# Fortra DLP alternatives: what AI models name instead, October 2026

IT AI Recommendation Index, October 2026 Edition. 242 of the 252 answers in the 1 category where Fortra DLP holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://it-ai-index.com/vendors/fortra-dlp/alternatives/

## Named instead, most often (every category and segment added)

- Microsoft Purview DLP: 83
- Safetica: 21
- CurrentWare: 18
- Forcepoint DLP: 15
- Symantec Data Loss Prevention: 8
- Nightfall AI: 7

## Data loss prevention

**Small business**: 84 of 84 answers did not name Fortra DLP.

- Microsoft Purview DLP: first choice in 24 of those 84
- CurrentWare: first choice in 18 of those 84
- Safetica: first choice in 13 of those 84
- Nightfall AI: first choice in 7 of those 84
- Google Workspace DLP: first choice in 5 of those 84
- Coro: first choice in 2 of those 84
- miniOrange DLP: first choice in 2 of those 84
- ManageEngine Endpoint DLP Plus: first choice in 1 of those 84

**Mid-market**: 81 of 84 answers did not name Fortra DLP (Fortra DLP is #13 of 15 at 0%).

- Microsoft Purview DLP: first choice in 30 of those 81
- Safetica: first choice in 8 of those 81
- Forcepoint DLP: first choice in 6 of those 81
- Netskope DLP: first choice in 2 of those 81
- Symantec Data Loss Prevention: first choice in 2 of those 81
- Coro: first choice in 1 of those 81
- Forcepoint Data Loss Prevention: first choice in 1 of those 81
- Kickidler DLP: first choice in 1 of those 81

**Enterprise**: 77 of 84 answers did not name Fortra DLP (Fortra DLP is #10 of 11 at 0%).

- Microsoft Purview DLP: first choice in 29 of those 77
- Forcepoint DLP: first choice in 9 of those 77
- Symantec Data Loss Prevention: first choice in 6 of those 77
- Cyberhaven: first choice in 4 of those 77
- Proofpoint Enterprise DLP: first choice in 3 of those 77
- Netskope DLP: first choice in 2 of those 77
- Trellix DLP: first choice in 2 of those 77
- Digital Guardian DLP: first choice in 1 of those 77

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.