Data loss prevention
Asked as “data loss prevention platform”, and as “DLP tool”, on behalf of a mid-market B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
46%
Clear leader
46Microsoft Purview DLP15Safetica07Forcepoint DLP31others
46% of first choices, clear leader.
Since September 2026▲+9Since September 2026: 39% → 48%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Microsoft Purview DLP held the lead, +9 points on 39%, 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.This pageEnterpriseMicrosoft 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.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.This pageEnterpriseMicrosoft 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 mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Microsoft Purview DLP46%14%56endorsed leader▲+9Since September 2026: 39% → 48%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.39% → 48%
Microsoft Purview DLP46%14%56endorsed leader▲+9Since September 2026: 39% → 48%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.39% → 48%02
Safetica15%8%26accepted challenger▼−3Since September 2026: 16% → 13%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 13%
Safetica15%8%26accepted challenger▼−3Since September 2026: 16% → 13%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 13%03
Forcepoint DLP7%26%43criticized challenger▲+5Since September 2026: 4% → 9%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 9%
Forcepoint DLP7%26%43criticized challenger▲+5Since September 2026: 4% → 9%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 9%04
Netskope DLP6%0%24accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%
Netskope DLP6%0%24accepted challenger▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 4%05
Nightfall AI2%4%24accepted challenger▼−6Since September 2026: 8% → 2%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 2%
Nightfall AI2%4%24accepted challenger▼−6Since September 2026: 8% → 2%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 2%06
CurrentWare2%0%14accepted challenger▼−16Since September 2026: 18% → 2%, −16 points. Past the 11-point floor: movement. Read over the models both editions asked.18% → 2%
CurrentWare2%0%14accepted challenger▼−16Since September 2026: 18% → 2%, −16 points. Past the 11-point floor: movement. Read over the models both editions asked.18% → 2%07
Netwrix Endpoint Protector2%0%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Netwrix Endpoint Protector2%0%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%08
Proofpoint Enterprise DLP2%20%25accepted 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%20%25accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%09
Strac2%0%10accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Strac2%0%10accepted 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 six products at 0%, ordered by negative rate
15
Symantec Data Loss Prevention0%53%36criticized 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%53%36criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%14
Trellix DLP0%47%15criticized 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%47%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%13
Fortra DLP0%40%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%
Fortra DLP0%40%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%12
Digital Guardian0%24%17accepted 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%24%17accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%11
Zscaler Internet Access0%21%19accepted 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%21%19accepted 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
Cyberhaven0%0%12accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 0%
Cyberhaven0%0%12accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 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
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 →
010203040506070809101112131415Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Microsoft Purview DLP46%
Microsoft Purview DLP46%02Safetica15%
Safetica15%03Forcepoint DLP7%
Forcepoint DLP7%04Netskope DLP6%
Netskope DLP6%05Nightfall AI2%
Nightfall AI2%06CurrentWare2%
