Data loss prevention for enterprise buyers
Asked as “data loss prevention platform”, and as “DLP tool”, on behalf of an enterprise B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
57%
Clear leader
57Microsoft Purview DLP15Forcepoint DLP07Symantec Data Loss Prevention20others
57% of first choices, clear leader.
Since September 2026▲+5Since September 2026: 52% → 57%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Microsoft Purview DLP held the lead, +5 points on 52%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Microsoft Purview DLP35%Contested▲+2Since September 2026: 30% → 31%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketMicrosoft Purview DLP46%Clear leader▲+9Since September 2026: 39% → 48%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseMicrosoft Purview DLP57%Clear leader▲+5Since September 2026: 52% → 57%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
Microsoft Purview DLP35%Contested▲+2Since September 2026: 30% → 31%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketMicrosoft Purview DLP46%Clear leader▲+9Since September 2026: 39% → 48%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseMicrosoft Purview DLP57%Clear leader▲+5Since September 2026: 52% → 57%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Microsoft Purview DLP57%11%71endorsed leader▲+5Since September 2026: 52% → 57%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.52% → 57%
Microsoft Purview DLP57%11%71endorsed leader▲+5Since September 2026: 52% → 57%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.52% → 57%02
Forcepoint DLP15%19%68accepted challenger▼−4Since September 2026: 19% → 15%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.19% → 15%
Forcepoint DLP15%19%68accepted challenger▼−4Since September 2026: 19% → 15%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.19% → 15%03
Symantec Data Loss Prevention7%35%63criticized challenger▼−3Since September 2026: 12% → 9%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 9%
Symantec Data Loss Prevention7%35%63criticized challenger▼−3Since September 2026: 12% → 9%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.12% → 9%04
Cyberhaven6%0%19accepted challenger▲+2Since September 2026: 5% → 6%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 6%
Cyberhaven6%0%19accepted challenger▲+2Since September 2026: 5% → 6%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 6%05
Netskope DLP4%5%42accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Netskope DLP4%5%42accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%06
Proofpoint Enterprise DLP4%13%31accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
Proofpoint Enterprise DLP4%13%31accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%07
Trellix DLP4%37%19criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
Trellix DLP4%37%19criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%Show the four products at 0%, ordered by negative rate
11
Digital Guardian0%21%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Digital Guardian0%21%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%10
Fortra DLP0%18%11accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Fortra DLP0%18%11accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%09
Nightfall AI0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Nightfall AI0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
Zscaler Internet Access0%5%22accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Zscaler Internet Access0%5%22accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Head to head
All twenty-eight head-to-head pages: the top eight products, each against each
Microsoft Purview DLP vs Nightfall AIMicrosoft Purview DLP vs CurrentWareMicrosoft Purview DLP vs Netwrix Endpoint ProtectorMicrosoft Purview DLP vs Proofpoint Enterprise DLPSafetica vs Forcepoint DLPSafetica vs Netskope DLPSafetica vs Nightfall AISafetica vs CurrentWareSafetica vs Netwrix Endpoint ProtectorSafetica vs Proofpoint Enterprise DLPForcepoint DLP vs Netskope DLPForcepoint DLP vs Nightfall AIForcepoint DLP vs CurrentWareForcepoint DLP vs Netwrix Endpoint ProtectorForcepoint DLP vs Proofpoint Enterprise DLPNetskope DLP vs Nightfall AINetskope DLP vs CurrentWareNetskope DLP vs Netwrix Endpoint ProtectorNetskope DLP vs Proofpoint Enterprise DLPNightfall AI vs CurrentWareNightfall AI vs Netwrix Endpoint ProtectorNightfall AI vs Proofpoint Enterprise DLPCurrentWare vs Netwrix Endpoint ProtectorCurrentWare vs Proofpoint Enterprise DLPNetwrix Endpoint Protector vs Proofpoint Enterprise DLP
One product takes 57% of first choices here, so the chart would put ten markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Two products carry a negative rate above 25% in this category.
