Data Security Posture Management

DLP & DSPM

What’s the Difference between
DLP and DSPM? 

Data Loss Prevention (DLP) and Data Security Posture Management (DSPM) are both crucial tools for data risk management, but they serve different functions within an organization’s security framework. 

DLP

Data Loss Prevention

DLP focuses primarily on monitoring, detecting, and blocking sensitive data while it is in use, in motion, and at rest to prevent unauthorized access, exfiltration, and data breaches.

DLP systems are typically rule-based and often require setting up pattern-driven detection policies that define what constitutes sensitive data and the conditions under which this data can be accessed, transferred, or shared. The main objective of DLP is ensuring that sensitive data does not leave the network without authorization.

DSPM

Data Security Posture Management

DSPM tools are designed to provide a comprehensive view of data security across the organization by identifying sensitive data, assessing risks, and suggesting or automating remediation actions. DSPM solutions are focused on data visibility and control within cloud and hybrid environments.

They help organizations understand where their sensitive data resides, how it is being accessed, and how to protect it from threats. DSPM tools leverage advanced technologies like AI and machine learning to automate data categorization and risk assessment processes.

DLP & DSPM

Key Differences 

DLP

Prevents data exfiltration and unauthorized access primarily through content inspection and contextual analysis.

DSPM

Provides visibility into data security risks and automates the identification and remediation of security gaps in data storage and access.

DLP

Primarily utilizes predefined detection rules and monitoring policies to control the flow of sensitive information.

DSPM

Employs AI and machine learning for dynamic data categorization and risk assessment, often functioning in a semi-automated way without predefined rules or policies.

DLP

Effective in both on-premises and cloud environments but often requires complex configuration.

DSPM

Especially suitable for cloud environments, providing a holistic view of data security across various cloud services and applications.

DLP

Helps enforce compliance by preventing data breaches through real-time monitoring and blocking.

DSPM

Supports compliance efforts by improving data security insights,  through risk assessments and recommendations for security remediation.

In summary, while DLP is about preventing data leakage and loss, DSPM focuses on visibility, analysis, and remediation within the overall data security program. Both are essential but operate with different approaches to – and different mechanisms for – protecting sensitive information.

DSPM

Why Is It Valuable?

Enterprise data risk management requires a deep understanding of the who, what, where, why, and how of data

It is difficult, if not impossible, to manage data risk without systematically discovering and classifying data assets using modern tools, technologies, and techniques

Classification initiatives have been slow to mature due to data sprawl, cloud adoption, weak governance, and poor organizational alignment

Data Security Posture Management (DSPM) solutions accelerate data risk program development, by overcoming technical challenges around data governance, visibility, and protection.

DSPM solutions provide cutting-edge, automated, and accurate classification of data assets, by answering a number of questions for an organization:
  • What important data do I have, both on-prem and across cloud environments?

  • What are the risks with our data assets?

  • How do I enable remediation, protection and streamline data governance?

  • How do I utilize insights to strengthen and extend my data loss prevention, encryption, backup and recovery, and related efforts?

Ready to get started with Infolock’s Data Security Posture Management?
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