Index › IT › Products › Mindgard · November 2026 Edition
AI security platforms · Named, not ranked

Mindgard

Mindgard is an AI security platform that secures AI and machine learning models · mindgard.ai ↗

–Too few to rank
6/14Models named it
1First choices
1Warnings
November 2026 Edition · all company sizes counted.
Ranked inAI security platforms #70 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Mindgard has 2.

Why models recommend it

“Model protection (tampering/adversarial) | HiddenLayer, Mindgard”GLM 4.7 FlashX · Direct question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Mindgard, over the 8 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on Mindgard's own site, not checked by Gane.

For
security and engineering teams accountable for AI systems in development and production
Hosting
Boston, London
Customers named
Google, OpenAI, ZED AI, xAI
Visit mindgard.ai ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Mindgard came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 8 of the 8 answers that named Mindgard and are not a share of its labels.

Domains cited

checkpoint.com7
superblocks.com6
forcepoint.com4
checkmarx.com3
ai.g2.com2
akamai.com2
eon.io2
fortinet.com2
github.com2
neuraltrust.ai2

Thirty-two of the thirty-two domain citations in answers naming Mindgard came from a third party's page.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Mindgard across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

What it publishes

Addresses on mindgard.ai
462
subdomains included
Content
236
counted in the table below
Documentation
84
Product · Integration
7 · 0
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog171102026-09-12AI security
Conference or event27undated
Comparison1402026-01-30BAS
Glossary or explainer1002026-06-26
Case study6undated
Webinar or virtual event3undated
Report or ebook3undated
Template or tool202025-11-17

Events in person

The twelve months before October 5, 2026

As the event pages on mindgard.ai state them, read October 5, 2026.

How it is countedHide how it is counted

Every page mindgard.ai 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.