# SentinelOne Singularity: how AI models rank it, September 2026

IT AI Recommendation Index, September 2026 Edition. Named in 107 judge labels across 7 categories by 12 of 12 models. Page: https://it-ai-index.com/vendors/sentinelone-singularity/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Endpoint detection and response | 8% | 6 | 16% | 45 |
| Extended detection and response | 5% | 3 | 5% | 37 |
| Endpoint protection | 4% | 5 | 0% | 20 |
| Container and Kubernetes security | 0% | 40 | 0% | 2 |
| Attack surface management | 0% | 83 | 0% | 1 |
| Cloud-native application protection | 0% | 34 | 0% | 1 |
| Cloud security posture management | 0% | 32 | 0% | 1 |

## What the models said for it

- "SentinelOne Singularity: Excellent local threat mitigation, offline capability, and famous for its "Rollback" feature. Typically very friendly to mid-sized budgets" (Gemini 3.5 Flash, EDR)
- "Verdict: Highly recommended for mid-market companies that have a small IT team but want premium, autonomous Endpoint Detection and Response (EDR)" (Gemini 3.5 Flash, Endpoint protection)
- "Sophos Intercept X with Sophos MDR or SentinelOne Singularity with Vigilance MDR are the safest and most operationally efficient choices." (Gemini 3.5 Flash, Endpoint protection)
- "If you want the absolute best "turnkey" Native XDR with automated containment: SentinelOne Singularity: Highly autonomous" (Gemini 3.5 Flash, XDR)

## And against it

- "Cautions: Occasional false positives/alert issues, compatibility/migration challenges, less mature ecosystem/threat intel depth, weaker non-Windows support." (Grok 4.1 Fast, EDR)
- "buying a native XDR platform (such as those from CrowdStrike, Palo Alto, Microsoft, SentinelOne, Trend Micro, Sophos, Trellix, or Cisco)" (Mistral Small, XDR)
- "Solid technical alternative, but operational reliability and detection accuracy have been questioned in recent tests." (GLM 4.7 FlashX, EDR)
- "SentinelOne offers strong technology but requires investment in tuning and tolerance for support friction." (Kimi K2, EDR)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.