Identify Sensitive Data and Prevent Data Leaks

One of the biggest challenges for IT Security departments is how to take the guesswork out of identifying sensitive data. Organizations generate various types of sensitive data. Regulated data includes traditional PII and PCI data such as social security numbers and credit card numbers that are subject to regulation. McAfee DLP can identify these examples through regular expressions and keywords effectively. Some sensitive content, however, is more difficult to identify as it may not contain known words, patterns or the end users’ context. This high business-impact information is inherently more difficult for DLP solutions to identify.

TITUS Classification and McAfee DLP

Make informed decisions to help prevent data loss

The integration between TITUS Classification for Office software and McAfee DLP further reduces an organization’s risk of data loss by capturing end users' inherent knowledge about the sensitivity of documents and making that explicit information available to McAfee host and network-based DLP in the form of visual classification labels and corresponding metadata. Enabling users to identify information sensitivity ensures an organization does not have to rely solely on automated content scanning to determine what is sensitive. The originator, who knows the content best, can pro-actively indicate that the information is sensitive allowing for more intelligent and accurate DLP decisions. Watch the Video.