Data Loss Prevention Pricing
A Comprehensive Guide
TL;DR
Data loss prevention (DLP) software is a critical tool for protecting sensitive information and preventing costly data breaches. However, DLP solutions vary widely in features, capabilities and price. This article provides a comprehensive overview of DLP pricing models, factors that impact cost, and tips for getting the best value.
There are three primary pricing models for DLP software:
This model charges a license fee for each user or endpoint that accesses the DLP software. Fees typically range from $10 to $90 per user per year. Per user pricing is common for cloud-based DLP solutions.
Some DLP tools charge based on the amount of data analyzed and protected. Volume is measured in gigabytes or terabytes per month. Data volume pricing ranges from around $1,000 to $4,000 per terabyte.
Module-based pricing charges separately for specific DLP capabilities like network monitoring, endpoint protection or cloud app security. Modules are priced individually but are also available in bundled suites.
In addition to the core software fees, DLP tools have extra costs for setup, configuration, maintenance, support and professional services.
Several variables influence the total cost of a DLP solution:
Number of users: More users mean higher licensing fees.
Data volume: Solutions based on data volume have higher costs when protecting larger data sets.
Modules used: Selecting more DLP modules increases functionality but also boosts pricing.
Cloud vs on-premises: Cloud DLP is convenient but often more expensive long-term than on-prem solutions.
Customization: Extensive configuration and custom policies add to implementation and support costs.
Service and support: Ongoing maintenance, upgrades and technical support carry additional fees.
Vendor: Prices vary significantly between solutions from different vendors.
Follow these tips to maximize value and minimize DLP costs:
- Clearly identify your specific DLP needs before getting quotes. This allows you to avoid paying for unnecessary capabilities.
- Consider both short-term costs and long-term TCO when evaluating solutions.
- Leverage any volume discounts available based on number of users or data volume.
- Start with core functionality, then add other modules over time if needed.
- For cloud DLP, closely monitor data volume and stay under allowance limits.
- Limit customization to keep professional services fees in check.
- Consider bundled suites rather than individual modules to reduce costs.
- Negotiate service and support costs by committing to longer contract terms.
- Compare pricing from at least 3 vendors to get the best deal.
To illustrate the range of DLP software costs, here are some real-world pricing examples from leading vendors:
Symantec DLP charges around $50 per user annually for endpoint and network protection, plus implementation fees of $150,000 or more for large enterprises.
McAfee DLP comes in a suite priced at $85 per user per year including maintenance. Professional services add $100,000 or more.
Digital Guardian costs $95 per user annually for their full data protection platform. Multi-year contracts reduce per-user pricing.
Forcepoint DLP offers per-user pricing starting at $30 with additional fees for setup, maintenance and support.
Zscaler offers DLP as part of their cloud platform for $5 per user monthly, with 500GB of data scanned included.
As you can see, DLP solutions range from around $10 to $100 per user annually for basic functionality. However, advanced features, extensive customization and professional services can rapidly increase costs for enterprise-wide deployment. Carefully evaluating your specific requirements and comparing vendor pricing is crucial to finding the right DLP software at the best value.
When comparing DLP solutions, you'll want to look at key factors like:
Prioritizing must-have features and nice-to-haves will help determine the best solution for your budget.
When comparing data loss prevention solutions, it's crucial to consider modern, comprehensive approaches. Strac's DLP solution offers a wide range of features including AI-powered detection, custom data element configuration, and deep content inspection across various file formats, providing robust protection for sensitive data across multiple platforms.
Making the Business Case for DLP Investment
Gaining executive buy-in for a DLP solution requires building a compelling business case focused on risk reduction and ROI. Be sure to cover:
With thoughtful analysis of needs, costs, benefits and alternatives, you can get leadership onboard with investing in DLP.
To maximize value from DLP deployments, organizations should take a strategic, data-centric approach to security. Core tenets of this model include:
By focusing security efforts on protecting critical data itself, rather than just infrastructure, companies can enable secure information use to drive business success. Evaluating DLP solutions in the context of this larger strategy ensures maximum security and value.
DLP tools' varying capabilities and models make it essential to take a strategic approach to selecting and budgeting for the right solution.
Following best practices around pricing models, cost factors, and vendor comparisons helps maximize value. Prioritizing critical features over unnecessary extras keeps costs contained. With the proper due diligence and planning, organizations can implement DLP capabilities that enhance data security in a budget-friendly manner.
Ready to explore a data loss prevention solution that offers competitive pricing and comprehensive protection? Book a demo with Strac to see how our advanced DLP capabilities can fit your budget and security needs.