Small business=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 2% in September 2026
Inside the floor by 11 pointsRank 12 → 10 of 58
CISO Assistant
10Judge labels
1First choices
0Negative labels
4 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. CISO Assistant was named 4 times in GRC and 1 other category, where Hyperproof led with 19%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business11 of 60
2%2 labels
under the label threshold
Mid-market20 of 75
0%3 labels
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
In grc · 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 CISO Assistant 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 |
|---|---|---|---|---|---|---|---|
| GRC platforms | Security operations | 0% | 20 of 75 | 0% | 3 | under 10 labels · led by Hyperproof at 19% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| AI governance platforms | Data platform | 0% | 54 of 135 | 0% | 1 | under 10 labels · led by Credo AI at 18% |
Movement
Since September 2026, CISO Assistant held within the floor in all two categories: no change cleared 11 points.
Best category · GRC · by segment
Mid-market▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 16 → 18 of 69
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| GRC | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 16 → 20 of 75 |
| AI governance | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 54 of 135, unchanged |
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 CISO Assistant 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 CISO Assistant 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 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| 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
Comparative0 labelsNone
Budget-constrained8 labels1
Scale-constrained1 labelNone
Negative0 labelsNone
First choiceAlternativeMentionNegative10 labels in all, every segment counted; 1 of the 1 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.
“A modern, sleek open-source GRC platform focused heavily on cybersecurity frameworks” Gemini 3.5 Flash · GRC · budget prompt · alternative
“Alternative: CISO Assistant is another excellent general open-source GRC platform” Gemini 3.5 Flash · AI governance · budget prompt · alternative
“Free self-hosted plan available ... Good starter for tiny teams.” Grok 4.20 · GRC · budget prompt · alternative
“CISO Assistant (Best for Framework Coverage)” GLM 4.7 FlashX · GRC · budget prompt · alternative
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.
No model argued against it.
Named alongside
The products named in the same answers as CISO Assistant, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and CISO Assistant was named but was not.ShowHide
Named alongside
The products named in the same answers as CISO Assistant, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and CISO Assistant 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 CISO Assistant. 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 10 of the 10 answers that named CISO Assistant and are not a share of its labels.
Domains cited
github.com4
intuitem.com4
itechguides.com4
optro.ai4
simplerisk.com4
zengrc.com4
eagleridge.io3
metricstream.com3
reddit.com3
sourceforge.net3
No domain is on file for CISO Assistant, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Names read as CISO Assistant
What the judge wrote, as written, with how often. The vendor table decides that these count as CISO Assistant; a claim can dispute any of them.
CISO Assistant (by Intuitem) 1
Follow CISO Assistant
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 CISO Assistant'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 CISO Assistant, 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 CISO Assistant by email, built from the raw record of the edition. It shows:
- where CISO Assistant 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 CISO Assistant, 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.