What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 and GPT-6 Luna changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Symantec Data Loss Prevention35%
22 of 63 labels negative · 11 of 14 models · 8 hard negative
“Legacy/Traditional DLP (e.g., Symantec/Broadcom DLP, Forcepoint DLP, McAfee/Trellix DLP)**: - **Why cautious/avoid**: Designed for on-premises/perimeter defense but falter at enterprise scale.” Grok 4.1 Fast, negative prompt
Forcepoint DLP19%
13 of 68 labels negative · 10 of 14 models · 3 hard negative
“**When to avoid:** If you need straightforward deployment and have limited specialized DLP staff, evaluate newer alternatives first.” MiniMax M2.5, negative prompt
Microsoft Purview DLP11%
8 of 71 labels negative · 8 of 14 models
“**Microsoft Purview DLP** is one to evaluate carefully in large, complex enterprises... inconsistent design, difficulty scoping policies across large organizations, and support delays” GPT-5.4 mini, negative prompt
Trellix DLP37%
7 of 19 labels negative · 7 of 14 models · 2 hard negative
“Legacy/Traditional DLP (e.g., Symantec/Broadcom DLP, Forcepoint DLP, McAfee/Trellix DLP)... Why cautious/avoid” Grok 4.1 Fast, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
77 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1122 links across 202 sites, every framing counted. Ranked by the number of answers carrying the site or page. 33 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Strac53 answers · 86 citations · 12 models
vendor site · Forcepoint47 answers · 103 citations · 14 models
vendor site · UnderDefense36 answers · 38 citations · 11 models
vendor site · Check Point33 answers · 33 citations · 11 models
vendor site · CurrentWare31 answers · 32 citations · 10 models
26 answers · 44 citations · 11 models
vendor site · Cyberhaven25 answers · 34 citations · 9 models
vendor site · Venn20 answers · 21 citations · 11 models
vendor site · Fortra19 answers · 22 citations · 11 models
18 answers · 18 citations · 8 models
vendor site · Netwrix18 answers · 18 citations · 8 models
vendor site · Mimecast17 answers · 19 citations · 9 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
37 answers · 12 models
36 answers · 11 models
36 answers · 11 models
33 answers · 11 models
31 answers · 10 models
21 answers · 9 models
19 answers · 9 models
19 answers · 11 models
18 answers · 8 models
18 answers · 8 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best data loss prevention platform”, “data loss prevention platform”, “data loss prevention platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Microsoft parent site Microsoft Purview DLP 57% | 57% | 176 | 2,240,000 | 403,136 | ||||
| Forcepoint forcepoint.com Forcepoint DLP 15%, Forcepoint Data Loss Prevention 0% | 15% | 160 | 4,400 | 244 | 25,465 company | 52 | 2 | |
| Broadcom broadcom.com Symantec Data Loss Prevention 7% | 7% | 129 | 390 | 1 | 604,076 company | 0 | ||
| Cyberhaven cyberhaven.com | 6% | 68 | 2,900 | 54 | 13,999 | 22 | ||
| Netskope netskope.com Netskope DLP 4% | 4% | 65 | 18,100 | 830 | 42,119 company | 27 | ||
| Proofpoint parent site Proofpoint Enterprise DLP 4% | 4% | 66 | 27,100 | 1,488 | ||||
| Trellix trellix.com Trellix DLP 4% | 4% | 45 | 8,100 | 386 | 71,321 company | |||
| Strac strac.io | 2% | 85 | 3,600 | 26 | 6,518 | 1 | 3 | |
| Microsoft Purview Information Protection microsoft.com | 2% | 2 | 145,358,109 | $12,455 | 103 | 1 | ||
| Zscaler parent site Zscaler Internet Access 0% | 0% | 69 | 60,500 | 3,104 |
Google's top ten for the three searches hold 22 sites; 5 of them are among the sites the models cited here (checkpoint.com, forcepoint.com, gartner.com, strac.io, underdefense.com). The first result for “best data loss prevention platform” is gartner.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best data loss prevention platform for an enterprise B2B company?”Paraphrase“Which DLP tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade data loss prevention platforms and how do they differ?”Budget-constrained“What is the best data loss prevention platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a data loss prevention platform. What should we look at?”Negative“Which data loss prevention platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Forcepoint DLPMicrosoft Purview DLPChangedCyberhaven, Fortra DLPagainst: Symantec Data Loss PreventionCyberhaven, Microsoft Purview DLPagainst: Forcepoint DLPno first choiceagainst: Digital Guardian, Microsoft Purview DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Teramind DLP
