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Compare Forcepoint Data Loss Prevention (DLP) and Strac 
At a Glance
Market Segments
Enterprise (58.3% of reviews)
Small-Business (51.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Forcepoint 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)Strac
Star Rating
(27)4.9 out of 5
Market Segments
Small-Business (51.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about StracForcepoint Data Loss Prevention (DLP) vs Strac
When assessing the two solutions, reviewers found Strac easier to use, set up, and administer. Reviewers also preferred doing business with Strac overall.
- Reviewers felt that Strac meets the needs of their business better than Forcepoint Data Loss Prevention (DLP).
- When comparing quality of ongoing product support, reviewers felt that Strac is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Strac over Forcepoint Data Loss Prevention (DLP).
Pricing
Entry-Level Pricing
Forcepoint Data Loss Prevention (DLP)
No pricing availableStrac
No pricing availableFree Trial
Forcepoint Data Loss Prevention (DLP)
No trial information availableStrac
No trial information availableRatings
Meets Requirements
8.7
18
9.9
20
Ease of Use
8.7
18
9.7
21
Ease of Setup
9.3
14
9.6
17
Ease of Admin
9.4
14
9.6
14
Quality of Support
8.4
18
9.9
20
Has the product been a good partner in doing business?
8.7
14
9.9
15
Product Direction (% positive)
9.3
17
10.0
21
Features by Category
Administration
8.8
14
9.2
12
8.5
14
7.8
9
8.5
13
8.9
12
Governance
8.7
14
7.8
10
8.5
13
9.0
13
9.0
14
9.4
11
Security
8.7
13
9.2
14
8.5
14
7.8
9
9.0
13
7.8
9
9.1
13
8.9
9
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
8.7
9
Not enough data
8.7
10
Not enough data
8.8
8
Not enough data
9.8
7
Not enough data
9.7
12
Not enough data
10.0
11
Not enough data
8.9
12
Not enough data
9.3
12
Not enough data
10.0
11
Not enough data
9.4
12
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
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
Forcepoint Data Loss Prevention (DLP) and Strac are categorized as Data Loss Prevention (DLP)
Unique Categories
Forcepoint Data Loss Prevention (DLP) has no unique categories
Strac is categorized as Data-Centric Security, Sensitive Data Discovery, Cloud Data Security, and Data Security Posture Management (DSPM)
Reviews
Reviewers' Company Size
Forcepoint Data Loss Prevention (DLP)
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Strac
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
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%
Financial Services
40.7%
Information Technology and Services
11.1%
Computer Software
11.1%
Real Estate
7.4%
Insurance
7.4%
Other
22.2%
Alternatives
Discussions
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
What are the features of DLP?
1 Comment
DK
Machine Learning, Fingerprinting, Predefined rules, Regex, Dictionary, Data DiscoveryRead more
Forcepoint Data Loss Prevention (DLP) has no more discussions with answers
Strac has no discussions with answers
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