1 category · Named, not rankedQevlar AI
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| AI SOC agents | Security operations | 0% | 34 of 104 | 0% | 4 | under 10 labels · led by Dropzone AI at 24% |
Movement
By model
How each model treated Qevlar AI across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| 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 4.1 Fast | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“For a mixed-vendor stack, compare Dropzone, Prophet, and Qevlar.” GPT-6 Luna · AI SOC agents · comparative prompt · first choice
“Qevlar AI (Best for deep investigation)” GLM 4.7 FlashX · AI SOC agents · paraphrase 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.
Named alongside
The products named in the same answers as Qevlar AI, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Qevlar AI was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 7 of the 7 answers that named Qevlar AI and are not a share of its labels.
Domains cited
Thirty-one of the thirty-five domain citations in answers naming Qevlar AI came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
What it publishes
ShowHide
What it publishes
ShowHide| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Glossary or explainer | 63 | undated | EDR, MDR | ||
| Blog | 60 | 3 | 2026-08-27 | MDR, SOAR | |
| Comparison | 14 | 0 | 2025-08-19 | ||
| Case study | 6 | 0 | 2025-10-31 | ||
| News or press | 6 | 2 | 2026-09-17 | ||
| Report or ebook | 4 | 1 | 2026-07-07 | ||
| Webinar or virtual event | 3 | 1 | 2026-08-07 |
Most recent
- 2026-09-17Qevlar ai joins anthropic and sodexo on stage at orange cyberdefenses paris event on frontier ai and security operations news or press
- 2026-08-27Ai soc understand the incident blog
- 2026-08-13Identity threat hunting built into every investigation blog
- 2026-08-07After ai triage the era of self healing soc webinar or virtual event
- 2026-07-16Build the soc that improves while you sleep blog
- 2026-07-15Qevlar ai named to headlines 2026 ai europe 100 in the system builders category news or press
How it is countedHide how it is counted
Every page qevlar.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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.
Follow Qevlar AI
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
Qevlar AI is its own company.ShowHide
The company
In its own words
Stated by the vendor, not checked- Positioning
- AI-powered cloud security alert investigation and remediation platform that autonomously analyzes alerts, identifies threats, and suggests remedial actions within 90 seconds.
- For
- SOC analysts
- Customers named
- AlmondNomiosSodexoGlobalConnect
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, certifications, hosting
What Qevlar AI's own pages state, read October 6, 2026: qevlar.com, qevlar.com/solutions/cloud, qevlar.com/customer-stories, qevlar.com/integrations. A claimed page can correct any of them.
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 Qevlar AI'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 Qevlar AI, 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 Qevlar AI by email, built from the raw record of the edition. It shows:
- where Qevlar AI 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 Qevlar AI, 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.