accessible sources.

Availability Information

As analytics and data become daily aspects of organizational life, there is an increased need to understand that any data left unexplored is an opportunity lost and may lead to a potential security risk. Risk maps provide high quality information and tools to better assess potential risk and develop plans to take action and reduce/mitigate risk. Information security can be defined as the means of protecting data and information systems from any unauthorized access, use, disclosure, modification, or destruction, with the eventual goal of protecting the confidentiality, reliability, and availability of information.

Risky Services

Every day, organizations are trusted with the personal and highly private information of their customers, which makes having an effective security policy which is executed as planned an extremely important aspect of day-to-day business. Big data is a great quantity of diverse information that arrives in increasing volumes and with ever-higher velocity. While it can be a challenge for businesses to monitor and prevent all risky employee activity, your organization should aim to create an enterprise-wide policy regarding the use of cloud services and file sharing.

Collected Consumer

Data privacy risk is essential to enabling the early intervention and preventative work, safeguarding and promoting welfare, and ensuring wider public protection through thoughtful regulation and increased consumer choice. A firm privacy policy must, among other things, identify the categories of personally identifiable information collected about site visitors and the categories of third parties with whom an operator may share information.

Want to check how your Data Privacy Risk Processes are performing? You don’t know what you don’t know. Find out with our Data Privacy Risk Self Assessment Toolkit: