# Zscaler Internet Access alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 227 of the 252 answers in the 1 category where Zscaler Internet Access 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/zscaler-internet-access/alternatives

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

- Microsoft Purview DLP: 98
- Nightfall AI: 17
- Safetica ONE: 17
- Teramind DLP: 10
- Forcepoint DLP: 7
- Netskope DLP: 4

## Data loss prevention

**Small business**: 83 of 84 answers did not name Zscaler Internet Access.

- Microsoft Purview DLP: first choice in 38 of those 83
- Nightfall AI: first choice in 14 of those 83
- Safetica ONE: first choice in 9 of those 83
- Teramind DLP: first choice in 6 of those 83
- CurrentWare: first choice in 2 of those 83
- Microsoft Purview Suite for Microsoft 365 Business Premium: first choice in 2 of those 83
- Netwrix Endpoint Protector: first choice in 2 of those 83
- Cloudflare One DLP: first choice in 1 of those 83

**Mid-market**: 76 of 84 answers did not name Zscaler Internet Access (Zscaler Internet Access is #10 of 15 at 0%).

- Microsoft Purview DLP: first choice in 30 of those 76
- Safetica ONE: first choice in 8 of those 76
- Teramind DLP: first choice in 4 of those 76
- Nightfall AI: first choice in 3 of those 76
- Netskope DLP: first choice in 2 of those 76
- Next DLP: first choice in 2 of those 76
- Code42: first choice in 1 of those 76
- Cyberhaven: first choice in 1 of those 76

**Enterprise**: 68 of 84 answers did not name Zscaler Internet Access (Zscaler Internet Access is #4 of 13 at 4%).

- Microsoft Purview DLP: first choice in 30 of those 68
- Forcepoint DLP: first choice in 7 of those 68
- Symantec Data Loss Prevention: first choice in 3 of those 68
- Fortra DLP: first choice in 2 of those 68
- Netskope DLP: first choice in 2 of those 68
- Digital Guardian: first choice in 1 of those 68

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