BigID Next vs Forcepoint Risk Adaptive Protection for DLP comparison

BigID and Forcepoint are both solutions in the Data Loss Prevention (DLP) category. BigID is ranked #7 with an average rating of 8.3, while Forcepoint is ranked #36 with an average rating of 7.0. BigID holds a 3.4% mindshare in DLP, compared to Forcepoint’s 0.6% mindshare. Additionally, 100% of BigID users are willing to recommend the solution, compared to 100% of Forcepoint users who would recommend it.

BigID Next

Read 15 BigID Next reviews

5,072 Views
2,130 Comparison Views

100% willing to recommend

Forcepoint Risk Adaptive Pr...

Read 4 Forcepoint Risk Adaptive Protection for DLP reviews

343 Views
340 Comparison Views

100% willing to recommend

BigID Next

Forcepoint Risk Adaptive Pr...

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 22, 2026

BigID Next and Forcepoint Risk Adaptive Protection are competing in the data loss prevention (DLP) space. BigID Next seems to have an edge with its feature-rich platform focusing on data discovery and classification, while Forcepoint excels in providing flexible and scalable data protection through adaptive risk management.

Features: BigID Next offers comprehensive data discovery and classification, supporting a wide range of data sources including both structured and unstructured types. It excels at identifying sensitive data for compliance across environments. Forcepoint Risk Adaptive Protection focuses on dynamic data protection with behavioral analytics, adaptive risk management, and robust policy enforcement mechanisms.

Room for Improvement: BigID Next could improve in handling external drives and reducing false positives in data scanning. Enhancements in real-time data protection and more seamless integration with third-party platforms would be beneficial. Forcepoint can enhance its endpoint coverage and expand AI integration for more robust predictive analytics. Improvement in real-time adaptability and reducing customization for predefined policies would be advantageous.

Ease of Deployment and Customer Service: BigID Next facilitates a seamless cloud deployment with intuitive setup and robust support services. Forcepoint provides strong scalability options, which appeal to larger implementations, supported by comprehensive technical support. BigID is considered more accessible for smooth transitions, while Forcepoint is known for its scalability.

Pricing and ROI: BigID Next is recognized for competitive upfront costs promising significant ROI through enhanced data management. Forcepoint offers a flexible pricing model, leading to higher initial expenses but offset by its adaptability and operational security improvements. BigID is noted for cost-effectiveness, while Forcepoint's pricing reflects its security adaptability.

To learn more, read our detailed BigID Next vs. Forcepoint Risk Adaptive Protection for DLP Report (Updated: December 2025).

Buyer's Guide

BigID Next vs. Forcepoint Risk Adaptive Protection for DLP

December 2025

Download the complete report

Helped 881,114 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

BigID Next

Ranking in Data Loss Prevention (DLP)

7th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Governance (6th), Data Privacy Management Software (2nd), Data Security Posture Management (DSPM) (4th), AI Data Analysis (2nd)

Forcepoint Risk Adaptive Pr...

Ranking in Data Loss Prevention (DLP)

36th

Average Rating

7.0

Reviews Sentiment

5.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Loss Prevention (DLP) category, the mindshare of BigID Next is 3.4%, down from 4.5% compared to the previous year. The mindshare of Forcepoint Risk Adaptive Protection for DLP is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Loss Prevention (DLP) Market Share Distribution
Product	Market Share (%)
BigID	3.4%
Forcepoint Risk Adaptive Protection for DLP	0.6%
Other	96.0%

Data Loss Prevention (DLP)

Featured Reviews

Aniruddha Nath

Senior Security Consultant at a consultancy with 10,001+ employees

Data discovery has transformed compliance workflows and automation now speeds up requests and remediation

The best feature that BigID offers is data discovery and classification, which is the most powerful engine. It allows connecting to many different data sources, ranging from cloud to on-premises to structured to unstructured data. If there is no connector available, you can build your own classifiers as well. Regarding the custom classifier option, you can build custom classifiers using regular expressions, and I have done that if you know how to create regular expressions. Custom connectors are something you create to connect to a database where the connector is not available. BigID has positively impacted my organization as it's a very powerful tool, especially with the increasing regulatory compliances for different countries such as GDPR, CCPA, and India's recent DPDPA act. Having these tools in place greatly helps organizations avoid any penal charges for not being compliant with the regulatory compliances. For example, regarding compliance or reduced risks for my clients, the DSAR process I was talking about allows organizations to respond quickly to user data deletion requests under GDPR law, which traditionally has a 30-day or 60-day timeline. In larger organizations, when the number of requests is high, it becomes tedious. However, using DSAR automation with BigID, it's almost instantaneous; instead of 30 days, you can respond in just one day to what users have requested.