Four alternatives
CrowdStrike Falcon Data Protection, Fortra DLP, Microsoft Purview DLP, Symantec Data Loss PreventionFour alternatives
Forcepoint DLP, Netwrix Endpoint Protector, Proofpoint Enterprise DLP, Symantec Data Loss PreventionFour alternatives
Forcepoint Data Loss Prevention, Microsoft Purview DLP, Nightfall AI, Proofpoint Enterprise DLPGPT-5.4 miniMicrosoft Purview DLPMicrosoft Purview DLPHeldno first choiceagainst: Trellix DLPMicrosoft Purview DLPno first choiceagainst: Forcepoint DLP, Microsoft Purview DLP
Two alternatives
Forcepoint DLP, Symantec Data Loss PreventionTwo alternatives
Netskope DLP, Symantec Data Loss PreventionSix alternatives
Forcepoint DLP, Microsoft Purview DLP, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Zscaler Internet AccessTwo alternatives
Forcepoint DLP, Google Cloud DLPGemini 3.5 FlashCyberhaven, Microsoft Purview DLPMicrosoft Purview DLPChangedagainst: Symantec Data Loss PreventionCyberhavenMicrosoft Purview DLPagainst: Forcepoint DLP, Symantec Data Loss PreventionCyberhavenagainst: Symantec Data Loss Prevention, Trellix/McAfeeagainst: Forcepoint DLP, Microsoft Purview DLP, Symantec Data Loss Prevention, Trellix DLP
Four alternatives
Forcepoint DLP, Netskope DLP, Symantec Data Loss Prevention, Zscaler Internet AccessFive alternatives
Cyberhaven, Forcepoint DLP, Fortra DLP, Netskope DLP, Netwrix Endpoint ProtectorSix alternatives
Forcepoint DLP, Microsoft Purview DLP, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Zscaler Internet AccessTwo alternatives
Fortra DLP, Proofpoint Enterprise DLPFive alternatives
Metomic, Microsoft Purview DLP, Netskope DLP, Nightfall AI, Zscaler Internet AccessPerplexity SonarMicrosoft Purview DLPMicrosoft Purview DLPHeldMicrosoft Purview DLPMicrosoft Purview DLPagainst: Symantec Data Loss PreventionMicrosoft Purview DLPagainst: Acronis DeviceLock DLP, Check Point DLP, MyDLP, Nightfall AI, OpenDLP, Proofpoint Enterprise DLP, SecureTrust DLP, Zscaler Internet Access
Four alternatives
Cyberhaven, Forcepoint DLP, Nightfall AI, Symantec Data Loss PreventionTwo alternatives
Forcepoint DLP, Symantec Data Loss PreventionSeven alternatives
Digital Guardian, Forcepoint DLP, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Varonis Data Security Platform, Zscaler Internet AccessOne alternative
Forcepoint DLPSeven alternatives
Forcepoint DLP, Fortra DLP, Netskope DLP, Palo Alto Networks Enterprise DLP, Proofpoint Enterprise DLP, Teramind DLP, Zscaler Internet AccessGrok 4.1 FastForcepoint DLPForcepoint DLPHeldno first choiceMicrosoft Purview DLPagainst: CrowdStrike Falcon, Safetica, Symantec Data Loss PreventionMicrosoft Purview DLPagainst: Forcepoint DLP, McAfee DLP, Microsoft Purview DLP, Netwrix Endpoint Protector, Securetrust, Symantec Data Loss Prevention, Trellix DLP
Three alternatives
Digital Guardian, Proofpoint Enterprise DLP, Symantec Data Loss PreventionThree alternatives
Microsoft Purview DLP, Proofpoint Enterprise DLP, Symantec Data Loss PreventionOne alternative
Forcepoint DLPThree alternatives
Forcepoint DLP, Netskope DLP, Proofpoint Enterprise DLPMistral SmallTrellix DLPSymantec Data Loss Prevention, Trellix DLPChangedMicrosoft Purview DLPMicrosoft Purview DLPagainst: Forcepoint DLP, Symantec Data Loss Preventionno first choiceagainst: Check Point Data Loss Prevention, Digital Guardian Endpoint DLP, Symantec Data Loss Prevention, Trellix DLP
Two alternatives
Forcepoint DLP, StracTwo alternatives
Forcepoint DLP, Microsoft Purview DLPThree alternatives
Check Point DLP, Forcepoint DLP, Symantec Data Loss PreventionDeepSeek V4 FlashForcepoint DLPForcepoint DLP, Symantec Data Loss PreventionChangedForcepoint DLPagainst: Symantec Data Loss PreventionMicrosoft Purview DLPagainst: Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Trellix DLPno first choiceagainst: Digital Guardian, Forcepoint DLP, Fortra DLP, Microsoft Purview DLP, Symantec Data Loss Prevention
Four alternatives
Microsoft Purview DLP, Netskope DLP, Symantec Data Loss Prevention, Zscaler Internet AccessTwo alternatives
Microsoft Purview DLP, Trellix DLPSix alternatives
Cyberhaven, Fortra's Digital Guardian, Microsoft Purview DLP, Netskope DLP, Nightfall AI, Zscaler Internet AccessTwo alternatives
Forcepoint DLP, Netskope DLPSeven alternatives
Cyberhaven, Digital Guardian, Forcepoint DLP, Microsoft Purview DLP, Netskope DLP, Nightfall AI, Zscaler Internet AccessLlama 4 MaverickStracSymantec Data Loss PreventionChangedno first choiceForcepoint DLP, Symantec Data Loss PreventionMicrosoft Purview DLPagainst: Securetrust
Four alternatives
Forcepoint DLP, Microsoft Purview DLP, Proofpoint Enterprise DLP, Symantec Data Loss PreventionThree alternatives
Forcepoint DLP, Microsoft Purview DLP, Nightfall AIFour alternatives
Cyera, Forcepoint DLP, Netwrix Endpoint Protector, Symantec Data Loss PreventionQwen 3.7 FlashMicrosoft Purview Information ProtectionForcepoint DLPChangedDigital Guardian DLP, Forcepoint DLP, Proofpoint Enterprise DLP, Symantec Data Loss PreventionMicrosoft Purview DLPagainst: Forcepoint DLP, McAfee DLP, Symantec Data Loss Preventionno first choiceagainst: Symantec Data Loss Prevention
Three alternatives
Digital Guardian, Forcepoint DLP, Netskope DLPThree alternatives
Microsoft Purview DLP, Netskope DLP, Symantec Data Loss PreventionThree alternatives
Cyberhaven, Trellix DLP, Zscaler Internet AccessThree alternatives
Talisma, Tessian, Zscaler Internet AccessKimi K2Microsoft Purview DLPMicrosoft Purview DLP, Proofpoint Enterprise DLPChangedMicrosoft Purview DLPMicrosoft Purview DLPagainst: Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Preventionno first choiceagainst: Digital Guardian, Forcepoint DLP, Symantec Data Loss Prevention
Three alternatives
Forcepoint DLP, Proofpoint Enterprise DLP, Symantec Data Loss PreventionFour alternatives
Forcepoint DLP, Netskope DLP, Symantec Data Loss Prevention, Zscaler Internet AccessSix alternatives
Forcepoint DLP, Fortra DLP, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Trellix DLPTwo alternatives
Forcepoint DLP, Zscaler Internet AccessGLM 4.7 FlashXMicrosoft Purview DLPMicrosoft Purview DLPHeldno first choiceMicrosoft Purview DLPno first choiceagainst: Symantec Data Loss Prevention
Three alternatives
Forcepoint DLP, Nightfall AI, Symantec Data Loss PreventionThree alternatives
Forcepoint DLP, Netskope DLP, Symantec Data Loss PreventionFive alternatives
Digital Guardian, Forcepoint DLP, Microsoft Purview DLP, Varonis Data Security Platform, Zscaler Internet AccessTwo alternatives
Fortra DLP, Netskope DLPMiniMax M2.5Microsoft Purview DLP, Proofpoint Enterprise DLPMicrosoft Purview DLPChangedSymantec Data Loss PreventionMicrosoft Purview DLPagainst: Forcepoint DLP, Fortra DLP, Symantec Data Loss Prevention, Trellix DLPno first choiceagainst: Forcepoint DLP, Microsoft Purview DLP, Symantec Data Loss Prevention
Five alternatives
Cloudflare One, Netskope DLP, Symantec Data Loss Prevention, Trellix DLP, Zscaler Internet AccessTwo alternatives
Forcepoint DLP, Symantec Data Loss PreventionSix alternatives
Cyberhaven, Forcepoint DLP, Microsoft Purview DLP, Nightfall AI, Proofpoint Enterprise DLP, Trellix DLPGPT-6 LunaMicrosoft Purview DLP, Netskope DLPNetskope DLPChangedno first choiceagainst: Google Cloud Sensitive Data ProtectionForcepoint DLPno first choiceagainst: Microsoft Purview DLP, Netskope Endpoint DLP, Palo Alto Networks Enterprise DLP
Two alternatives
Forcepoint DLP, Proofpoint Enterprise DLPOne alternative
Microsoft Purview DLPSeven alternatives
Forcepoint DLP, Microsoft Purview DLP, Netskope DLP, Palo Alto Networks Enterprise DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Trellix DLPTwo alternatives
Microsoft Purview DLP, Netskope DLPOne alternative
Microsoft Purview DLPMuse Glimmer 30BMicrosoft Purview DLPMicrosoft Purview DLPHeldno first choiceMicrosoft Purview DLPagainst: Forcepoint DLP, Netskope DLPno first choiceagainst: Check Point Data Loss Prevention, Forcepoint DLP, Microsoft Purview DLP, Symantec Data Loss Prevention, Trellix DLP
Two alternatives
Forcepoint DLP, Netskope DLPTwo alternatives
Forcepoint DLP, Symantec DLP, BroadcomOne alternative
Symantec Cloud DLPThree alternatives
Forcepoint DLP, Microsoft Purview DLP, Netskope DLPBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:53 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:53 | yes | 3 | 8 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:04 | yes | 22 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:19 | yes | 19 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:05 | yes | 25 | 6 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:47 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:20 | yes | 21 | 29 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:07 | yes | 8 | 6 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:56 | no | 0 | 37 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:31 | yes | 18 | 38 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:33 | yes | 14 | 47 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:44 | yes | 21 | 78 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:05 | yes | 5 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:41 | yes | 14 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:06 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:20 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:28 | yes | 12 | 19 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 12:32 | yes | 18 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:08 | yes | 20 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:41 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:46 | yes | 19 | 27 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:51 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:52 | yes | 7 | 31 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:56 | yes | 14 | 18 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:53 | yes | 24 | 30 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:20 | yes | 10 | 30 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:47 | yes | 2 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:34 | yes | 14 | 24 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:26 | yes | 17 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:49 | yes | 9 | 12 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:58 | yes | 23 | 27 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:49 | yes | 20 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:24 | yes | 23 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:17 | yes | 22 | 19 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:58 | yes | 16 | 46 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:36 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:32 | yes | 15 | 47 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:10 | yes | 14 | 34 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:04 | no | 0 | 53 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:45 | yes | 19 | 58 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:40 | yes | 8 | 33 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:03 | yes | 14 | 33 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:32 | yes | 18 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:46 | yes | 4 | 8 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:45 | yes | 15 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:02 | yes | 20 | 5 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:50 | yes | 19 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:07 | yes | 19 | 9 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:27 | yes | 19 | 31 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:32 