| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data loss prevention | Security operations | 15% | 2 of 89 | 8% | 26 | accepted challenger | ▼−3Since September 2026: 16% → 13%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data security posture management | Security operations | 4% | 6 of 105 | 0% | 7 | under 10 labels · led by Microsoft Purview at 18% | |
| Insider risk management | Security operations | 2% | 10 of 84 | 0% | 5 | under 10 labels · led by Microsoft Purview Insider Risk Management at 22% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| DSPM | 0% | 5% | newNew since September 2026: not ranked then, 5% now. | New this edition | Rank 6 of 105, unchanged |
| DLP | 16% | 13% | ▼−3Since September 2026: 16% → 13%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 → 2 of 89 |
| Insider risk | 0% | 3% | newNew since September 2026: not ranked then, 3% now. | New this edition | Rank 10 of 84, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 3 | 0 | 1 | 0 | 4 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 6 | 0 | 0 | 6 |
| Perplexity Sonar | 1 | 0 | 1 | 0 | 2 |
| Grok 4.20 | 1 | 4 | 0 | 0 | 5 |
| Mistral Small | 0 | 2 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 2 | 1 | 1 | 0 | 4 |
| Llama 4 Maverick | 1 | 0 | 1 | 1 | 3 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 3 | 1 | 0 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 2 | 1 | 0 | 1 | 4 |
Verbatim evidence the judge attached to positive labels.
“IBM Guardium Data Protection and Safetica are recommended sensitive data discovery and protection tools for a mid-sized B2B company.” Llama 4 Maverick · DSPM · paraphrase prompt · first choice
“Safetica is recognized as the best for SMB and mid-market DLP with insider risk visibility” Claude Haiku 4.5 · DLP · direct prompt · first choice
“Safetica (Best Paid Budget Pick for SMBs)... Highly recommended in SMB reviews for value.” Grok 4.20 · DLP · budget prompt · first choice
“Need quick, managed SaaS with low per seat cost → Kickidler or Safetica from ~$6/PC/mo” Muse Glimmer 30B · DLP · budget prompt · first choice
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.
“While it is considered an affordable SMB tool, it has limited enterprise features.” Llama 4 Maverick · DLP · negative prompt · soft negative
“slow performance issues with Safetica, including delays with applications” Muse Glimmer 30B · DLP · negative 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 120 of the 120 answers that named Safetica and are not a share of its labels.
467 of the 467 domain citations in answers naming Safetica 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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 225 | 26 | 2026-09-24 | DLP | |
| News or press | 37 | 3 | 2026-09-03 | DLP | |
| Case study | 33 | 0 | 2025-11-25 | DLP | |
| Report or ebook | 10 | 1 | 2026-09-03 | DLP | |
| Comparison | 9 | 1 | 2026-08-27 | DLP | |
| Podcast or video | 7 | 1 | 2026-07-27 | DLP | |
| Conference or event | 5 | 0 | 2025-08-08 | ||
| Glossary or explainer | 4 | 0 | 2025-07-23 | ||
| Webinar or virtual event | 2 | 2 | 2026-08-07 | DLP |
Every page safetica.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 September 29, 2026.
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.
What Safetica's own pages state, read September 28, 2026: safetica.com, safetica.com/pricing, safetica.com/cs/platforma-safetica, safetica.com/resources/customer-stories. A claimed page can correct any of them.
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 Safetica'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 Safetica, 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 Safetica by email, built from the raw record of the edition. It shows:
Safetica is among the products AI models recommend first in Data loss prevention this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.