The following is an excerpt from “The ultimate guide to redaction: What works, what doesn’t,” an industry guide published in the wake of recent high-profile redaction errors and designed to help everyone get redaction right.
We live in the age of big data. Whether it’s the amount of our personal data being collected by businesses and advertisers; the government passing new data privacy laws; or, it’s news about our personal data being stolen as a result of a hack or an inadvertent disclosure—there seems to be no escaping it.
The term big data is a relatively new one, but it refers to the amount of information businesses collect on their customers from a variety of sources; sales transactions, credit card information, social media activity, online behavior, or websites visited. The goal for businesses in collecting big data is so they can get to know their customers better and to sell them goods and services, wherever they are, and on whatever device they use.
While big data brings great insight, it also comes with a high level of risk. Governments around the world have responded to this unprecedented growth in data collection by passing laws aimed at protecting an individual’s personal information and data.
In most cases, companies have to ensure that they have robust processes and systems in place to prevent data leaks in the first place and to inform individuals if a leak has occurred. Severe penalties can be imposed if either of these requirements is not met.
Despite new laws and regulations, we continue to hear and read about data breaches that result in millions of private records and sensitive information being compromised or stolen. Unintentional data leaks account for a significant amount of such breaches. We can break these leaks down into the following categories:
- Missent emails – sending confidential emails to the wrong person.
- Hidden metadata – failure to remove sensitive document or author properties from documents before emailing.
- Improper redaction – sharing confidential documents that have been improperly redacted.
Learn what big data has to do with redaction. Fill out the form to download the complete industry guide.