Data loss prevention for small business buyers
Asked as “data loss prevention platform”, and as “DLP tool”, on behalf of a small B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
35%
Contested · CurrentWare 19%
35Microsoft Purview DLP19CurrentWare15Safetica31others
35% of first choices, contested.
Since September 2026▲+2Since September 2026: 30% → 31%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Microsoft Purview DLP held the lead, +2 points on 30%, 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.This pageMid-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.Standing →
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.This pageMid-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.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Microsoft Purview DLP35%16%49endorsed leader▲+2Since September 2026: 30% → 31%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.30% → 31%
Microsoft Purview DLP35%16%49endorsed leader▲+2Since September 2026: 30% → 31%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.30% → 31%02
CurrentWare19%0%43accepted challenger▼−2Since September 2026: 20% → 19%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.20% → 19%
CurrentWare19%0%43accepted challenger▼−2Since September 2026: 20% → 19%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.20% → 19%03
Safetica15%2%50accepted challenger▲+2Since September 2026: 13% → 15%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 15%
Safetica15%2%50accepted challenger▲+2Since September 2026: 13% → 15%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.13% → 15%04
Nightfall AI9%0%43accepted challenger▼−1Since September 2026: 11% → 10%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 10%
Nightfall AI9%0%43accepted challenger▼−1Since September 2026: 11% → 10%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 10%05
Google Workspace DLP Lab in the set4%0%14accepted challenger▼−1Since September 2026: 6% → 4%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 4%
Google Workspace DLP Lab in the set4%0%14accepted challenger▼−1Since September 2026: 6% → 4%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 4%06
miniOrange DLP4%0%15accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
miniOrange DLP4%0%15accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%07
Netwrix Endpoint Protector2%16%38accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Netwrix Endpoint Protector2%16%38accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%08
Proofpoint Enterprise DLP2%85%13criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Proofpoint Enterprise DLP2%85%13criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the three products at 0%, ordered by negative rate
11
Symantec Data Loss Prevention0%87%31criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Symantec Data Loss Prevention0%87%31criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
Trellix DLP0%80%10criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Trellix DLP0%80%10criticized 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
Forcepoint DLP0%71%28criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Forcepoint DLP0%71%28criticized 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.
Google Workspace DLP is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models two times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
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
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Microsoft Purview DLP35%
Microsoft Purview DLP35%02CurrentWare19%
CurrentWare19%03Safetica15%
Safetica15%04Nightfall AI9%
Nightfall AI9%05Google Workspace DLP4%
Google Workspace DLP4%06miniOrange DLP4%
miniOrange DLP4%07Netwrix Endpoint Protector2%
Netwrix Endpoint Protector2%08Proofpoint Enterprise DLP2%
Proofpoint Enterprise DLP2%09Trellix DLP0%
Trellix DLP0%10Forcepoint DLP0%
Forcepoint DLP0%11Symantec Data Loss Prevention0%
Symantec Data Loss Prevention0%What they warned about
Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX and Muse Glimmer 30B 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 Prevention87%
27 of 31 labels negative · 14 of 14 models · 11 hard negative
“Avoid enterprise‑heavy DLP platforms like **Symantec DLP, Forcepoint, Proofpoint, Cyberhaven, and Fortra's Digital Guardian** if you're a small business.” GLM 4.7 FlashX, negative prompt
Forcepoint DLP71%
20 of 28 labels negative · 10 of 14 models · 10 hard negative
“Avoid enterprise‑heavy DLP platforms like **Symantec DLP, Forcepoint, Proofpoint, Cyberhaven, and Fortra's Digital Guardian**” GLM 4.7 FlashX, negative prompt
Proofpoint Enterprise DLP85%
11 of 13 labels negative · 10 of 14 models · 8 hard negative
“Proofpoint and Symantec, as they are expensive, have a steep learning curve, and are resource-intensive to deploy.” Llama 4 Maverick, negative prompt
Microsoft Purview DLP16%
8 of 49 labels negative · 6 of 14 models
“**Microsoft Purview** if you’re expecting a simple, all-in-one DLP switch... Get a feature-by-feature license check before buying or upgrading.” GPT-6 Luna, 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
79 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. 1054 links across 183 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 · CurrentWare57 answers · 81 citations · 12 models
vendor site · miniOrange39 answers · 52 citations · 12 models
vendor site · Kickidler36 answers · 38 citations · 11 models
31 answers · 32 citations · 9 models
vendor site · Forcepoint30 answers · 46 citations · 10 models
vendor site · G230 answers · 30 citations · 11 models
vendor site · UnderDefense29 answers · 31 citations · 10 models
28 answers · 41 citations · 10 models
vendor site · Strac24 answers · 28 citations · 11 models
vendor site · FitGap24 answers · 25 citations · 8 models
vendor site · Check Point22 answers · 22 citations · 11 models
vendor site · G221 answers · 36 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.
56 answers · 12 models
35 answers · 11 models
35 answers · 11 models
31 answers · 9 models
30 answers · 11 models
29 answers · 10 models
27 answers · 9 models
23 answers · 10 models
23 answers · 8 models
22 answers · 11 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 35%, Microsoft 365 0% | 35% | 176 | 2,240,000 | 403,136 | ||||
| CurrentWare currentware.com | 19% | 71 | 210 | 3 | 15,193 | 8 | ||
| Safetica safetica.com | 15% | 120 | 170 | 10 | 515 | 4 | ||
| Nightfall nightfall.ai Nightfall AI 9% | 9% | 108 | 1,000 | 38 | 43,377 company | $23,730 | 26 | |
| Google Workspace workspace.google.com Google Workspace DLP 4% | 4% | 17 | 368,000 | 7,422 | 40,583,075 | $2,344 | ||
| miniOrange DLP miniorange.com | 4% | 23 | 10 | 0 | 48,290 | 17 | ||
| Netwrix Endpoint Protector netwrix.com | 2% | 57 | 110 | 1 | 104,208 | $3,789 | 120 | |
| Coro coro.net | 2% | 111 | 49,500 | 4,833 | 3,791 | 3 | ||
| Strac strac.io | 2% | 85 | 3,600 | 26 | 6,518 | 1 | 3 | |
| ManageEngine parent site ManageEngine Endpoint DLP Plus 2% | 2% | 6 | 8,100 | 675 |
Google's top ten for the three searches hold 22 sites; 4 of them are among the sites the models cited here (checkpoint.com, forcepoint.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 a small B2B company?”Paraphrase“Which DLP tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top data loss prevention platforms for a small team and how do they differ?”Budget-constrained“What is the best data loss prevention platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a data loss prevention platform. What should we look at?”Negative“Which data loss prevention platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5no first choiceMicrosoft Purview DLP, Proofpoint Enterprise DLPChangedCurrentWare, SafeticaCurrentWareno first choiceagainst: Digital Guardian Endpoint DLP, Microsoft Purview DLP, Proofpoint Enterprise DLP, Safetica, Symantec Data Loss Prevention, Teramind DLP, Trellix DLP
Three alternatives
Cyberhaven, Microsoft Purview DLP, Netwrix Endpoint ProtectorThree alternatives
Microsoft Purview DLP, Nightfall AI, SafeticaGPT-5.4 miniGoogle Workspace DLP, Microsoft Purview DLPagainst: CohesityMicrosoft Purview DLPChangedMicrosoft Purview DLPagainst: Symantec Data Loss PreventionMicrosoft Purview DLPagainst: CrowdStrikeno first choiceagainst: Symantec Data Loss Prevention
One alternative
Forcepoint DLPOne alternative
Google Workspace DLPThree alternatives
Forcepoint DLP, Google Workspace DLP, Netskope DLPOne alternative
Google Workspace DLPGemini 3.5 FlashMicrosoft Purview DLPagainst: Symantec Data Loss Prevention, Trellix DLPNightfall AIChangedagainst: Forcepoint DLP, Symantec Data Loss PreventionCoroagainst: Forcepoint DLP, Microsoft Purview DLP, Symantec Data Loss Prevention, Trellix DLPMicrosoft Purview DLPagainst: Forcepoint DLP, Symantec Data Loss PreventionNightfall AIagainst: Forcepoint DLP, Symantec Data Loss Prevention, Trellix DLPagainst: Forcepoint DLP, Fortra DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Trellix DLP
Four alternatives
Kitecyber, Netwrix Endpoint Protector, Nightfall AI, SafeticaTwo alternatives
Microsoft Purview DLP, SafeticaThree alternatives
Netwrix Endpoint Protector, Nightfall AI, SafeticaFour alternatives
CurrentWare, ManageEngine Endpoint DLP Plus, Nightfall AI, SafeticaSix alternatives
Coro, Google Workspace DLP, Kitecyber, Microsoft Purview DLP, Netwrix Endpoint Protector, SafeticaPerplexity SonarCoroagainst: Forcepoint DLP, Symantec Data Loss PreventionSafeticaChangedSafeticaagainst: Check Point, Forcepoint DLP, Microsoft Purview DLP, Symantec Data Loss PreventionminiOrange DLPno first choiceagainst: Cyberhaven, Cyera, Microsoft Purview DLP, Proofpoint Enterprise DLP, Securetrust, Trellix DLP, Varonis Data Security Platform
Five alternatives
AvePoint Confidence Platform, CurrentWare, Nightfall AI, Safetica, miniOrange DLPThree alternatives
Microsoft Purview DLP, Netwrix Endpoint Protector, Nightfall AIThree alternatives
CurrentWare, Netwrix Endpoint Protector, Nightfall AIFour alternatives
CurrentWare, Microsoft Purview DLP, Netwrix Endpoint Protector, Nightfall AIGrok 4.1 FastSafeticaNetwrix Endpoint ProtectorChangedagainst: Forcepoint DLP, Proofpoint Enterprise DLPCurrentWare, Safeticaagainst: Microsoft Purview DLP, Netwrix Endpoint ProtectorCurrentWare, Nightfall AIagainst: Forcepoint DLP, Symantec Data Loss PreventionCurrentWare, Mimecast, Safeticaagainst: Digital Guardian, McAfee DLPagainst: Check Point DLP, Forcepoint DLP, Fortra's Digital Guardian, Kaspersky, Microsoft Purview DLP, Netwrix Endpoint Protector, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Teramind DLP
Two alternatives
CurrentWare, Netwrix Endpoint ProtectorOne alternative
CurrentWareOne alternative
Nightfall AITwo alternatives
Netwrix Endpoint Protector, SafeticaTwo alternatives
Forcepoint DLP, Microsoft Purview DLPMistral SmallCurrentWareNightfall AI, miniOrange DLPChangedCurrentWareagainst: Netwrix Endpoint Protector, Zscaler Internet AccessCurrentWareno first choiceagainst: Acronis Cyber Protect, Forcepoint DLP, Netwrix Endpoint Protector, Proofpoint Enterprise DLP, Symantec Data Loss Prevention
Four alternatives
Coro, Netwrix Endpoint Protector, Nightfall AI, SafeticaTwo alternatives
Kickidler DLP, Netwrix Endpoint ProtectorThree alternatives
AvePoint Confidence Platform, Nightfall AI, SafeticaThree alternatives
Nightfall AI, Safetica, miniOrange DLPDeepSeek V4 FlashSafeticaSafeticaHeldagainst: Fortra DLPGoogle Workspace DLP, Microsoft Purview DLPSafeticano first choiceagainst: Cyberhaven, Forcepoint DLP, Symantec Data Loss Preventionagainst: Forcepoint DLP, Fortra DLP, Palo Alto Networks Enterprise DLP, Symantec Data Loss Prevention, Trellix DLP
Three alternatives
CurrentWare, Native DLP built into Microsoft 365 / Google Workspace, Nightfall AITwo alternatives
CurrentWare, ManageEngine DataSecurity PlusThree alternatives
Code42 Incydr, Forcepoint DLP, miniOrange DLPThree alternatives
CurrentWare, Microsoft 365, Nightfall AISix alternatives
CurrentWare, Google DLP, ManageEngine DLP Plus, Microsoft Purview DLP, Nightfall AI, SafeticaLlama 4 Maverickno first choiceCurrentWareChangedCurrentWareManageEngine Endpoint DLP Plusno first choiceagainst: Proofpoint Enterprise DLP, Securetrust, Symantec Data Loss Prevention
Five alternatives
AvePoint Confidence Platform, Netwrix 1Secure, Safetica, Zscaler Internet Access, miniOrange DLPThree alternatives
Netwrix Endpoint Protector, Nightfall AI, SafeticaTwo alternatives
Teramind DLP, Veeam Data PlatformQwen 3.7 FlashMicrosoft Purview DLPStracChangedCurrentWare, Nightfall AIagainst: Cisco, Symantec Data Loss PreventionGoogle Workspace DLP, Microsoft Defender XDR, Microsoft Purview DLPagainst: OpenDLPMicrosoft Purview Information Protectionagainst: Digital Guardian, Forcepoint DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention
Three alternatives
CurrentWare, Safetica, StracThree alternatives
CurrentWare, Nightfall AI, miniOrange DLPTwo alternatives
Netwrix Endpoint Protector, Trend Micro Worry-Free ServicesThree alternatives
Netwrix Endpoint Protector, Nightfall AI, SafeticaFive alternatives
CurrentWare, Netskope DLP, Safetica, Tenable Vulnerability Management, Zscaler Private AccessKimi K2CurrentWare, Microsoft Purview DLPMicrosoft Purview DLPChangedCurrentWare, Safeticaagainst: Netwrix Endpoint ProtectorNightfall AIagainst: Symantec Data Loss PreventionMicrosoft Purview DLPagainst: Digital Guardian, Forcepoint DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention
Three alternatives
Forcepoint DLP, ManageEngine Endpoint DLP Plus, SomansaTwo alternatives
Forcepoint DLP, Somansa Cloud DLPOne alternative
Nightfall AIThree alternatives
CurrentWare, Microsoft Purview DLP, Safetica ONEThree alternatives
CurrentWare, Netskope DLP, SafeticaGLM 4.7 FlashXMicrosoft Purview DLPSafeticaChangedNightfall AICurrentWareno first choiceagainst: Cyberhaven, Forcepoint DLP, Fortra's Digital Guardian, Proofpoint Enterprise DLP, Symantec Data Loss Prevention
Two alternatives
CurrentWare, SafeticaTwo alternatives
Microsoft Purview DLP, miniOrange DLPThree alternatives
CurrentWare, Netwrix Endpoint Protector, SafeticaTwo alternatives
Safetica, miniOrange DLPMiniMax M2.5Microsoft Purview DLPMicrosoft Purview DLPHeldno first choiceCurrentWare, Microsoft Purview DLPno first choiceagainst: Check Point DLP, Cisco DLP, Forcepoint DLP, IBM Data Loss Prevention, Kaspersky Endpoint Security, Microsoft Purview DLP, Netwrix Endpoint Protector, Symantec Data Loss Prevention
Two alternatives
Check Point Data Loss Prevention, Forcepoint Data Loss PreventionThree alternatives
DigitalGuardian, Symantec Data Loss Prevention, Trend MicroThree alternatives
Netwrix Endpoint Protector, Nightfall AI, SafeticaGPT-6 LunaMicrosoft Purview DLPMicrosoft Purview DLPHeldGoogle Workspace DLP, Microsoft Purview DLPMicrosoft Purview DLPno first choiceagainst: Google Workspace’s built-in DLP, Microsoft Purview DLP, Symantec Data Loss Prevention
Two alternatives
Google Workspace DLP, SafeticaOne alternative
Google Workspace DLPTwo alternatives
Netwrix Endpoint Protector, Nightfall AIOne alternative
Google Workspace DLPMuse Glimmer 30BCurrentWareagainst: Forcepoint DLP, Symantec Data Loss PreventionMicrosoft Purview DLPChangedagainst: Forcepoint DLP, Symantec Data Loss PreventionMicrosoft Purview DLPagainst: OpenDLPSafeticaagainst: OpenDLPno first choiceagainst: Forcepoint DLP, IBM Data Security / Guardium, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Teramind DLP, Trellix DLP, Zscaler Internet Access
Four alternatives
Kickidler DLP, Nightfall AI, Safetica, miniOrange DLPFour alternatives
CurrentWare, Netwrix Endpoint Protector, Nightfall AI, SafeticaFour alternatives
CurrentWare, Netwrix Endpoint Protector, Nightfall AI, miniOrange DLPThree alternatives
CurrentWare, Microsoft Purview DLP, Nightfall AITwo alternatives
Microsoft Purview DLP, SafeticaBold 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 12:05 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:46 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:18 | yes | 14 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 12:18 | yes | 20 | 6 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:07 | yes | 19 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:59 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:11 | yes | 24 | 43 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:08 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:30 | yes | 14 | 40 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:55 | yes | 16 | 29 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:14 | yes | 21 | 48 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:56 | yes | 5 | 16 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:40 | yes | 3 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:47 | yes | 11 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:06 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:00 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:20 | yes | 15 | 26 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:36 | yes | 20 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:23 | yes | 19 | 5 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:42 | yes | 5 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:12 | yes | 22 | 39 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:18 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:13 | yes | 5 | 23 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:20 | yes | 15 | 17 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:27 | yes | 24 | 91 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:58 | yes | 10 | 55 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:29 | yes | 3 | 9 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:11 | yes | 19 | 25 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:28 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:52 | yes | 4 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:27 | yes | 9 | 22 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:48 | yes | 20 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:59 | yes | 21 | 7 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:52 | yes | 18 | 12 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:34 | yes | 23 | 29 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:51 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:10 | yes | 10 | 31 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:40 | yes | 20 | 24 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:08 | yes | 25 | 86 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:58 | yes | 14 | 82 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:53 | yes | 5 | 19 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:44 | yes | 13 | 24 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:20 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:59 | yes | 4 | 11 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:15 | yes | 23 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 