Non-human identity management · RankedToken Security
Token Security is a non-human identity management product that covers discovery, identity context, risk management and lifecycle management · token.security ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
JumpCloud is first at 20%.
JumpCloud is first at 22%. 1 of 14 models made it the first choice when asked directly.
CyberArk Identity Security Platform is first at 20%.
Why models recommend it
“Token Security is my first shortlist pick for broad NHI governance”GPT-6 Luna · Direct question · first choice
“strong on discovery, visibility, ownership, dependency tracking, and risk analysis for non-human identities”GPT-5.4 mini · Paraphrase question · alternative
“A newer entrant focused on AI and bot identity.”Qwen 3.7 Flash · Comparative question · alternative
“one of the few remaining independent pure-plays”DeepSeek V4 Flash · Comparative question · alternative
What gives them pause
“Newer or Less Proven Startups (e.g., Oasis Security, Token Security, Clutch Security, Entro Security, Astrix Security)”Grok 4.20 · Negative question · warning
“Strong at visibility, but its lifecycle and governance features were less mature compared to leaders.”DeepSeek V4 Flash · Negative question · warning
Also on the shortlist
The products named in the same answers as Token Security, over the 35 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 32 | 4 | View → | |
| 32 | 3 | Compare → | |
| 27 | 4 | Compare → | |
| 26 | 1 | View → | |
| 22 | 3 | View → | |
| 22 | 2 | Compare → | |
| 22 | 0 | View → | |
| 18 | 2 | View → | |
| 16 | 2 | View → | |
| 16 | 1 | Compare → |
What the models named instead of Token Security →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Token Security's own site, not checked by Gane.
- For
- security teams
- Certifications
- ISO 27001, SOC 2 Type II
- Customers named
- HiBob, Udemy, GEHA, Klaviyo, Lemonade, PROS, Dayforce, AlphaSense
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
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 35 of the 35 answers that named Token Security and are not a share of its labels.
Domains cited
154 of the 154 domain citations in answers naming Token Security came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 3 | 1 | 4 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 3 | 0 | 3 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 1 | 0 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 2 | 0 | 2 |
What it publishes
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 143 | 109 | 2026-09-30 | NHI management, IGA | |
| News or press | 86 | undated | IGA | ||
| Glossary or explainer | 10 | 8 | 2026-09-30 | Secrets | |
| Webinar or virtual event | 4 | 0 | 2025-12-25 | ||
| Report or ebook | 4 | 0 | 2025-09-14 | ||
| Comparison | 3 | 3 | 2026-09-06 | ||
| Case study | 2 | 0 | 2026-06-25 | ||
| Conference or event | 1 | undated | |||
| Template or tool | 1 | undated | |||
| Podcast or video | 1 | 0 | 2026-05-29 |
Most recent
- 2026-09-30Agentic ai attack vectors emerging threats and defense strategies blog
- 2026-09-30Agentic ai lifecycle management from training to decommissioning securely blog
- 2026-09-30Agentic ai threat simulation predicting unintended behaviors before they happen blog
- 2026-09-30Blog ai agent security fails identity configuration problem blog
- 2026-09-30Cloud security challenges risks threats and ai driven complexity blog
- 2026-09-30Collaborative AI Agents: Securing Multi-Agent Networks | Token Security blog
How it is countedHide how it is counted
Every page token.security 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.