Three of fourteen models named Microsoft Defender for Identity first on the direct prompt; zero named Silverfort ITDR. Both were named by all fourteen models and Microsoft Defender for Identity carries 47 labels and Silverfort ITDR 44, so the shares are not directly comparable.
Named in four categories this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the identity threat detection and response page.
Across every category in the November 2026 Edition, Microsoft Defender for Identity and Silverfort ITDR were named in the same answer eighty-two times, of the 147 answers naming Microsoft Defender for Identity and the 109 naming Silverfort ITDR. In those answers Silverfort ITDR took the first choice three times and Microsoft Defender for Identity thirty.
| Model | DirectMD | ParaphraseMD | ComparativeMD | Budget-constrainedMD | Scale-constrainedMD | NegativeMD |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | MD | |||||
| GPT-5.4 mini | MD | MD | ||||
| Gemini 3.5 Flash | MD | |||||
| Perplexity Sonar | MD | MD | MD | |||
| Grok 4.20 | MD | MD | MD | |||
| Mistral Small | MD | MD | MD | |||
| DeepSeek V4 Flash | MD | MD | MD | MD | MD | |
| Llama 4 Maverick | MD | MD | MD | |||
| Qwen 3.7 Flash | MD | MD | ||||
| Kimi K2 | MD | MD | MD | |||
| GLM 4.7 FlashX | MD | MD | MD | MD | ||
| MiniMax M2.5 | MD | MD | MD | MD | ||
| GPT-6 Luna | MD | MD | MD | |||
| Muse Glimmer 30B | MD | MD | MD | MD |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Microsoft Defender for Identity in particular is repeatedly flagged for needed improvements in alert tuning, agent flexibility, internal IP handling and technical support to reduce false positives.” Muse Glimmer 30B · negative prompt · soft negative
“if your requirements depend on unsupported integrations or older infrastructure... lists no VPN integration or syslog notifications” GPT-6 Luna · negative prompt · soft negative
“Microsoft Defender for Identity (but requires E5 licensing)” MiniMax M2.5 · budget prompt · soft negative
“the best ITDR solution today is Microsoft Defender for Identity (or Microsoft Entra ID Protection) if you're already on Microsoft 365 / Entra ID” GLM 4.7 FlashX · direct prompt · first choice
“If you're already a Microsoft shop, this is often "free" (bundled) — the lowest-friction option with the deepest Microsoft-native telemetry” DeepSeek V4 Flash · comparative prompt · first choice
“Highly rated and integrates seamlessly with Microsoft environments, making it a strong choice if you already use Microsoft 365 or Azure.” Mistral Small · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid for Limited Budgets: SentinelOne Singularity Identity, Varonis, or Silverfort” Grok 4.20 · budget prompt · hard negative
“Avoid enterprise-priced solutions like Silverfort” DeepSeek V4 Flash · budget prompt · hard negative
“Silverfort or Microsoft Defender for Identity may fit better, but these solutions can require more configuration and budget than a managed SMB product.” Perplexity Sonar · budget prompt · soft negative
“I'd recommend Silverfort as the best identity threat detection tool for a mid-sized B2B company” GLM 4.7 FlashX · paraphrase prompt · first choice
“Heavy legacy + diverse IdPs? → Silverfort (only true inline preventor)” Qwen 3.7 Flash · comparative prompt · first choice
“Best Overall for Hybrid Environments & Multi-IdP: Silverfort” Gemini 3.5 Flash · paraphrase prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.