McAfee data loss prevention solution

The McAfee data loss prevention (DLP) solution can be used to address concerns about the security of regulated data and sensitive information. Its data loss prevention technology includes a common policy across all components, database crawling, easier workflow through the ePolicy Orchestrator platform and improved support for Microsoft Active Directory.

Deployment can occur within days allowing users to immediately test policies against corporate data. Its data analytics allow IT departments to gain knowledge of unknown data risk and understand how to quickly and effectively protect corporate data.

Users manage data incidents from the ePolicy Orchestrator platform, a single console which supports case management, configuration, reporting and monitoring while providing historic data-use insight that can be centralised or delegated to best suit specific user requirements.

Integration between the company’s data loss prevention technology and the rest of its data protection portfolio allows for automated responses to threats in a coordinated way. Integration with leading rights management technologies including Adobe and Oracle allows the protection of sensitive data to extend beyond the boundaries of the enterprise.

Advanced data analytics gives users clear understanding about how their data is used allowing them to better anticipate problems that would otherwise go undiscovered.

DLP is delivered via pre-integrated, hardened appliances and a host agent that is pushed via the ePolicy Orchestrator platform, so data is protected in days, not months. The solution provides knowledge of how data is actually used - allowing users to test policies against actual data history before putting them into production, enabling policies that are right the first time without guesswork, costly consulting or the business disruption caused by false positives. The historic data knowledge can also be used to accelerate incident investigations which can be completed in minutes and allows for clear understanding of how organisations use data.