IT AI Index
Index Vendors › SecPod SanerNow · September 2026 Edition
SecPod · 3 categories · Named, not ranked

SecPod SanerNow

11Judge labels
0First choices
2Negative labels
6 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. SecPod SanerNow was named 6 times in Vuln management and 2 other categories, where Rapid7 InsightVM led with 45%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In vuln management · 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 SecPod SanerNow 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Vulnerability management platformsSecurity operations0%62 of 8033%3under 10 labels · led by Rapid7 InsightVM at 45%
Attack surface managementSecurity operations0%30 of 1040%2under 10 labels · led by Intruder at 59%
Patch managementIT operations and endpoint0%62 of 870%1under 10 labels · led by Action1 at 27%

Movement

This is the first edition on this tier, so no move can be computed for SecPod SanerNow yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated SecPod SanerNow across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00101
Perplexity Sonar00011
Grok 4.1 Fast00000
Mistral Small00202
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.501001

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
Comparative6 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative3 labelsNone
First choiceAlternativeMentionNegative11 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.

“Native risk remediation engine with automatic patch deployment” MiniMax M2.5 · ASM · comparative prompt · alternative
“SecPod SanerNow = broad discovery + patch automation” GLM 4.7 FlashX · ASM · comparative 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.

“none of them offer patchless protection” Perplexity Sonar · Vuln management · negative prompt · soft negative

Named alongside

The products named in the same answers as SecPod SanerNow, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SecPod SanerNow was named but was not.
ProductSame answerTook the first choice insteadHead to head
Synack5 of 112Not in the top three
Wiz5 of 110Not in the top three
Bitsight4 of 111Not in the top three
Cortex Xpanse4 of 111Not in the top three
Automox4 of 110Not in the top three
Censys ASM4 of 110Not in the top three
CyCognito3 of 111Not in the top three
Orca Security3 of 110Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 SecPod SanerNow. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 9 of the 11 answers that named SecPod SanerNow and are not a share of its labels.

Names read as SecPod SanerNow

What the judge wrote, as written, with how often. The vendor table decides that these count as SecPod SanerNow; a claim can dispute any of them.
SecPod 1SecPod Saner 1
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 SecPod SanerNow'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 SecPod SanerNow, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at secpod.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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