cybersecurity
dlp
data loss prevention
In 2017 the Equifax data breach included sensitive personal and financial information of approximately 147 million Americans was exposed. Equifax agreed to a global settlement of up to $425 million to help people affected by the data breach.
The Equifax data breach was a result of inadequate Data Loss Prevention (DLP) measures, among other security failures.
While DLP alone might not have prevented the breach entirely, robust DLP policies and technologies could have significantly mitigated the impact or potentially detected the breach earlier. Here's why:
Lack of Data Discovery and Classification: Effective DLP starts with knowing what sensitive data you have and where it's located. Equifax failed to properly identify and classify all of its sensitive data, which is a crucial first step in DLP.
Insufficient Data Access Controls: DLP involves controlling who has access to sensitive data. Equifax's breach was partly due to a failure to properly restrict access to critical systems and data.
Inadequate Monitoring and Detection: DLP systems can monitor data movement and alert on suspicious activities. Equifax's breach went undetected for months, indicating a lack of proper monitoring.
Poor Data Encryption: DLP often includes encryption of sensitive data. Much of the stolen Equifax data was unencrypted, making it easily usable by the attackers.
Ineffective Data Exfiltration Prevention: DLP technologies can prevent large amounts of data from being extracted from the network. The fact that attackers were able to exfiltrate data for 76 days suggests a lack of such controls.
This case underscores the critical importance of implementing comprehensive DLP strategies to protect sensitive data and detect potential breaches early.
Data Loss Prevention (DLP) is a set of tools and processes designed to detect and prevent the unauthorized use and transmission of sensitive information. DLP is crucial in today's digital landscape for several reasons:
Organizations typically deal with various types of sensitive data, including:
Personally Identifiable Information (PII)
Financial Information
Protected Health Information (PHI)
Intellectual Property (IP)
Business-Sensitive Information
Sensitive data can be leaked through various channels:
Email and Messaging
Cloud Storage and File Sharing
Removable Media
Printing and Physical Documents
Web and Social Media
Network Traffic
Mobile Devices
Understanding these channels is crucial for implementing effective DLP strategies and technologies, which we'll explore in the next lesson.