Ten of fourteen models named Microsoft Purview Insider Risk Management first on the direct prompt; zero named ActivTrak. Microsoft Purview Insider Risk Management was named by fourteen of the fourteen models and ActivTrak by ten and Microsoft Purview Insider Risk Management carries 63 labels and ActivTrak 13, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories 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 insider risk management page.
Across every category in the November 2026 Edition, Microsoft Purview Insider Risk Management and ActivTrak were named in the same answer thirty-six times, of the 184 answers naming Microsoft Purview Insider Risk Management and the 48 naming ActivTrak. In those answers ActivTrak took the first choice six times and Microsoft Purview Insider Risk Management eighteen.
| Model | DirectMP | ParaphraseMP | ComparativeMP | Budget-constrainedMP | Scale-constrainedMP | NegativeMP |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | MP | MP | MP | MP | MP | |
| GPT-5.4 mini | MP | MP | MP | |||
| Gemini 3.5 Flash | MP | MP | MP | MP | MP | |
| Perplexity Sonar | MP | MP | MP | MP | ||
| Grok 4.20 | MP | MP | MP | MP | MP | |
| Mistral Small | MP | MP | MP | |||
| DeepSeek V4 Flash | MP | MP | MP | MP | MP | MP |
| Llama 4 Maverick | MP | |||||
| Qwen 3.7 Flash | MP | MP | MP | MP | ||
| Kimi K2 | MP | MP | MP | MP | ||
| GLM 4.7 FlashX | MP | MP | MP | |||
| MiniMax M2.5 | MP | MP | MP | MP | ||
| GPT-6 Luna | MP | MP | MP | MP | ||
| Muse Glimmer 30B | MP | MP | MP | MP |
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 eight in this category shown.
“DLP and IRM tools such as Microsoft Purview "scan the content of emails, Teams messages and documents..." which is itself a processing activity with significant privacy implications.” Muse Glimmer 30B · negative prompt · soft negative
“Microsoft Purview Insider Risk Management (according to current reviews): - Windows-only browser signals (no Linux coverage) - 100-case active case cap” GLM 4.7 FlashX · negative prompt · soft negative
“frequently flagged for privacy implications due to deep scanning of emails, chats, files, and risk scoring. It's high-risk processing” Grok 4.20 · negative prompt · soft negative
“I'd recommend Microsoft Purview Insider Risk Management if you're already in the Microsoft ecosystem, as it offers the best value, integration, and ease of use.” MiniMax M2.5 · paraphrase prompt · first choice
“Sweet spot for you: Mid-market solutions (e.g., Microsoft Purview Insider Risk Management, Cyberhaven, or DTEX) that balance depth with manageability.” Kimi K2 · scale prompt · first choice
“starting with Microsoft Purview (if already using Microsoft 365) or ManageEngine Endpoint DLP Plus (free tier) provides essential protection” MiniMax M2.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“I wouldn't choose ActivTrak as an insider-risk tool: its published plans focus on workforce activity and productivity.” GPT-6 Luna · budget prompt · hard negative
“Best Overall Value & Free Tier: ActivTrak ... frequently cited as the best option for SMBs because it offers a robust free version” Qwen 3.7 Flash · budget prompt · first choice
“For SMBs, start with Teramind for deep monitoring with transparent pricing or ActivTrak for a free workforce-visibility baseline.” Muse Glimmer 30B · budget prompt · first choice
“ActivTrak is the best no-cost starting point” Perplexity Sonar · budget 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.