# Netskope DLP vs Proofpoint Enterprise DLP: which do AI models recommend for DLP, October 2026

IT AI Recommendation Index, October 2026 Edition, Data loss prevention. Two of fourteen models named Netskope DLP first on the direct prompt; zero named Proofpoint Enterprise DLP. Page: https://it-ai-index.com/security/data-loss-prevention/netskope-dlp-vs-proofpoint-enterprise-dlp/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Netskope DLP | 6% | #4 of 15 | 0% | 24 | 12 of 14 |
| Proofpoint Enterprise DLP | 2% | #8 of 15 | 20% | 25 | 12 of 14 |

## The direct prompt, model by model

- Mistral Small: netskope dlp first (first choices: Netskope DLP) (alternatives: CurrentWare, Microsoft Purview DLP, Nightfall AI, Safetica, Zscaler Internet Access)
- DeepSeek V4 Flash: netskope dlp first (first choices: Netskope DLP) (alternatives: Fortra DLP, Next DLP, Nightfall AI)
- GPT-5.4 mini: neither first, one named (first choices: Microsoft Purview DLP) (alternatives: Forcepoint DLP, Netskope DLP)
- Kimi K2: neither first, one named (first choices: Microsoft Purview DLP) (alternatives: CurrentWare, Forcepoint DLP, Netwrix Endpoint Protector, Proofpoint Enterprise DLP, miniOrange DLP)
- GLM 4.7 FlashX: neither first, one named (first choices: Microsoft Purview DLP) (alternatives: CrowdStrike Falcon Data Protection, Forcepoint DLP, Netwrix Endpoint Protector, Nightfall AI, Proofpoint Enterprise DLP)
- Claude Haiku 4.5: neither named (first choices: Microsoft Purview DLP, Safetica)
- Gemini 3.5 Flash: neither named (first choices: Nightfall AI) (alternatives: Cyberhaven, Microsoft Purview DLP, Safetica)
- Perplexity Sonar: neither named (first choices: Microsoft Purview DLP, Strac) (alternatives: Forcepoint DLP, Nightfall AI, Varonis Data Security Platform)
- Grok 4.1 Fast: neither named (first choices: Microsoft Purview DLP) (alternatives: CurrentWare, Forcepoint DLP, Netwrix Endpoint Protector)
- Llama 4 Maverick: neither named
- Qwen 3.7 Flash: neither named (first choices: Netwrix 1Secure) (alternatives: Forcepoint DLP, Varonis Data Security Platform)
- MiniMax M2.5: neither named (first choices: Next DLP)
- GPT-6 Luna: neither named (first choices: Microsoft Purview DLP) (alternatives: Google's native protections for Workspace and Google Cloud, Netskope One)
- Muse Glimmer 30B: neither named (first choices: Safetica, Safetica ONE) (alternatives: CurrentWare, Zscaler Internet Access, miniOrange DLP)

## What the models said about Netskope DLP

- "Known for its cloud-native architecture, API-based SaaS coverage, and flexible pricing, making it ideal for mid-market companies" (Mistral Small, direct prompt, first choice)
- "Netskope was the clear leader in the mid-market, thanks to its cloud-native architecture" (Muse Glimmer 30B, paraphrase prompt, first choice)
- "Netskope DLP is the strongest all-around choice for mid-market B2B companies today" (DeepSeek V4 Flash, direct prompt, first choice)

## What the models said about Proofpoint Enterprise DLP

- "Enterprise suites (Forcepoint, Symantec, Proofpoint) — typically quote-based and expensive" (DeepSeek V4 Flash, budget prompt, hard negative)
- "can be strong products but are also described as expensive, complex to set up" (Perplexity Sonar, negative prompt, soft negative)
- "Strong email/web protection | Expensive, complex setup" (Muse Glimmer 30B, direct prompt, soft negative)
- "Proofpoint and Forcepoint are top-tier choices due to their comprehensive features and scalability" (Mistral Small, paraphrase prompt, first choice)
- "Excellent for organizations already using Proofpoint for email security." (GLM 4.7 FlashX, direct prompt, alternative)
- "Best For: Organizations where email leaks are the primary concern" (Qwen 3.7 Flash, comparative prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.