| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Non-human identity management | Identity and access | 2% | 20 of 128 | 0% | 1 | under 10 labels · led by JumpCloud at 14% | |
| Privileged access management | Identity and access | 0% | 19 of 73 | 17% | 12 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Identity governance | Identity and access | 0% | 53 of 76 | 0% | 1 | under 10 labels · led by Microsoft Entra ID Governance at 25% | newNew since September 2026: not ranked then, 0% now. |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.20 | 1 | 0 | 0 | 1 | 2 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 2 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“I'd recommend One Identity Safeguard as the top machine identity and service account security tool.” Grok 4.20 · NHI management · paraphrase prompt · first choice
“Add One Identity if session auditing is a major driver” GPT-6 Luna · PAM · comparative prompt · alternative
“Best for Cost-Effective Enterprise” Claude Haiku 4.5 · PAM · budget prompt · alternative
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.
“One Identity Safeguard and others criticized for needing "substantial policy design."” Grok 4.20 · PAM · negative prompt · soft negative
“Tier C (Large Enterprise - Use Caution) ... these may be overkill and too expensive.” Qwen 3.7 Flash · PAM · scale prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 38 of the 38 answers that named One Identity Safeguard and are not a share of its labels.
122 of the 136 domain citations in answers naming One Identity Safeguard came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
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.
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 One Identity Safeguard'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 One Identity Safeguard, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for One Identity Safeguard by email, built from the raw record of the edition. It shows: