In the world of cyber security, data loss prevention remains a popular topic. As data breaches continue to impact enterprises globally, the sophistication and intensity of these attacks increases daily. Organizations have since incorporated data loss prevention (DLP) software into their own policies to curb unlawful access to their sensitive information. However, by adhering to the industry’s latest trends, enterprises may find that they benefit even further from the integrated, automated data loss prevention tools.
Improve your current data loss prevention policy with these data loss prevention best practices:
Practice #1: Data Classification
Data classification is the process of organizing data into categories for the most effective and efficient use. A well-constructed data classification system is a staple of any data loss prevention policy because it defines what categories and criteria your organization uses to classify (and later identify) data, as well as the roles and responsibilities of employees cleared for accessing certain data.
Data loss prevention tools from companies like Symantec, Titus, and Boldon James provide a platform to discover data, determine categories, and outline company-wide data loss prevention policy. A good data classification tool should be scalable, ease compliance with regulatory requirements, and provide incident response features in the case of a data breach.
Practice #2: User Behavior Analytics
Data loss prevention best practices dictate some form of user behavior analytics to combat any insider threats within your enterprise. While firewalls and anti-malware software analyze and block potential outside threats, user behavior analytics technology inspects user action for unusual or malicious behavior. Data loss prevention software like Forcepoint Insider Threat constantly monitor and analyze your users’ behavior, identifying the users who are most likely to compromise your data—either accidentally or maliciously.
Practice #3: Offline DLP
Offline DLP is a standard feature for data loss prevention software. Because most DLP software is installed directly onto the user’s machine, it can still monitor and protect against attacks while it is disconnected from the network. In the case of an incident, the machine contains the attack locally until it is reconnected, upon which an incident report will be generated.
With the right DLP software and policy, every enterprise can determine their own data loss prevention best practices to curb or eliminate data loss. As data breaches become more adept, enterprises should consider data loss prevention a viable addition to their information security strategy.