# SAS AML: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 12 judge labels across 1 category by 7 of 14 models. Page: https://www.gane.ai/index/finance/vendors/sas-aml

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [AML and transaction monitoring](https://www.gane.ai/index/finance/tax/aml-and-transaction-monitoring/index.md) | 0% | 113 | 58% | 12 |

## What the models said for it

- "Best for: Regulated institutions with in-house analytics teams that value statistical rigor" (DeepSeek V4 Flash, AML monitoring)

## And against it

- "Legacy vendors like SAS AML, Oracle Mantas, and FICO TONBELLER (Siron): Highlighted in 2025 analyses as outdated for payment processors." (Grok 4.20, AML monitoring)
- "Frequently mentioned in lists of older solutions that can be rigid, difficult to scale, and slow to adapt to modern regulatory changes." (GLM 4.7 FlashX, AML monitoring)
- "critiquing legacy vendors like NICE Actimize, SAS AML, Oracle Mantas, and FICO TONBELLER (Siron) for their shortcomings" (Muse Glimmer 30B, AML monitoring)
- "widely considered "legacy" options that struggle to meet modern speed requirements" (Qwen 3.7 Flash, AML monitoring)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 2 | 2 | 4 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 1 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |

## Sources returned with these answers

The sites and pages cited by the answers that named SAS AML, from 29 of the 30 answers that named it (only the models that return a source list).

### Domains cited

- g2.com: 13
- capterra.com: 11
- flagright.com: 11
- github.com: 11
- knowyourcustomer.com: 10
- bureau.id: 9
- fraudio.com: 8
- softwareadvice.com: 8
- a-us.storyblok.com: 7
- linkedin.com: 7

### Pages cited

- https://github.com/ishandutta2007/Awesome-AML-Transaction-Monitoring: 10
- https://knowyourcustomer.com/insights/best-aml-compliance-software-platforms: 10
- https://bureau.id/resources/blog/transaction-monitoring-software: 9
- https://github.com/ishandutta2007/Awesome-Financial-Anti-Money-Laundering-AML-Monitors: 9
- https://github.com/ishandutta2007/Awesome-AML-Transaction-Monitoring/blob/main/README.md: 8
- https://a-us.storyblok.com/f/1012896/x/98c3bbb564/aml-transaction-monitoring-solutions-2024.pdf: 7
- https://flagright.com/post/best-aml-compliance-solutions-for-payment-processors: 7
- https://softwareadvice.com/aml: 6

## Record

- Method: https://www.gane.ai/index/finance/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/finance.