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Index › Receivables and billing › Ecommerce fraud › Signifyd vs Sift
Ecommerce fraud prevention · October 2026 Edition

Signifyd vs Sift

Four of fourteen models named Signifyd first on the direct prompt; two named Sift. Both were named by all fourteen models and Signifyd carries 43 labels and Sift 44, so the shares are not directly comparable.

Signifyd

accepted challenger

Named in two categories this edition.

Sift

accepted challenger

Named in three categories this edition.

First-choice share8%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate19%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 11; printed, not drawn.
Labels4344A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Signifyd reading right to left. Rank and label count are printed, not drawn.SEON was named alongside these two in ten of the fourteen direct answers. SEON vs Signifyd · SEON vs Sift · Eftsure vs Signifyd

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 ecommerce fraud prevention page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
SignifydFirst choices, of fourteen modelsSift
Direct421 against Signifyd
Paraphrase002 against Sift
Comparative62
Budget-constrained002 against Signifyd
Scale-constrained00
Negative005 against Signifyd · 5 against Sift
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 October 2026 Edition, Signifyd and Sift were named in the same answer 117 times, of the 198 answers naming Signifyd and the 161 naming Sift. In those answers Sift took the first choice nine times and Signifyd twenty-one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Signifyd and Sift stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
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
Signifyd Sift first choice named as an alternative argued againstblank: not namedEach cell is one answer, Signifyd on the left and Sift on the right.

The direct prompt

The plain question, one answer per model, grouped by where Signifyd and Sift stood in it.

Signifyd first, Sift an alternative

4 of 14 modelsSift was named in the answer but not as the choice, or not at all.
Mistral SmallSignifyd alternatives: NoFraud, Sift
Qwen 3.7 FlashSignifyd alternatives: Fingerprint, Kount
GLM 4.7 FlashXSignifyd alternatives: ClearSale, Eftsure, SEON, Sift
Muse Glimmer 30BSignifyd, Wyllo, formerly NoFraud alternatives: Eftsure, SEON

Sift first, Signifyd an alternative

2 of 14 modelsSignifyd was named in the answer but not as the choice, or not at all.
GPT-5.4 miniSift alternatives: Forter, Kount, Signifyd
Grok 4.1 FastSift alternatives: Chargeflow, Fingerprint, SEON, Signifyd, Wyllo

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5FraudNet, Trustmi alternatives: Kount, Sift, Signifyd
Gemini 3.5 FlashSEON alternatives: Allianz Trade Pay, Sift, Signifyd, TreviPay
Perplexity SonarSEON alternatives: Kount, Sift, Signifyd
DeepSeek V4 FlashSEON alternatives: Sift, Signifyd, Stripe Radar
Llama 4 MaverickWyllo alternatives: NoFraud, SEON, Sift, Signifyd, cside

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Kimi K2SEON alternatives: Eftsure, Kount, Trustmi
MiniMax M2.5ClearSale, SEON alternatives: Forter, Riskified
GPT-6 LunaSEON alternatives: Kount

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
Signifyd leads by five points.
Signifyd7%#4 of 12
Sift2%#7 of 12
The full small business standing →
Mid-marketThe figures above
Signifyd leads by four points.
Signifyd8%#4 of 11
Sift4%#6 of 11
The full mid-market standing →
Enterprise
Signifyd leads by nine points.
Signifyd20%#2 of 9
Sift11%#3 of 9
The full enterprise standing →

What the models said about Signifyd

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

“Signifyd's public terms define eligible chargebacks narrowly... That's a reason to get the exact coverage schedule and exclusions in the signed agreement—not, by itself, a reason to avoid Signifyd.” GPT-6 Luna · negative prompt · soft negative
“Choose Signifyd or Riskified if: You want to outsource fraud completely... Go with Signifyd if you are mid-market and want seamless e-commerce platform plug-ins.” Gemini 3.5 Flash · comparative prompt · first choice
“The original "chargeback guarantee" pioneer ... Best fit: High-volume merchants ($10M+ GMV) who want fraud completely off their plate.” Kimi K2 · comparative prompt · first choice
“The Best Overall (Especially for Open Credit): Signifyd ... widely considered the gold standard for B2B commerce” Qwen 3.7 Flash · direct prompt · first choice

What the models said about Sift

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

“Can be complex to configure; occasional false positives requiring manual review. Not ideal for very small teams due to setup overhead.” Grok 4.1 Fast · negative prompt · soft negative
“Unlike consumer-focused tools (like Sift or Stripe Radar), these are specifically designed for B2B payment workflows” Kimi K2 · paraphrase prompt · soft negative
“Some users note that the system can occasionally generate false positives, which may require additional review time.” Claude Haiku 4.5 · negative prompt · soft negative
“Start with Sift for most mid-market B2B ecommerce—it's consistently #1 in G2 rankings for balanced performance without overkill.” Grok 4.1 Fast · direct prompt · first choice
“Sift maintains #1 position across all fraud prevention categories in G2's Fall 2025 Reports” Muse Glimmer 30B · comparative prompt · first choice
“Sift - Top-rated on G2 for real-time detection.” Grok 4.1 Fast · comparative prompt · first choice
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.