Read full review

SandeepKumar33

Cyber Security Engineer at Infratech Co

Policy management has improved data protection but configuration and encrypted traffic remain challenging

In my perspective, there are several things that need to be improved in Forcepoint Risk Adaptive Protection for DLP, such as the inability to monitor some encrypted data or data leaking in incognito mode. Additionally, Forcepoint Risk Adaptive Protection for DLP cannot monitor encrypted applications such as Microsoft Teams because it is end-to-end encrypted. In terms of additional features, there are many aspects of Forcepoint Risk Adaptive Protection for DLP that need improvement. Right now, two or three items are necessary, such as testing every policy to make sure they are configured correctly. We cannot go directly to production due to the extensive fine-tuning required, which typically takes two to three weeks to monitor the policy after customization. A lot of time has been consumed in the two to three weeks needed, which is something that should be reduced. Additionally, concerning the predefined policies, we cannot see the backend condition or backend script, which makes it difficult to modify the predefined policy.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"BigID has one of the best technical support teams."

"BigID offers different scan types for data discovery. The most powerful one is the full scan, which scans both data and metadata. However, the metadata scan is faster in comparison."

"Data classification is highly effective due to its automatic capabilities."

"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."

"My experience with BigID has been very positive and memorable, as BigID is simple, straightforward, and reliable when it comes to data discovery and data scanning exercises."

"BigID integrates well with our other products."

"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."

"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."

More BigID Next pros

"The most valuable features in Forcepoint Risk Adaptive Protection for DLP include policy management and endpoint status, as well as supplementary servers, OCR, IRR, and additional features."

"We chose Forcepoint as part of our cybersecurity strategy, and one of the key expectations was to prevent data leakage."

"Forcepoint Risk Adaptive Protection for DLP is purely a DLP-based solution, which makes it the best option available."

"It primarily influences policy enforcement, cloud application access control, and endpoint network coverage."

Cons

"In terms of what could be improved, when you're looking in a BigID file, you cannot really get the whole file. You have to export it to download it to another platform that allows you to completely view it, or run a program. That was one of the things that was really a disappointing point for me. Not to be able to view everything. There's a lot more data, but you can't get it all at once."

"Improvement could be made in data consent management and data privacy impact assessment."

"Some users find catalog navigation challenging due to the lack of a search-by-column feature, which makes it difficult to locate specific data quickly."

"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."

"One concern I have with BigID is regarding certain scans, like the multi-scan. The issue is that we can stop and retrieve these scans, but once they start, they go through an enumeration process."

"BigID needs improvement in terms of automation."

"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management. The privacy tools have not been widely used, and they have not invested much in privacy code privacy tools."

"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management."

More BigID Next cons

"From an end user's perspective, it's not always clear what's happening with the DLP. It would be beneficial to have more use cases available, perhaps on a countrywide basis."

"The SaaS solution needs improvement, especially the malware-centric part, although the CASB is better but mostly data-centric. The after-sale support could also be improved."

"The deployment is a little bit difficult. It requires two to three separate servers for databases and the application."

"In my perspective, there are several things that need to be improved in Forcepoint Risk Adaptive Protection for DLP, such as the inability to monitor some encrypted data or data leaking in incognito mode."

Pricing and Cost Advice

"The solution is not licensed per user but rather based on capacity. For instance, organizations with large amounts of data, such as 50 GB or more, are the ones that typically qualify for BigID."

"The solution is expensive."

"The pricing depends. If you have thousands of data sources to connect and manage, and you struggled with an MDM package in the past, you'll find BigID valuable and even cheap. But if you're a small business, it's probably not the right tool for you."

"I think that BigID's pricing is very reasonable."

"The product is expensive, but so are all competitor tools"

"The licensing cost is roughly 90 US dollars per year, per license."

See which vendors are best for you

Use our free recommendation engine to learn which Data Loss Prevention (DLP) solutions are best for your needs.

See recommendations

881,114 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

22%

Insurance Company

Computer Software Company

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	11

No data available

Questions from the Community

What do you like most about BigID?

I like BigID's in-depth discovery and scanning capabilities, especially for unstructured data. This feature is a standout compared to competitors. The tool's data classification capabilities are i...

See all answers

What needs improvement with BigID?

One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur. I think the BigID team is aware of this and works on resolving iss...

See all answers

What is your primary use case for BigID?

BigID's main use case is connecting to various data sources to perform the data discovery process, classify the data within those systems, and identify sensitive information across various structur...

See all answers

What do you like most about Forcepoint Risk Adaptive Protection for DLP?

It primarily influences policy enforcement, cloud application access control, and endpoint network coverage.

See all answers

What is your experience regarding pricing and costs for Forcepoint Risk Adaptive Protection for DLP?

Forcepoint Risk Adaptive Protection for DLP is very costly, especially in Sri Lanka, but the compliance ROI justifies the investment.

See all answers

What needs improvement with Forcepoint Risk Adaptive Protection for DLP?

The SaaS solution needs improvement, especially the malware-centric part, although the CASB ( /products/casb-reviews ) is better but mostly data-centric. The after-sale support could also be improved.

