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

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

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| CurrentWare | 2% | #6 of 15 | 0% | 14 | 9 of 14 |
| Proofpoint Enterprise DLP | 2% | #8 of 15 | 20% | 25 | 12 of 14 |

## The direct prompt, model by model

- Grok 4.1 Fast: neither first, one named (first choices: Microsoft Purview DLP) (alternatives: CurrentWare, Forcepoint DLP, Netwrix Endpoint Protector)
- Mistral Small: neither first, one named (first choices: Netskope DLP) (alternatives: CurrentWare, Microsoft Purview DLP, Nightfall AI, Safetica, Zscaler Internet Access)
- 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)
- Muse Glimmer 30B: neither first, one named (first choices: Safetica, Safetica ONE) (alternatives: CurrentWare, Zscaler Internet Access, miniOrange DLP)
- Claude Haiku 4.5: neither named (first choices: Microsoft Purview DLP, Safetica)
- GPT-5.4 mini: neither named (first choices: Microsoft Purview DLP) (alternatives: Forcepoint DLP, Netskope DLP)
- 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)
- DeepSeek V4 Flash: neither named (first choices: Netskope DLP) (alternatives: Fortra DLP, Next DLP, Nightfall AI)
- 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)

## What the models said about CurrentWare

- "Lowest Cost & Simplicity | CurrentWare (~$5/user/mo)" (Qwen 3.7 Flash, budget prompt, first choice)
- "CurrentWare being especially practical for businesses that need endpoint DLP, USB control, employee activity visibility, and reporting" (Claude Haiku 4.5, comparative prompt, alternative)
- "Currentware - Best for endpoint DLP, USB control, workforce visibility, and SMB to mid-market organizations." (Llama 4 Maverick, paraphrase prompt, alternative)

## 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.