CurrentWare2%07Netwrix Endpoint Protector2%
Netwrix Endpoint Protector2%08Proofpoint Enterprise DLP2%
Proofpoint Enterprise DLP2%09Strac2%
Strac2%10Cyberhaven0%
Cyberhaven0%11Zscaler Internet Access0%
Zscaler Internet Access0%12Digital Guardian0%
Digital Guardian0%13Fortra DLP0%
Fortra DLP0%14Trellix DLP0%
Trellix DLP0%15Symantec 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, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 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 Prevention53%
19 of 36 labels negative · 9 of 14 models · 6 hard negative
“Since Broadcom’s acquisition of Symantec, support and licensing for smaller or mid-market customers have shifted ... smaller organizations often face high renewal costs ... subpar customer support.” Gemini 3.5 Flash, negative prompt
Forcepoint DLP26%
11 of 43 labels negative · 7 of 14 models · 3 hard negative
“rarely the heavy, legacy enterprise suite (like Broadcom/Symantec or traditional Forcepoint). Those legacy tools are notorious for requiring multi-month deployments” Gemini 3.5 Flash, direct prompt
Microsoft Purview DLP14%
8 of 56 labels negative · 6 of 14 models · 1 hard negative
“**When to avoid**: Non-Microsoft ecosystems or diverse file types/GenAI risks.” Grok 4.1 Fast, negative prompt
Trellix DLP47%
7 of 15 labels negative · 6 of 14 models · 1 hard negative
“Legacy, Heavy-Agent DLPs (e.g., Trellix/formerly McAfee, Broadcom/Symantec) ... these legacy giants require extreme caution ... Trellix, in particular, is widely criticized for heavy CPU and memory consumption.” Gemini 3.5 Flash, 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. 1027 links across 195 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 · Strac46 answers · 68 citations · 12 models
vendor site · Forcepoint39 answers · 82 citations · 12 models
vendor site · CurrentWare37 answers · 38 citations · 11 models
vendor site · G232 answers · 32 citations · 12 models
vendor site · UnderDefense31 answers · 33 citations · 10 models
vendor site · Check Point29 answers · 29 citations · 11 models
vendor site · miniOrange29 answers · 29 citations · 11 models
28 answers · 32 citations · 11 models
25 answers · 33 citations · 9 models
vendor site · Cyberhaven18 answers · 18 citations · 9 models
vendor site · Proofpoint16 answers · 17 citations · 10 models
vendor site · Kickidler15 answers · 15 citations · 10 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 · 11 models
32 answers · 12 models
31 answers · 10 models
30 answers · 10 models
29 answers · 11 models
28 answers · 11 models
25 answers · 9 models
21 answers · 9 models
19 answers · 9 models
17 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 46% | 46% | 176 | 2,240,000 | 403,136 | ||||
| Safetica safetica.com Safetica 15%, Safetica ONE 2% | 17% | 120 | 170 | 10 | 515 | 4 | ||
| Forcepoint forcepoint.com Forcepoint DLP 7% | 7% | 160 | 4,400 | 244 | 25,465 company | 52 | 2 | |
| Netskope netskope.com Netskope DLP 6% | 6% | 65 | 18,100 | 830 | 42,119 company | 27 | ||
| Netwrix 1Secure netwrix.com Netwrix Endpoint Protector 2%, Netwrix 1Secure 2% | 4% | 57 | 110 | 1 | 104,208 | $3,789 | 120 | |
| Nightfall nightfall.ai Nightfall AI 2% | 2% | 108 | 1,000 | 38 | 43,377 company | $23,730 | 26 | |
| CurrentWare currentware.com | 2% | 71 | 210 | 3 | 15,193 | 8 | ||
| Proofpoint parent site Proofpoint Enterprise DLP 2% | 2% | 66 | 27,100 | 1,488 | ||||
| Strac strac.io | 2% | 85 | 3,600 | 26 | 6,518 | 1 | 3 | |
| Coro coro.net | 2% | 111 | 49,500 | 4,833 | 3,791 | 3 |
Google's top ten for the three searches hold 22 sites; 6 of them are among the sites the models cited here (checkpoint.com, forcepoint.com, gartner.com, proofpoint.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 mid-market B2B company?”Paraphrase“Which DLP tool would you recommend to a mid-sized B2B company?”Comparative“What are the top data loss prevention platforms and how do they differ?”Budget-constrained“What is the best data loss prevention platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a data loss prevention platform. What should we look at?”Negative“Which data loss prevention platforms should I avoid or be cautious about?”