See all answers

Comparisons

Cyera vs BigID Next

Compared 15% of the time

Varonis Platform vs BigID Next

Compared 13% of the time

Securiti vs BigID Next

Compared 10% of the time

OneTrust DataGovernance vs BigID Next

Compared 10% of the time

Microsoft Purview Data Governance vs BigID Next

Compared 8% of the time

More BigID Next Competitors

Microsoft Purview Data Loss Prevention vs Forcepoint Risk Adaptive Protection for DLP

Compared 35% of the time

Zscaler Zero Trust Exchange Platform vs Forcepoint Risk Adaptive Protection for DLP

Compared 24% of the time

Cyera vs Forcepoint Risk Adaptive Protection for DLP

Compared 23% of the time

Fortra's Digital Guardian vs Forcepoint Risk Adaptive Protection for DLP

Compared 18% of the time

More Forcepoint Risk Adaptive Protection for DLP Competitors

Product Reports

Buyer's Guide

BigID Next

January 2026

Download BigID Next product report

Buyer's Guide

Data Loss Prevention (DLP)

January 2026

Forcepoint Risk Adaptive Protection for DLP report

Download Forcepoint Risk Adaptive Protection for DLP product report

Overview

BigID Next offers advanced data discovery, classification, and governance tools, streamlining compliance with privacy laws while integrating seamlessly with Microsoft platforms.

BigID Next provides comprehensive data management through machine learning-enhanced capabilities, supporting data discovery and classification for both structured and unstructured data. By simplifying processes for GDPR and CCPA compliance, and facilitating data scanning and mapping across databases, it optimizes data management. Automation is central to its design, with solutions for DSAR requests, organizing data with security labels, and ensuring a holistic organizational data view. Improvements in navigation, bug fixes, and scan reliability remain essential, along with enhancing classifiers for broader region coverage.

What features does BigID Next offer?

User-Friendly Interface: Easily navigable for streamlined data operations.
Microsoft Integration: Seamless compatibility with Microsoft platforms.
Data Scanning Capabilities: Efficiently scans structured and unstructured data.
Data Classification and Discovery: Identifies and categorizes sensitive data.
Security Labels: Supports predefined and custom security labels.
Automation for PII Requests: Automates privacy request management.
Compliance Adherence: Aligns with GDPR and CCPA requirements.
Scheduling Scans: Facilitates planned data assessments.
Machine Learning: Enhances data mapping, auditing, and management.

What benefits should users look for?

Enhanced Compliance: Supports adherence to major privacy laws like GDPR and CCPA.
Data Mapping Efficiency: Improves data locating and classification.
Automation Features: Saves time with automated data request handling.
Comprehensive Integration: Works well with existing security tools.
Holistic Data View: Offers clear insights into data storage and use.

BigID Next is commonly implemented in industries needing robust data governance, such as finance and healthcare, where data privacy and compliance with regulations are critical. It aids in scanning and classifying extensive data volumes, helping businesses maintain regulatory compliance while managing data risks effectively.

BigID

Forcepoint Risk Adaptive Protection for DLP offers dynamic security measures tailored to data protection needs, ensuring sensitive information is safeguarded efficiently.

Forcepoint Risk Adaptive Protection for DLP is designed to provide a balanced approach to data loss prevention by adapting security measures based on real-time risk assessment. This innovative system prioritizes protecting sensitive information while allowing for seamless workflow integration, making it a suitable choice for organizations looking to enhance their data protection strategies.

What are the key features of Forcepoint Risk Adaptive Protection for DLP?

Dynamic Policy Enforcement: Automatically adjusts security policies in real-time based on risk analysis.
User Behavior Analysis: Monitors and analyzes user actions to identify potential threats.
Comprehensive Data Coverage: Offers protection for data across various environments and platforms.
Risk-Adaptive Responses: Provides threat mitigation options based on the assessed level of risk.

What benefits and ROI can be expected?

Reduced Data Breach Risks: By dynamically adjusting security measures, threats are mitigated proactively.
Operational Efficiency: Allows seamless integration of security with daily operations, minimizing disruptions.
Scalable Protection: Easily adapts to organizational growth and evolving security needs.
Cost-Effective Security: Optimizes resource allocation by focusing on high-risk areas.

Forcepoint Risk Adaptive Protection for DLP is particularly effective in industries with stringent data protection requirements such as healthcare, finance, and government. It adapts its security posture to the specific risks faced in these sectors, addressing compliance mandates and safeguarding sensitive information efficiently.

Forcepoint

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Information Not Available

Buyer's Guide

BigID Next vs. Forcepoint Risk Adaptive Protection for DLP

December 2025

Free Report: BigID Next vs. Forcepoint Risk Adaptive Protection for DLP

Find out what your peers are saying about BigID Next vs. Forcepoint Risk Adaptive Protection for DLP and other solutions. Updated: December 2025.

DOWNLOAD NOW

881,114 professionals have used our research since 2012.

See our BigID Next vs. Forcepoint Risk Adaptive Protection for DLP report.

See our list of best Data Loss Prevention (DLP) vendors.

We monitor all Data Loss Prevention (DLP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.