Examples of restricted data might include proprietary information or research and data protected by state and federal regulations. Restricted data: Restricted data includes data that, if compromised or accessed without authorization, which could lead to criminal charges and massive legal fines or cause irreparable damage to the company.Usually, confidential data is protected by laws like HIPAA and the PCI DSS. Types of confidential data might include Social Security numbers, cardholder data, M&A documents, and more. Confidential data: Access to confidential data requires specific authorization and/or clearance.This might include internal-only memos or other communications, business plans, etc. Internal-only data: This type of data is strictly accessible to internal company personnel or internal employees who are granted access.An example might be first and last names, job descriptions, or press releases. It can be freely used, reused, and redistributed without repercussions. Public data: This type of data is freely accessible to the public (i.e.Let’s look at examples for each of those. Typically, there are four classifications for data: public, internal-only, confidential, and restricted. What is the level of sensitivity of the data?ĭepending on the sensitivity of the data an organization holds, there needs to be different levels of classification, which determines a number of things, including who has access to that data and how long the data needs to be retained.What data does your organization create?.What data does your organization collect from customers and vendors?.Regardless of the type of data, though there are a few key considerations to make when classifying data, including: For financial services organizations, this could be CHD, PINs, credit scores, payment history, or loan information. For healthcare organizations, this could be PHI such as patient names, dates of birth, Social Security numbers, medical data and histories, or prescription information. How to Classify Dataĭetermining how to classify your data will depend on your industry and the type of data your organization collects, uses, stores, processes, and transmits. With well over 5,000 data breaches occurring in 2019 alone, including more than 8 billion pieces of data compromised, classifying your data is essential if you want to know how to secure it and prevent security incidents at your organization. Knowing how to classify data is critical given today’s advancing cyber threats. Classifying Data: Why It’s Important and How To Do Itīy Sarah Harvey / March 18th, 2020 Why is Classifying Data Necessary?
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