Claude Haiku 4.5Microsoft Purview DLP, SafeticaSafeticaChangedForcepoint Data Loss Prevention, Microsoft Purview DLPagainst: Symantec Data Loss PreventionMicrosoft Purview DLP, Nightfall DLPno first choicenothing named
Three alternatives
Microsoft Purview DLP, Netwrix Endpoint Protector, Nightfall AISix alternatives
CurrentWare, Digital Guardian, Netskope DLP, Nightfall AI, Teramind DLP, Zscaler Zero Trust Exchange PlatformFour alternatives
CurrentWare, Kickidler DLP, MyDLP, Safetica ONEGPT-5.4 miniMicrosoft Purview DLPMicrosoft Purview DLPHeldMicrosoft Purview DLPMicrosoft Purview DLPno first choiceagainst: CrowdStrike Falcon Data Protection, Forcepoint DLP, Microsoft Purview DLP
Two alternatives
Forcepoint DLP, Netskope DLPTwo alternatives
Forcepoint DLP, Netskope DLPFive alternatives
Forcepoint Data Security Cloud, Netskope One Platform, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Trellix DLPFour alternatives
Coro, Netwrix Endpoint Protector, Nightfall AI, SafeticaGemini 3.5 FlashNightfall AIagainst: Forcepoint DLP, Symantec Data Loss PreventionMicrosoft Purview DLPChangedagainst: Digital Guardian, Forcepoint DLP, Symantec Data Loss Preventionno first choiceMicrosoft Purview DLPagainst: Forcepoint DLP, Symantec Data Loss Preventionno first choiceagainst: Google Workspace DLP, Microsoft 365, Microsoft Purview DLPagainst: Microsoft Purview DLP, Symantec Data Loss Prevention, Trellix DLP
Three alternatives
Cyberhaven, Microsoft Purview DLP, SafeticaSix alternatives
Coro, Cyberhaven, Netwrix Endpoint Protector, Nightfall AI, Safetica, StracEight alternatives
Cyberhaven, Forcepoint DLP, Microsoft Purview DLP, Netskope DLP, Strac, Symantec Data Loss Prevention, WalledAI, Zscaler Internet AccessFour alternatives
Coro, Google Workspace DLP, Nightfall AI, SafeticaPerplexity SonarMicrosoft Purview DLP, StracForcepoint DLP, Microsoft Purview DLPChangedForcepoint DLP, Microsoft Purview DLP, Symantec Data Loss PreventionSafeticaagainst: AvePoint Confidence Platformno first choiceagainst: Acronis DeviceLock DLP, Check Point DLP, Digital Guardian, Fortra DLP, MyDLP, Nightfall AI, OpenDLP, Proofpoint Enterprise DLP, SecureTrust DLP, Zscaler Internet Access
Three alternatives
Forcepoint DLP, Nightfall AI, Varonis Data Security PlatformOne alternative
Netwrix 1SecureFour alternatives
Netskope DLP, Nightfall AI, Proofpoint Enterprise DLP, Zscaler Internet AccessTwo alternatives
CurrentWare, miniOrange DLPGrok 4.1 FastMicrosoft Purview DLPagainst: Symantec Data Loss PreventionMicrosoft Purview DLPHeldagainst: Symantec Data Loss Preventionno first choiceMicrosoft Purview DLP, SafeticaMicrosoft Purview DLPagainst: Forcepoint DLP, Fortra DLP, Microsoft Purview DLP, Symantec Data Loss Prevention
Three alternatives
CurrentWare, Forcepoint DLP, Netwrix Endpoint ProtectorTwo alternatives
CurrentWare, Forcepoint DLPTwo alternatives
MyDLP, OpenDLPSix alternatives
Forcepoint DLP, Netskope DLP, Safetica, Strac, Symantec Data Loss Prevention, Zscaler Internet AccessMistral SmallNetskope DLPForcepoint DLP, Proofpoint Enterprise DLPChangedno first choiceForcepoint DLPno first choiceagainst: Check Point Data Loss Prevention, Digital Guardian Endpoint DLP, Symantec Data Loss Prevention, Trellix DLP
Five alternatives
CurrentWare, Microsoft Purview DLP, Nightfall AI, Safetica, Zscaler Internet AccessTwo alternatives
Nightfall AI, SafeticaOne alternative
OpenDLPDeepSeek V4 FlashNetskope DLPagainst: Proofpoint Enterprise DLPSafeticaChangedMicrosoft Purview DLPagainst: Trellix DLP, Zscaler Internet AccessMicrosoft Defender for Cloud, Safeticaagainst: Forcepoint DLP, Microsoft 365 E5, Proofpoint Enterprise DLP, Symantec Data Loss Preventionno first choiceagainst: Forcepoint DLP, Fortra DLP, Microsoft Purview DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Trellix DLP, Zscaler Internet Access
Three alternatives
Fortra DLP, Next DLP, Nightfall AIFour alternatives
CurrentWare, Digital Guardian, Forcepoint DLP, Microsoft Purview DLPSeven alternatives
Forcepoint DLP, Fortra DLP, Netskope DLP, Nightfall AI DLP, Proofpoint Enterprise DLP, Strac, Symantec Data Loss PreventionThree alternatives
Kickidler DLP, ManageEngine Endpoint DLP Plus, Microsoft Purview DLPLlama 4 Maverickno first choiceUnderDefenseChangedno first choiceno first choiceno first choiceagainst: Safetica, Securetrust
Three alternatives
CurrentWare, G2, miniOrange DLPTwo alternatives
AvePoint Confidence Platform, Zscaler Internet AccessQwen 3.7 FlashNetwrix 1Secureagainst: Microsoft Purview DLP, Trellix XDRMicrosoft Purview DLPChangedagainst: Digital Guardian, Forcepoint DLP, Symantec Data Loss PreventionMicrosoft Purview DLPagainst: Symantec Data Loss PreventionCurrentWareagainst: Cisco Secure Endpoint, Forcepoint DLPMicrosoft Purview DLPagainst: Microsoft Purview DLP, Symantec Data Loss Prevention, Trellix DLP, older Forcepoint
Two alternatives
Forcepoint DLP, Varonis Data Security PlatformThree alternatives
CrowdStrike Falcon, Netskope DLP, WizTwo alternatives
Forcepoint DLP, Proofpoint Enterprise DLPFive alternatives
Fortra DLP, Microsoft Defender XDR, Microsoft Purview Info Protector, Proofpoint Enterprise DLP, Trellix DLPSix alternatives
