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AML and transaction monitoring · November 2026 Edition

Sanction Scanner vs Fraudio

Zero of fourteen models named Sanction Scanner first on the direct prompt; zero named Fraudio. Sanction Scanner was named by seven of the fourteen models and Fraudio by eight and Sanction Scanner carries 15 labels and Fraudio 10, so the shares are not directly comparable.

Sanction Scanner

accepted challenger

Named in one category this edition.

Fraudio

accepted challenger

Named in two categories this edition.

First-choice share5%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 15; printed, not drawn.
Labels1510A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Sanction Scanner reading right to left. Rank and label count are printed, not drawn.ComplyAdvantage was named alongside these two in twelve of the fourteen direct answers. ComplyAdvantage vs Sanction Scanner · ComplyAdvantage vs Fraudio · Unit21 vs Sanction Scanner

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 AML and transaction monitoring page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Sanction ScannerFirst choices, of fourteen modelsFraudio
Direct00
Paraphrase00
Comparative00
Budget-constrained31
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Sanction Scanner and Fraudio were named in the same answer twelve times, of the 43 answers naming Sanction Scanner and the 40 naming Fraudio. In those answers Fraudio took the first choice zero times and Sanction Scanner three.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Sanction Scanner and Fraudio stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Sanction Scanner Fraudio first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sanction Scanner on the left and Fraudio on the right.

The direct prompt

The plain question, one answer per model, grouped by where Sanction Scanner and Fraudio stood in it.

Neither was the first choice, one was named

3 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarUnit21 alternatives: ComplyAdvantage, Fraud.net, Hawk AI, Sanction Scanner
Grok 4.20ComplyAdvantage alternatives: Flagright, Fraudio, Sardine, Unit21
Muse Glimmer 30BComplyAdvantage alternatives: AMLYZE, Bureau ID, Flagright, Fraudio, SEON, Unit21

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Alessa alternatives: ComplyAdvantage, Napier AI
GPT-5.4 miniUnit21 alternatives: Feedzai, Fenergo, NICE Actimize
Gemini 3.5 FlashUnit21 alternatives: ComplyAdvantage, Hawk AI, Sumsub
Mistral SmallComplyAdvantage, Flagright, Unit21 alternatives: Bureau ID
DeepSeek V4 FlashAML Watcher, ComplyAdvantage alternatives: FraudNet, Napier AI
Llama 4 Maverickno first choice
Qwen 3.7 FlashComplyAdvantage alternatives: AML Watcher, FICO Falcon Fraud Manager, NICE Actimize, VITAL4
Kimi K2Flagright, Unit21 alternatives: ComplyAdvantage
GLM 4.7 FlashXComplyAdvantage alternatives: AML Watcher, Flagright, Unit21
MiniMax M2.5ComplyAdvantage alternatives: Alessa, Flagright, FraudNet, Napier AI, Unit21
GPT-6 LunaUnit21 alternatives: ComplyAdvantage, Sardine

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.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Sanction Scanner leads by four points.
Sanction Scanner8%#4 of 12
Fraudio4%#8 of 12
The full small business standing →
Mid-marketThe figures above
Sanction Scanner leads by four points.
Sanction Scanner5%#5 of 15
Fraudio2%#8 of 15
The full mid-market standing →
Enterprise
The order flips: Fraudio leads at enterprise.
Fraudio4%#– of 13
Sanction Scanner0%#– of 13
The full enterprise standing →

What the models said about Sanction Scanner

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“Sanction Scanner is best for small to mid-size firms needing an affordable, easy-to-deploy AML stack with good UX.” Claude Haiku 4.5 · budget prompt · first choice
“I'd recommend starting with Sanction Scanner or Didit” Kimi K2 · budget prompt · first choice
“Sanction Scanner is the strongest default choice” Perplexity Sonar · budget prompt · first choice

What the models said about Fraudio

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“1. Fraudio — Best Overall for Payment Companies & Fintechs” DeepSeek V4 Flash · budget prompt · first choice
“Pay-per-use pricing with no setup or implementation fees, plus real-time fraud and AML monitoring.” Perplexity Sonar · budget prompt · alternative
“If you need a usage-based model with no upfront costs, Fraudio is also a strong contender.” Mistral Small · budget prompt · alternative
Also compared

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.