13:38 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:36 | yes | 17 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:27 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:48 | yes | 23 | 32 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:34 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:53 | yes | 15 | 53 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:40 | yes | 24 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:44 | yes | 23 | 39 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:10 | yes | 9 | 24 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:22 | yes | 4 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:22 | yes | 13 | 23 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:41 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:20 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:14 | yes | 9 | 22 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:01 | yes | 14 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:16 | yes | 14 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:43 | no | 0 | 11 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:41 | yes | 21 | 43 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:51 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:38 | yes | 10 | 61 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:06 | yes | 21 | 24 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:11 | yes | 14 | 21 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:57 | yes | 9 | 17 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:54 | yes | 5 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:51 | yes | 13 | 37 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:08 | yes | 16 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:27 | yes | 6 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:35 | yes | 20 | 21 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:24 | yes | 24 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:52 | yes | 20 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:15 | yes | 11 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:47 | yes | 23 | 38 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:11 | yes | 5 | 1 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:54 | yes | 12 | 44 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:20 | yes | 22 | 30 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:09 | yes | 11 | 26 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:11 | yes | 22 | 73 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:15 | yes | 3 | 27 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:41 | yes | 10 | 20 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Broadcom read as Symantec Data Loss Prevention
Broadcom (Symantec) DLP read as Symantec Data Loss Prevention
Broadcom Symantec read as Symantec Data Loss Prevention
Broadcom/Symantec read as Symantec Data Loss Prevention
Forcepoint read as Forcepoint DLP
Fortra Digital Guardian read as Fortra DLP
Google Workspace read as Google Workspace DLP
Kickidler read as Kickidler DLP
McAfee read as McAfee DLP
Microsoft 365 Business Premium read as Microsoft 365
Microsoft Purview read as Microsoft Purview DLP
MiniOrange read as miniOrange DLP
Netskope read as Netskope DLP
Netwrix read as Netwrix Endpoint Protector
Nightfall read as Nightfall AI
Palo Alto Networks DLP read as Palo Alto Networks Enterprise DLP
Proofpoint read as Proofpoint Enterprise DLP
Proofpoint (Full Suite) read as Proofpoint Enterprise DLP
Symantec read as Symantec Data Loss Prevention
TERAMIND read as Teramind DLP
Teramind read as Teramind DLP
Trellix read as Trellix DLP
Trellix Data Loss Prevention read as Trellix DLP
Varonis read as Varonis Data Security Platform
Zscaler DLP read as Zscaler Internet Access
miniOrange read as miniOrange DLP
Unresolved, counted raw
Cisco DLP (via Cisco Umbrella / Firepower)
Digital Guardian Endpoint DLP, Fortra
DigitalGuardian
Fortinet FortiDLP
Google Workspace’s built-in DLP
IBM Data Loss Prevention (Guardium)
IBM Data Security / Guardium
ManageEngine DLP Plus
McAfee Total Protection
McAfee Total Protection for DLP
Microsoft Information Protection
Native DLP built into Microsoft 365 / Google Workspace
Somansa
Somansa Cloud DLP
Trend Micro Integrated DLP
Discontinued, still offered
No shut-down product was recommended here.