Forcepoint DLP, Netskope DLP, Proofpoint Enterprise DLP, SentinelOne, Symantec Data Loss Prevention, Zscaler Internet AccessKimi K2Microsoft Purview DLPCoroChangedagainst: Microsoft Purview DLPno first choiceManageEngine Device Control Plus, Microsoft Purview DLPno first choiceagainst: Digital Guardian, Fortra DLP, Palo Alto Networks Enterprise DLP, Symantec Data Loss Prevention, Trellix DLP
Five alternatives
CurrentWare, Forcepoint DLP, Netwrix Endpoint Protector, Proofpoint Enterprise DLP, miniOrange DLPTwo alternatives
Nightfall AI, SafeticaEight alternatives
Digital Guardian, Forcepoint DLP, Microsoft Purview DLP, Netskope DLP, Proofpoint Enterprise DLP, Strac, Symantec Data Loss Prevention, Zscaler Internet AccessTwo alternatives
OpenDLP, SafeticaGLM 4.7 FlashXMicrosoft Purview DLPagainst: Symantec Data Loss Prevention, Trellix DLPForcepoint DLP, Microsoft Purview DLPChangedagainst: Symantec Data Loss PreventionMicrosoft Purview DLPMicrosoft Purview DLPno first choiceagainst: Forcepoint DLP, Symantec Data Loss Prevention
Five alternatives
CrowdStrike Falcon Data Protection, Forcepoint DLP, Netwrix Endpoint Protector, Nightfall AI, Proofpoint Enterprise DLPTwo alternatives
Netskope DLP, miniOrange DLPFour alternatives
Cisco Secure DLP, Digital Guardian, Forcepoint DLP, Symantec Data Loss PreventionFour alternatives
CrowdStrike Falcon Data Protection, Forcepoint DLP, Fortra's Digital Guardian, UnderDefenseMiniMax M2.5Next DLPMicrosoft Purview DLPChangedForcepoint DLP, Symantec Data Loss PreventionMicrosoft Purview DLP, Netwrix Endpoint Protectorno first choicenothing named
Two alternatives
Forcepoint DLP, Proofpoint Enterprise DLPThree alternatives
Digital Guardian, Microsoft Purview DLP, Proofpoint Enterprise DLPGPT-6 LunaMicrosoft Purview DLPMicrosoft Purview DLPHeldno first choiceMicrosoft Purview DLPno first choicenothing named
Two alternatives
Google's native protections for Workspace and Google Cloud, Netskope OneOne alternative
Netskope DLPEight alternatives
Cyberhaven, Forcepoint DLP, Microsoft Purview DLP, Netskope DLP, Palo Alto Networks Enterprise DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Zscaler Internet AccessOne alternative
Google\u2019s Drive DLPMuse Glimmer 30BSafetica, Safetica ONEagainst: Proofpoint Enterprise DLPNetskope DLPChangedSymantec DLP, now BroadcomKickidler DLP, Safeticano first choiceagainst: Check Point Harmony Email & Collaboration, Forcepoint DLP, McAfee DLP, RSA DLP, Safetica, Symantec Data Loss Prevention, Zscaler Internet Access
Three alternatives
CurrentWare, Zscaler Internet Access, miniOrange DLPTwo alternatives
Microsoft Purview DLP, Nightfall AINine alternatives
Digital Guardian, Forcepoint DLP, Microsoft Purview DLP, Microsoft Purview Information Protection, Nightfall AI, Proofpoint Enterprise Data Loss Prevention, Safetica, Strac, Trellix DLPSix alternatives
CurrentWare, ManageEngine Endpoint DLP Plus, MyDLP Community Edition, Netwrix Endpoint Protector, Nightfall AI, OpenDLPBold 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 09:27 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:18 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:51 | yes | 23 | 30 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:22 | yes | 19 | 5 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:20 | yes | 23 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:13 | yes | 7 | 7 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:56 | yes | 23 | 26 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:07 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:26 | yes | 15 | 54 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:59 | yes | 16 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:47 | yes | 15 | 28 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:07 | yes | 5 | 23 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:54 | yes | 3 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:42 | yes | 11 | 28 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:52 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:36 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:16 | yes | 11 | 19 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:51 | yes | 19 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:24 | yes | 18 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:19 | yes | 11 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:36 | yes | 19 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:07 | yes | 5 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:04 | no | 0 | 34 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:31 | yes | 14 | 24 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:35 | yes | 10 | 93 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:46 | yes | 5 | 16 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:43 | yes | 2 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:06 | yes | 13 | 17 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:57 | yes | 10 | 7 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:58 | yes | 6 | 11 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:51 | yes | 18 