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 32 → 43 of 43
Forcepoint · 1 category · Named, not rankedForcepoint ONE
5Judge labels
0First choices
2Negative labels
3 / 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Forcepoint ONE was named 2 times in SASE, where Cato Networks led with 35%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business32 of 57
0%1 label
under the label threshold
Mid-market45 of 45
0%2 labels
under the label threshold
Enterprise24 of 48
0%1 label
under the label threshold
In sase · 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 Forcepoint ONE 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 |
|---|---|---|---|---|---|---|---|
| SASE platforms | Network and edge | 0% | 45 of 45 | 100% | 2 | under 10 labels · led by Cato Networks at 35% | =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, Forcepoint ONE held within the floor in its one category: no change cleared 11 points.
Best category · SASE · by segment
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 15 → 23 of 46
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| SASE | 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 32 → 45 of 45 |
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 Forcepoint ONE across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Forcepoint ONE across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 1 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Comparative1 labelNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative2 labelsNone
First choiceAlternativeMentionNegative5 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.
“Avoid: Forcepoint (unless data security-specific)” Kimi K2 · SASE · negative prompt · hard negative
“Analysts suggest caution due to its smaller market presence and less mature feature set in the SASE space” Mistral Small · SASE · negative prompt · soft negative
Named alongside
The products named in the same answers as Forcepoint ONE, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Forcepoint ONE was named but was not.ShowHide
Named alongside
The products named in the same answers as Forcepoint ONE, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Forcepoint ONE was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 Forcepoint ONE. 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 5 of the 5 answers that named Forcepoint ONE and are not a share of its labels.
Domains cited
cyberhaven.com3
forcepoint.comYour site3
dope.security2
netify.co.uk2
peerspot.com2
sase.checkpoint.com2
sase.cloud2
acronis.com1
aimultiple.com1
ascentech.co.jp1
Sixteen of the nineteen domain citations in answers naming Forcepoint ONE came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
forcepoint.com is not in Google's top ten for any of the category's searches. In the answers, Forcepoint ONE takes 0% of first choices and Cato Networks takes 35%.ShowHide
Search and answers
forcepoint.com is not in Google's top ten for any of the category's searches. In the answers, Forcepoint ONE takes 0% of first choices and Cato Networks takes 35%.
ShowHideIn search
Google, US estimatesPosition for “sase platform”
–
not in the top ten
Position for “sase platforms”
–
not in the top ten
- Its company's site
- forcepoint.com shared with Forcepoint's other products; the figures are the site's
- Organic visits to its site
- about 25,465 a month
- Searches its site ranks for
- 6,834 · 309 in the top three
- Sites linking to it
- 8,344
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 45 of 45 in SASE
Segment leader
35%
Cato Networks
- First choices
- 0 across its categories
- Named in
- 5 answers
- Its own site cited
- in 5 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
Names read as Forcepoint ONE
What the judge wrote, as written, with how often. The vendor table decides that these count as Forcepoint ONE; a claim can dispute any of them.
Forcepoint 1
Follow Forcepoint ONE
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.
The company
Forcepoint is the company behind Forcepoint ONE.ShowHide
The company
Forcepoint is the company behind Forcepoint ONE.
ShowHideOn record
Company recordsIn its own words
Stated by the vendor, not checked- Positioning
- A Single Platform for Data Security
- For
- enterprises with hybrid workforces
- Price stated
- Annual per-user subscriptions to Forcepoint ONE are available immediately. forcepoint.com/newsroom/2022/forcepoint-one-new-easy-button-security
- Free plan or trial
- Perform a Free Data Risk Assessment forcepoint.com/forcepoint-one
- Not stated on the pages read
- Starting price, integrations, certifications, hosting, customers
What Forcepoint ONE's own pages state, read October 6, 2026: forcepoint.com/forcepoint-one, forcepoint.com/upgrade-your-web-security-forcepoint-one, forcepoint.com/newsroom/2022/forcepoint-one-new-easy-button-security, forcepoint.com/newsroom/2024/ai-powered-forcepoint-one-data-security-protects-cloud-to-endpoint, forcepoint.com/resources/quickstart-implementation-guides/forcepoint-data-security-cloud-ztna-basic-ONEZIMLC. A claimed page can correct any of them.
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 Forcepoint ONE'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 Forcepoint ONE, 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 Forcepoint ONE by email, built from the raw record of the edition. It shows:
- where Forcepoint ONE 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 Forcepoint ONE, 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.