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:10 | no | 0 | 41 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:56 | yes | 22 | 26 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:11 | yes | 22 | 64 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:18 | yes | 19 | 50 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:45 | yes | 3 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:12 | yes | 21 | 47 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:46 | yes | 19 | 14 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:42 | no | 0 | 12 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:51 | yes | 9 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 12:25 | yes | 20 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:26 | yes | 15 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:23 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:56 | yes | 23 | 39 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:06 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:13 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:29 | yes | 25 | 38 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:19 | yes | 22 | 50 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:59 | yes | 10 | 25 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:05 | yes | 4 | 20 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:54 | yes | 14 | 26 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:58 | yes | 25 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:25 | yes | 3 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:53 | yes | 16 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 12:29 | yes | 20 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:33 | yes | 25 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:41 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:49 | yes | 12 | 57 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:25 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:31 | yes | 10 | 39 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:38 | yes | 24 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:28 | yes | 21 | 41 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:15 | yes | 24 | 51 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:58 | yes | 3 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:04 | yes | 15 | 23 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Broadcom (Symantec) DLP read as Symantec Data Loss Prevention
Forcepoint read as Forcepoint DLP
Forcepoint (formerly Websense) read as Forcepoint DLP
Forcepoint DLP Suite read as Forcepoint DLP
Forcepoint Data Security / DLP read as Forcepoint DLP
Fortra read as Fortra DLP
Fortra Digital Guardian read as Fortra DLP
McAfee read as McAfee DLP
McAfee (Trellix) read as McAfee DLP
Microsoft Purview read as Microsoft Purview DLP
Microsoft Purview (formerly Microsoft Information Protection) read as Microsoft Purview DLP
Netskope read as Netskope DLP
Nightfall read as Nightfall AI
Palo Alto Enterprise DLP read as Palo Alto Networks Enterprise DLP
Proofpoint read as Proofpoint Enterprise DLP
Symantec read as Symantec Data Loss Prevention
Symantec (Broadcom) read as Symantec Data Loss Prevention
Symantec/Broadcom read as Symantec Data Loss Prevention
Teramind read as Teramind DLP
Trellix read as Trellix DLP
Trellix (McAfee) DLP read as Trellix DLP
Trellix Data Loss Prevention read as Trellix DLP
Trellix Data Loss Prevention (formerly McAfee Total Protection for DLP) read as Trellix DLP
Varonis read as Varonis Data Security Platform
Zscaler read as Zscaler Internet Access
Zscaler DLP read as Zscaler Internet Access
Zscaler Data Protection read as Zscaler Internet Access
Zscaler Data Protection (DLP) read as Zscaler Internet Access
Unresolved, counted raw
Code42 Incyte
Digital Guardian DLP
Lookout DLP
Netskope Endpoint DLP
Proofpoint Email DLP
Symantec Cloud DLP
Symantec DLP, Broadcom
Talisma (Data Dynamics)
Zscaler DLP Cloud
Zscaler Data Loss Prevention
Zscaler Zero Trust Exchange Platform
Discontinued, still offered
No shut-down product was recommended here.