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 13:43 | yes | 20 | 8 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:04 | yes | 20 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:48 | yes | 8 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:42 | yes | 20 | 42 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:31 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:39 | yes | 14 | 34 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:00 | yes | 15 | 34 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:30 | yes | 25 | 78 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:26 | yes | 18 | 33 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:13 | yes | 8 | 29 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:02 | yes | 15 | 26 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:53 | yes | 16 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:22 | yes | 5 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:48 | yes | 27 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 12:59 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:12 | yes | 22 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:32 | yes | 13 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:01 | yes | 16 | 26 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:25 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:49 | yes | 11 | 24 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:01 | yes | 18 | 24 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:22 | yes | 13 | 37 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:13 | yes | 5 | 19 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:49 | yes | 2 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:57 | yes | 14 | 19 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:20 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:02 | no | 0 | 14 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:54 | no | 0 | 14 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:21 | yes | 14 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:29 | yes | 18 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:25 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:57 | yes | 15 | 38 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:08 | yes | 5 | 1 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:40 | no | 0 | 32 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:31 | yes | 24 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:22 | yes | 14 | 81 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:05 | no | 0 | 45 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:54 | yes | 2 | 14 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:20 | yes | 14 | 19 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:52 | yes | 19 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:26 | yes | 4 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:21 | yes | 17 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:59 | yes | 20 | 7 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:40 | yes | 22 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:14 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:38 | yes | 23 | 28 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:32 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:52 | yes | 15 | 49 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:38 | yes | 24 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:17 | yes | 22 | 19 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:02 | yes | 22 | 40 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:46 | yes | 2 | 20 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:22 | yes | 15 | 33 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 read as Symantec Data Loss Prevention
Broadcom (Symantec) DLP read as Symantec Data Loss Prevention
Broadcom/Symantec read as Symantec Data Loss Prevention
Forcepoint read as Forcepoint DLP
Fortra read as Fortra DLP
Fortra (Digital Guardian + Core) read as Fortra DLP
Fortra Digital Guardian read as Fortra DLP
Google Workspace read as Google Workspace DLP
Kickidler read as Kickidler DLP
McAfee (Trellix) read as McAfee DLP
Microsoft Purview read as Microsoft Purview DLP
Microsoft Purview (Data Loss Prevention) read as Microsoft Purview DLP
Microsoft Purview (formerly Microsoft Compliance) 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 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 (former McAfee Enterprise + FireEye) read as Trellix DLP
Trellix Data Loss Prevention 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
miniOrange read as miniOrange DLP
Unresolved, counted raw
Cisco Secure DLP
Cloudflare DLP
Egnyte Data Privacy Tools
Google Workspace Advanced Protection
Google's native protections for Workspace and Google Cloud
Google\u2019s Drive DLP
Microsoft Purview Info Protector
MyDLP Community Edition
Netskope Data Protection
Netskope One Platform
Nightfall AI DLP
Nightfall DLP
Proofpoint Enterprise Data Loss Prevention
RSA DLP
Symantec CloudSOC
Symantec DLP, now Broadcom
WalledAI
Zscaler Zero Trust Exchange Platform
older Forcepoint
Discontinued, still offered
No shut-down product was recommended here.