IT AI Index

Index › Products › McAfee DLP · October 2026 Edition

1 category · Named, not ranked

McAfee DLP

9Judge labels

0First choices

4Negative labels

5 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. McAfee DLP was named 3 times in DLP, where Microsoft Purview DLP led with 46%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business63 of 82

under the label threshold

Mid-market73 of 89

under the label threshold

Enterprise55 of 60

under the label threshold

In dlp · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named McAfee DLP for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Data loss prevention	Security operations	0%	73 of 89	33%	3	under 10 labels · led by Microsoft Purview DLP at 46%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, McAfee DLP held within the floor in its one category: no change cleared 11 points.

Best category · DLP · by segment

Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 54 → 62 of 77

Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 71 → 37 of 80

Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

0%from 0% in September 2026

Inside the floor by 11 pointsRank 32 → 51 of 55

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
DLP	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 71 → 73 of 89

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

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 · The editions

By model

How each model treated McAfee DLP across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.20	0	0	0
Mistral Small	2	0	2
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	1	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct1 labelNone

Paraphrase0 labelsNone

Comparative2 labelsNone

Budget-constrained1 labelNone

Scale-constrained3 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative9 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

No positive label carried a quote.

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“though it suffers from high CPU usage and false positives” Muse Glimmer 30B · DLP · negative prompt · soft negative

Named alongside

The products named in the same answers as McAfee DLP, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and McAfee DLP was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Forcepoint DLP9 of 90Not among the top eight

Symantec Data Loss Prevention8 of 90Not among the top eight

Microsoft Purview DLP7 of 91Not among the top eight

Digital Guardian6 of 90Not among the top eight

Netskope DLP6 of 90Not among the top eight

Zscaler Internet Access6 of 90Not among the top eight

Safetica2 of 91Not among the top eight

Cyberhaven2 of 90Not among the top eight

Proofpoint Enterprise DLP2 of 90Not among the top eight

CurrentWare1 of 91Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named McAfee DLP. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 4 of the 9 answers that named McAfee DLP and are not a share of its labels.

Domains cited

strac.io4

aimultiple.com3

checkpoint.com2

cyberhaven.com2

cyberstarit.com2

forcepoint.com2

g2.com2

mimecast.com2

nightfall.ai2

reddit.com2

Twenty-three of the twenty-three domain citations in answers naming McAfee DLP came from somebody else's page.

Pages cited

aimultiple.com/dlp-software3

strac.io/blog/top-7-data-loss-prevention-solutions-comparison-and-dlp-evaluation-checklist3

checkpoint.com/cyber-hub/threat-prevention/what-is-data-loss-prevention/top-6-data-loss-pr2

cyberstarit.com/blog/data-loss-prevention-tools-comparison2

forcepoint.com/blog/insights/best-dlp-software2

mimecast.com/content/top-dlp-solutions2

reddit.com/r/sysadmin/comments/6785w0/data_loss_prevention_solutions_any_experiences2

cio.economictimes.indiatimes.com/tools/best-dlp-software/1261365311

Pages are listed as the models cited them.

What it publishes

ShowHide

Addresses on mcafee.com

767

subdomains included

Content

759

counted in the table below

Documentation

Product · Integration

0 · 0

Kind	Pages	Last 90 days	Latest
Glossary or explainer	528	18	2026-09-20
Blog	201	6	2026-09-04
Report or ebook	12	undated
News or press	11	undated
Comparison	5	0	2026-04-24
Template or tool	2	0	2026-05-04

Most recent

2026-09-20Should you accept a coworkers friend request glossary or explainer
2026-09-19What is a tor browser and how does it differ from a vpn glossary or explainer
2026-09-15What is mercari and is it safe and legit glossary or explainer
2026-09-12Secure your firmware glossary or explainer
2026-09-10How to block someone on tiktok glossary or explainer
2026-09-09Do rfid wallets actually work glossary or explainer

How it is countedHide how it is counted

Every page mcafee.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.

Names read as McAfee DLP

What the judge wrote, as written, with how often. The vendor table decides that these count as McAfee DLP; a claim can dispute any of them.

McAfee (Trellix) 1

Follow McAfee DLP

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when McAfee DLP's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as McAfee DLP, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for McAfee DLP by email, built from the raw record of the edition. It shows:

where McAfee DLP is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name McAfee DLP, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.