Head-to-head · Data Loss Prevention Software
OpenText Data Loss Prevention vs Forcepoint Data Loss Prevention
OpenText Data Loss Prevention leads on 0 checks, Forcepoint Data Loss Prevention on 0, and 7 are even. Who comes out ahead on the 7 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreOpenText Data Loss Prevention · 8.7/10
- Most featuresForcepoint Data Loss Prevention · 6 of 6
OpenText Data Loss Prevention scores higher on our rubric for data loss prevention software: 8.7 against 8.5 out of 10; our editors rank them #7 and #9.
OpenText Data Loss Prevention is the better fit for large data estates with extensive repositories. Forcepoint Data Loss Prevention is the better fit for hybrid enterprises needing full-channel DLP.
- OpenText Data Loss Prevention fits best
Large data estates with extensive repositories
- Forcepoint Data Loss Prevention fits best
Hybrid enterprises needing full-channel DLP
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Side by side
| Feature | OpenText Data Loss Prevention 8.7/10 Visit ↗ | Forcepoint Data Loss Prevention 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.5 |
| Ranking | #7 in Data Loss Prevention Software | #9 in Data Loss Prevention Software |
| Best for | Large data estates with extensive repositories | Hybrid enterprises needing full-channel DLP |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | Not checked yet | — |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web, Windows |
| Integrations | 4 integrations | 7 integrations |
| Built for | Enterprise, Mid-market | Enterprise |
| Features OpenText Data Loss Prevention 5/6 · Forcepoint Data Loss Prevention 6/6 | ||
| Endpoint controls | ✓ | ✓ |
| Network controls | ✓ | ✓ |
| Cloud app controls | ✓ | ✓ |
| Data discovery | ✓ | ✓ |
| Removable media control | Not checked yet | ✓ (best) |
| Incident workflows | ✓ | ✓ |
| Specs | ||
| Deployment | Hybrid | Hybrid |
| Our review | ||
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| Cons |
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| Our verdict | OpenText Data Loss Prevention is a hybrid data loss prevention platform for enterprises and organizations handling intellectual property, customer records, regulated data, and other sensitive information. It discovers and classifies data… Read the review → |
Forcepoint Data Loss Prevention is a hybrid data loss prevention platform for organizations that need to discover, classify, monitor and protect sensitive information across multiple channels. It centralizes policy management across… Read the review → |
Strengths and trade-offs
OpenText Data Loss Prevention — where it wins
- Searches more than 160 repository sources and 1,900 file types
- Covers endpoints, networks, clouds, files, databases, communications, and email
- Automates blocking, encryption, quarantine, alerts, and incident workflows
Where it doesn't
- Enterprise-scale coverage may exceed the needs of smaller teams
- Exact packaging can vary across related OpenText components
- Integrations are described by platform category rather than named products
Forcepoint Data Loss Prevention — where it wins
- Covers endpoints, networks, cloud applications, email, databases and file servers
- Controls removable storage, browser uploads, email and application activity
- Adds risk-adaptive enforcement and AI-assisted policy operations
Where it doesn't
- Pricing requires contact with the sales team
- There is no free plan
- Listed platform support covers web and Windows
- OpenText Data Loss Prevention8.7/10 · Pricing on request
A broad DLP platform for enterprises managing sensitive data across many repositories.
Visit OpenTextFull verdict → - Forcepoint Data Loss Prevention8.5/10 · Pricing on request
A full-channel DLP platform for hybrid enterprises that need centralized discovery and enforcement.
Visit ForcepointFull verdict →
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All data loss prevention software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







