# AML and transaction monitoring: what AI models recommend, October 2026

Finance AI Recommendation Index, October 2026 Edition. Asked as "AML and transaction monitoring platform" and as "anti-money laundering compliance software", six framings each, to fourteen models with search on, on behalf of a mid-market B2B company. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories. Page: https://finance-ai-index.com/tax/aml-and-transaction-monitoring/

**Standing:** ComplyAdvantage leads with 33% of first choices; verdict contested. 52 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | ComplyAdvantage | 33% | 6% | 48 |
| 2 | Flagright | 13% | 0% | 16 |
| 3 | Sanction Scanner | 13% | 6% | 17 |
| 4 | Unit21 | 6% | 14% | 22 |
| 5 | Alessa | 2% | 0% | 17 |
| 6 | Ondato | 2% | 0% | 14 |
| 7 | Feedzai | 2% | 8% | 13 |
| 8 | Sumsub | 0% | 8% | 12 |
| 9 | Hawk AI | 0% | 15% | 13 |
| 10 | Sardine | 0% | 15% | 13 |
| 11 | NICE Actimize | 0% | 46% | 28 |
| 12 | Oracle Financial Crime and Compliance Management | 0% | 50% | 12 |

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

- Claude Haiku 4.5: Alessa, ComplyAdvantage; alternatives Napier AI, Unit21
- GPT-5.4 mini: Unit21; alternatives Feedzai, Fenergo
- Gemini 3.5 Flash: Alloy; alternatives ComplyAdvantage, Sumsub, Unit21
- Perplexity Sonar: Trustform; alternatives ComplyAdvantage, Flagright, Hawk AI
- Grok 4.1 Fast: Flagright; alternatives Alessa, Hummingbird, Ondato
- Mistral Small: Feedzai; alternatives Alessa, ComplyAdvantage, Napier AI, ThetaRay
- DeepSeek V4 Flash: ComplyAdvantage; alternatives Alessa, Unit21
- Llama 4 Maverick: Sphinx; alternatives FraudNet, Ondato, Shuftipro, Tookitaki
- Qwen 3.7 Flash: ComplyCube; alternatives Dow Jones Risk & Compliance, Sumsub, Trulioo
- Kimi K2: ComplyAdvantage, Flagright; alternatives Alessa, Lucinity, Sift
- GLM 4.7 FlashX: ComplyAdvantage, NorthRow; alternatives Alloy, SEON
- MiniMax M2.5: no first choice
- GPT-6 Luna: Unit21; alternatives Alloy, ComplyAdvantage, Sardine
- Muse Glimmer 30B: Unit21; alternatives Alessa, Eftsure, Feedzai, Hawk AI

## Sources the answers cite

77 of 84 answers came back with a source list, from 14 of 14 models. Sites named in the most answers:

- fraud.net: 31 answers, 58 citations
- ondato.com: 31 answers, 34 citations
- bureau.id: 29 answers, 29 citations
- sphinxhq.com: 27 answers, 30 citations
- complyadvantage.com: 25 answers, 42 citations
- cside.com: 22 answers, 22 citations
- g2.com: 20 answers, 44 citations
- amlwatcher.com: 18 answers, 21 citations

Pages named in the most answers:

- https://bureau.id/resources/blog/transaction-monitoring-software (29 answers)
- https://ondato.com/blog/best-aml-software (28 answers)
- https://sphinxhq.com/blog-posts/best-aml-software (25 answers)
- https://cside.com/blog/best-transaction-monitoring-software (22 answers)
- https://thecfoclub.com/tools/best-aml-compliance-software (18 answers)
- https://amlwatcher.com/blog/aml-software-vendors (17 answers)
- https://guideflow.com/blog/aml-software (17 answers)
- https://pwc.com/gx/en/news-room/assets/analyst-citations/chartis_aml_transaction_monitoring-solutions.pdf (17 answers)
- https://learn.g2.com/best-anti-money-laundering-software (16 answers)
- https://fraud.net/resources/top-aml-software (15 answers)

## Warned against

- NICE Actimize: 13 of 28 labels negative. "Legacy/Traditional Platforms to Avoid ... NICE Actimize & Oracle Mantas - False positive rates: 85-99% of alerts are false positives" (GLM 4.7 FlashX, negative prompt)
- Oracle Mantas: 5 of 5 labels negative. "NICE Actimize & Oracle Mantas ... Outdated architecture: Monolithic systems that can't scale horizontally" (GLM 4.7 FlashX, negative prompt)
- SAS: 6 of 11 labels negative. "Avoid overkill like Oracle/SAS (enterprise-priced)." (Grok 4.1 Fast, direct prompt)
- SAS AML: 5 of 6 labels negative. "critiquing legacy vendors like NICE Actimize, SAS AML, Oracle Mantas, and FICO TONBELLER (Siron) for their shortcomings" (Muse Glimmer 30B, negative prompt)

## Record

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