Two of fourteen models named CyCognito first on the direct prompt; zero named Tenable Attack Surface Management. CyCognito was named by thirteen of the fourteen models and Tenable Attack Surface Management by fourteen and CyCognito carries 43 labels and Tenable Attack Surface Management 22, so the shares are not directly comparable.
Named in two categories this edition.
Named in one category this edition.
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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the attack surface management page.
Across every category in the November 2026 Edition, CyCognito and Tenable Attack Surface Management were named in the same answer fifty-eight times, of the 134 answers naming CyCognito and the 81 naming Tenable Attack Surface Management. In those answers Tenable Attack Surface Management took the first choice two times and CyCognito four.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Users report high false positive rates, slow support, lack of step-by-step remediation guidance, and pricing that's prohibitive for SMBs” DeepSeek V4 Flash · negative prompt · soft negative
“CyCognito can miss assets tied to subsidiaries or recent acquisitions if the connection isn't obvious from public data” Claude Haiku 4.5 · negative prompt · soft negative
“Frequent mentions of false positives... Expensive for SMBs; better for larger enterprises with dedicated teams.” Grok 4.20 · negative prompt · soft negative
“If you have a dedicated security team: Go with CyCognito. It provides the highest level of technical safety net” Qwen 3.7 Flash · paraphrase prompt · first choice
“For most modern enterprises, CyCognito and Microsoft EASM are currently leading the market” Qwen 3.7 Flash · comparative prompt · first choice
“Strong candidates to shortlist would be CyCognito (if you have shadow IT complexity)” DeepSeek V4 Flash · scale prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“economically attractive when you already use the corresponding ecosystem, but avoid assuming that an existing EDR or vulnerability-management deployment automatically provides complete external discovery” Perplexity Sonar · negative prompt · soft negative
“they can feel complex and expensive for mid-sized teams (better suited to enterprises with dedicated resources)” Grok 4.20 · paraphrase prompt · soft negative
“Users note room for improvement in integration with other tools” DeepSeek V4 Flash · negative prompt · soft negative
“I'd usually recommend Tenable One Attack Surface Management as the default starting point” GPT-5.4 mini · paraphrase prompt · first choice
“Tenable One Attack Surface Management link external findings to existing vulnerability and exposure management workflows” Muse Glimmer 30B · comparative prompt · alternative
“suits organizations that have already invested in the Tenable vulnerability management ecosystem” MiniMax M2.5 · comparative prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.