# Teramind DLP alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 219 of the 252 answers in the 1 category where Teramind DLP holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://www.gane.ai/index/it/vendors/teramind-dlp/alternatives

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

- Microsoft Purview DLP: 98
- Safetica ONE: 17
- Forcepoint DLP: 10
- Nightfall AI: 9
- Netskope DLP: 5
- Fortra DLP: 3

## Data loss prevention

**Small business**: 63 of 84 answers did not name Teramind DLP (Teramind DLP is #4 of 14 at 8%).

- Microsoft Purview DLP: first choice in 29 of those 63
- Safetica ONE: first choice in 9 of those 63
- Nightfall AI: first choice in 7 of those 63
- CurrentWare: first choice in 2 of those 63
- Netwrix Endpoint Protector: first choice in 2 of those 63
- Cloudflare One DLP: first choice in 1 of those 63
- Metomic: first choice in 1 of those 63
- Microsoft 365 Business Premium DLP: first choice in 1 of those 63

**Mid-market**: 74 of 84 answers did not name Teramind DLP (Teramind DLP is #3 of 15 at 7%).

- Microsoft Purview DLP: first choice in 32 of those 74
- Safetica ONE: first choice in 8 of those 74
- Forcepoint DLP: first choice in 3 of those 74
- Netskope DLP: first choice in 2 of those 74
- Next DLP: first choice in 2 of those 74
- Nightfall AI: first choice in 2 of those 74
- Code42: first choice in 1 of those 74
- Cyberhaven: first choice in 1 of those 74

**Enterprise**: 82 of 84 answers did not name Teramind DLP.

- Microsoft Purview DLP: first choice in 37 of those 82
- Forcepoint DLP: first choice in 7 of those 82
- Fortra DLP: first choice in 3 of those 82
- Netskope DLP: first choice in 3 of those 82
- Symantec Data Loss Prevention: first choice in 3 of those 82
- Netskope One Platform: first choice in 2 of those 82
- Zscaler Internet Access: first choice in 2 of those 82
- Digital Guardian: first choice in 1 of those 82

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