Data Loss Prevention Program Development

Keep sensitive enterprise information safe

Next Steps:

Overview

Data Loss Prevention (DLP) is the process and methodology to detect and prevent the unauthorized transmission or disclosure of sensitive information. At the heart of DLP is a combination of people, processes, and technology. Together, these elements work to help ensure data is utilized in its intended manner.

Implementing a comprehensive DLP program is essential to reduce the risk of exposing sensitive information. Organizations cannot risk the harmful implications due to loss of data or suffer the penalties from a regulatory violation. In today’s business environment, the increased volume of data makes it challenging to efficiently manage new or existing data. Nevertheless, it is a problem that all organizations need to address.

Key Benefits

  • Prevent data loss
    Prevent accidental or malicious loss of data by insiders or hackers, even when data is disguised.
  • Reduce costs
    Lower the costs of investigating a data breach and reduce the expenses associated with recovering from damage to your company’s reputation.
  • Facilitate early risk detection and mitigation
    Identify data loss and ensure information is in its proper place.
  • Increase security confidence
    Assure senior management that proper security safeguards are in place, allowing them to concentrate on other critical business issues.

Methodology

Although some of the Data Loss Prevention (DLP) processes and procedures may appear to be redundant to existing security safeguards, creating a separate program can actually strengthen existing security controls and initiate new methods for detecting data loss. As part of Foundstone’s solution, consultants will conduct an assessment addressing the following eight elements:

  • Data governance
  • Risk assessment
  • Regulatory and privacy requirements
  • Data classification
  • Policies, standards, and procedures
  • Data discovery
  • Remediation processes
  • Training and awareness