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Compare Cyberhaven and Forcepoint Data Loss Prevention (DLP) 
At a Glance
Market Segments
Enterprise (56.3% of reviews)
Enterprise (58.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Cyberhaven
Star Rating
(16)4.5 out of 5
Market Segments
Enterprise (56.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about CyberhavenForcepoint Data Loss Prevention (DLP)
Star Rating
(27)4.4 out of 5
Market Segments
Enterprise (58.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Forcepoint Data Loss Prevention (DLP)Cyberhaven vs Forcepoint Data Loss Prevention (DLP)
When assessing the two solutions, reviewers found Forcepoint Data Loss Prevention (DLP) easier to use, set up, and administer. However, reviewers preferred doing business with Cyberhaven overall.
- Reviewers felt that Cyberhaven meets the needs of their business better than Forcepoint Data Loss Prevention (DLP).
- When comparing quality of ongoing product support, reviewers felt that Cyberhaven is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Forcepoint Data Loss Prevention (DLP) over Cyberhaven.
Pricing
Entry-Level Pricing
Cyberhaven
No pricing availableForcepoint Data Loss Prevention (DLP)
No pricing availableFree Trial
Cyberhaven
No trial information availableForcepoint Data Loss Prevention (DLP)
No trial information availableRatings
Meets Requirements
8.8
15
8.7
18
Ease of Use
8.4
16
8.7
18
Ease of Setup
8.5
16
9.3
14
Ease of Admin
8.8
14
9.4
14
Quality of Support
8.7
15
8.4
18
Has the product been a good partner in doing business?
9.4
14
8.7
14
Product Direction (% positive)
9.2
14
9.3
17
Features by Category
Administration
9.3
12
8.8
14
9.8
11
8.5
14
8.8
13
8.5
13
Governance
8.3
12
8.7
14
9.2
14
8.5
13
9.8
14
9.0
14
Security
9.0
10
8.7
13
8.6
12
8.5
14
9.5
14
9.0
13
9.0
13
9.1
13
Data Protection
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Protection
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Usability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
9.7
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
8.9
6
Not enough data
9.7
6
Not enough data
8.6
6
Not enough data
9.3
5
Not enough data
8.7
5
Not enough data
Agentic AI - Sensitive Data Discovery
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
9.3
10
Not enough data
9.6
9
Not enough data
9.2
11
Not enough data
9.0
10
Not enough data
9.8
10
Not enough data
9.2
10
Not enough data
Monitoring
7.0
9
Not enough data
5.0
9
Not enough data
5.6
9
Not enough data
Discovery & Classification - Data Security Posture Management (DSPM)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Risk Prioritization - Data Security Posture Management (DSPM)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Remediation & Governance - Data Security Posture Management (DSPM)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Visibility
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Identity
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Cyberhaven and Forcepoint Data Loss Prevention (DLP) are categorized as Data Loss Prevention (DLP)
Unique Categories
Cyberhaven is categorized as Insider Threat Management (ITM), Sensitive Data Discovery, Data-Centric Security, Cloud Data Security, and Data Security Posture Management (DSPM)
Forcepoint Data Loss Prevention (DLP) has no unique categories
Reviews
Reviewers' Company Size
Cyberhaven
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Forcepoint Data Loss Prevention (DLP)
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Financial Services
37.5%
Manufacturing
25.0%
Venture Capital & Private Equity
6.3%
Marketing and Advertising
6.3%
Legal Services
6.3%
Other
18.8%
Information Technology and Services
25.0%
Banking
20.8%
Financial Services
16.7%
Information Services
8.3%
Computer & Network Security
8.3%
Other
20.8%
Alternatives
Discussions
Cyberhaven has no discussions with answers
What are the features of DLP?
1 Comment
DK
Machine Learning, Fingerprinting, Predefined rules, Regex, Dictionary, Data DiscoveryRead more
What is Forcepoint DLP used for?
1 Comment
KK
DLP, or Data Loss Prevention, is a cybersecurity solution that detects and prevents data breaches. Since it blocks extraction of sensitive data,...Read more
Forcepoint Data Loss Prevention (DLP) has no more discussions with answers
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