| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| SaaS security posture management | Security operations | 2% | 17 of 95 | 33% | 9 | under 10 labels · led by Wing Security at 30% | |
| IT documentation | IT operations and endpoint | 0% | 66 of 92 | 0% | 1 | under 10 labels · led by Hudu at 17% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 1 | 0 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 1 | 2 |
Verbatim evidence the judge attached to positive labels.
“Wing Security or Obsidian often provide the best balance of capability, usability, and price” Kimi K2 · SSPM · scale prompt · first choice
“"AppOmni and Obsidian lead enterprise SSPM depth."” Muse Glimmer 30B · SSPM · comparative prompt · alternative
“Obsidian (behavioral depth)” Grok 4.20 · SSPM · negative 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.
“Obsidian is explicitly identity-centric SSPM + ITDR. If you only want preventive config drift and remediation, you may be paying for detection capability you don't need.” Muse Glimmer 30B · SSPM · negative prompt · soft negative
“A newer platform with a smaller customer base than established competitors... the breadth of SaaS application coverage hasn't yet matched the widest players.” Claude Haiku 4.5 · SSPM · negative prompt · soft negative
“worth evaluating if you want a broader SaaS security platform comparison, but their depth can vary by app and use case” GPT-5.4 mini · SSPM · direct 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 35 of the 38 answers that named Obsidian and are not a share of its labels.
No domain is on file for Obsidian, so its own site is not marked.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read October 5, 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 Obsidian'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 Obsidian, 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 Obsidian by email, built from the raw record of the edition. It shows: