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

Gane Index, November 2026 Edition. 240 of the 252 answers in the 1 category where Trellix 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/trellix-dlp/alternatives

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

- Microsoft Purview DLP: 105
- Nightfall AI: 17
- Safetica ONE: 17
- Teramind DLP: 10
- Forcepoint DLP: 9
- Netskope DLP: 5

## Data loss prevention

**Small business**: 81 of 84 answers did not name Trellix DLP (Trellix DLP is #11 of 14 at 0%).

- Microsoft Purview DLP: first choice in 37 of those 81
- Nightfall AI: first choice in 14 of those 81
- Safetica ONE: first choice in 9 of those 81
- Teramind DLP: first choice in 6 of those 81
- CurrentWare: first choice in 2 of those 81
- Netwrix Endpoint Protector: first choice in 2 of those 81
- Cloudflare One DLP: first choice in 1 of those 81
- Metomic: first choice in 1 of those 81

**Mid-market**: 78 of 84 answers did not name Trellix DLP (Trellix DLP is #14 of 15 at 0%).

- Microsoft Purview DLP: first choice in 32 of those 78
- Safetica ONE: first choice in 8 of those 78
- Teramind DLP: first choice in 4 of those 78
- Nightfall AI: first choice in 3 of those 78
- Forcepoint DLP: first choice in 2 of those 78
- Netskope DLP: first choice in 2 of those 78
- Next DLP: first choice in 2 of those 78
- Code42: first choice in 1 of those 78

**Enterprise**: 81 of 84 answers did not name Trellix DLP (Trellix DLP is #13 of 13 at 0%).

- Microsoft Purview DLP: first choice in 36 of those 81
- Forcepoint DLP: first choice in 7 of those 81
- Fortra DLP: first choice in 3 of those 81
- Netskope DLP: first choice in 3 of those 81
- Symantec Data Loss Prevention: first choice in 3 of those 81
- Netskope One Platform: first choice in 2 of those 81
- Zscaler Internet Access: first choice in 2 of those 81
- Digital Guardian: first choice in 1 of those 81

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