# Data loss prevention for enterprise buyers: what AI models recommend, September 2026

IT AI Recommendation Index, September 2026 Edition. Asked as "data loss prevention platform" and as "DLP tool", six framings each, to twelve models with search on, on behalf of an enterprise B2B company. Page: https://it-ai-index.com/security/data-loss-prevention/enterprise/

**Standing:** Microsoft Purview DLP leads with 52% of first choices; verdict clear leader. 42 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | Microsoft Purview DLP | 52% | 16% | 58 |
| 2 | Forcepoint DLP | 19% | 18% | 56 |
| 3 | Symantec Data Loss Prevention | 12% | 36% | 55 |
| 4 | Cyberhaven | 5% | 0% | 20 |
| 5 | Netskope DLP | 2% | 8% | 26 |
| 6 | Proofpoint Enterprise DLP | 2% | 14% | 29 |
| 7 | Zscaler | 0% | 6% | 17 |
| 8 | Trellix DLP | 0% | 36% | 11 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: Forcepoint DLP; alternatives Microsoft Purview DLP, Strac, Symantec Data Loss Prevention
- GPT-5.4 mini: Microsoft Purview DLP; alternatives Forcepoint DLP, Symantec Data Loss Prevention
- Gemini 3.5 Flash: no first choice; alternatives CrowdStrike Falcon Data Protection, Cyberhaven, Forcepoint DLP, Microsoft Purview DLP
- Perplexity Sonar: Forcepoint DLP; alternatives Cyberhaven, Microsoft Purview DLP, Proofpoint Enterprise DLP, Teramind
- Grok 4.1 Fast: Forcepoint DLP, Microsoft Purview DLP; alternatives Netskope DLP, Proofpoint Enterprise DLP, Zscaler
- Mistral Small: Palo Alto Networks Enterprise DLP, Proofpoint Enterprise DLP; alternatives Forcepoint DLP, Fortra Data Security
- DeepSeek V4 Flash: Microsoft Purview DLP; alternatives Cyberhaven, Forcepoint DLP, Symantec Data Loss Prevention
- Llama 4 Maverick: no first choice
- Qwen 3.7 Flash: Microsoft Purview DLP; alternatives Forcepoint ONE, Netskope DLP, Symantec Data Loss Prevention
- Kimi K2: Microsoft Purview DLP, Netskope DLP; alternatives Forcepoint DLP, Palo Alto Networks Enterprise DLP
- GLM 4.7 FlashX: Forcepoint DLP; alternatives Cyberhaven, Microsoft Purview DLP, Nightfall AI, Strac
- MiniMax M2.5: Forcepoint DLP, Microsoft Purview DLP

## Sources the answers cite

67 of 72 answers came back with a source list, from 12 of 12 models. Sites named in the most answers:

- gartner.com: 46 answers, 66 citations
- strac.io: 40 answers, 55 citations
- forcepoint.com: 37 answers, 50 citations
- underdefense.com: 36 answers, 37 citations
- cyberhaven.com: 25 answers, 32 citations
- currentware.com: 25 answers, 25 citations
- learn.g2.com: 25 answers, 25 citations
- miniorange.com: 21 answers, 21 citations

Pages named in the most answers:

- https://gartner.com/reviews/market/data-loss-prevention (44 answers)
- https://underdefense.com/blog/dlp-solutions (36 answers)
- https://forcepoint.com/blog/insights/best-dlp-software (34 answers)
- https://currentware.com/blog/best-data-loss-prevention-software (25 answers)
- https://learn.g2.com/best-data-loss-prevention-software (25 answers)
- https://miniorange.com/blog/top-data-loss-prevention-tools (21 answers)
- https://strac.io/blog/top-data-loss-prevention-dlp-tools (17 answers)
- https://proofpoint.com/us/industry-comparison/dlp (16 answers)
- https://blog.scalefusion.com/best-dlp-solutions-for-enterprises (15 answers)
- https://guideflow.com/blog/data-loss-prevention-software (14 answers)

## Warned against

- Symantec Data Loss Prevention: 20 of 55 labels negative. "Platforms to Strongly Avoid or Approach with Extreme Caution (Legacy/High-Risk for Large Enterprises):
- Traditional/Legacy DLP Solutions (e.g., older Symantec DLP/Broadcom" (Grok 4.1 Fast, negative prompt)
- Forcepoint DLP: 10 of 56 labels negative. "Steep Learning Curve and Resource Demands... resource-intensive, potentially slowing down endpoint devices" (GLM 4.7 FlashX, negative prompt)
- Microsoft Purview DLP: 9 of 58 labels negative. "While Microsoft Purview is excellent for organizations deeply embedded in the Microsoft 365 ecosystem, it has distinct blind spots that make it a risky choice for diverse environments." (Qwen 3.7 Flash, negative prompt)
- Trellix DLP: 4 of 11 labels negative. "typically require custom quotes and may have modular or consumption-based pricing, which can make total cost of ownership less predictable" (Mistral Small, budget prompt)

## 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.