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Ecommerce fraud prevention · October 2026 Edition

Eftsure vs Sift

Zero of fourteen models named Eftsure first on the direct prompt; two named Sift. Eftsure was named by eleven of the fourteen models and Sift by fourteen and Eftsure carries 16 labels and Sift 44, so the shares are not directly comparable.

Eftsure

accepted challenger

Named in three categories this edition.

Sift

accepted challenger

Named in three categories this edition.

First-choice share16%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 11; printed, not drawn.
Labels1644A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Eftsure reading right to left. Rank and label count are printed, not drawn.Signifyd was named alongside these two in eleven of the fourteen direct answers. SEON vs Eftsure · SEON vs Sift · Eftsure vs Stripe Radar

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.
EftsureFirst choices, of fourteen modelsSift
Direct02
Paraphrase802 against Sift
Comparative02
Budget-constrained00
Scale-constrained00
Negative005 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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Eftsure 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
Eftsure Sift first choice named as an alternative argued againstblank: not namedEach cell is one answer, Eftsure on the left and Sift on the right.

The direct prompt

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

Sift first, Eftsure not the choice

2 of 14 modelsEftsure 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

9 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
Mistral SmallSignifyd alternatives: NoFraud, Sift
DeepSeek V4 FlashSEON alternatives: Sift, Signifyd, Stripe Radar
Llama 4 MaverickWyllo alternatives: NoFraud, SEON, Sift, Signifyd, cside
Kimi K2SEON alternatives: Eftsure, Kount, Trustmi
GLM 4.7 FlashXSignifyd alternatives: ClearSale, Eftsure, SEON, Sift
Muse Glimmer 30BSignifyd, Wyllo, formerly NoFraud alternatives: Eftsure, SEON

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Qwen 3.7 FlashSignifyd alternatives: Fingerprint, Kount
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
Sift leads by two points.
Sift2%#7 of 12
Eftsure0%#– of 12
The full small business standing →
Mid-marketThe figures above
The order flips: Eftsure leads at mid-market.
Eftsure16%#2 of 11
Sift4%#6 of 11
The full mid-market standing →
Enterprise
The order flips: Sift leads at enterprise.
Sift11%#3 of 9
Eftsure2%#– of 9
The full enterprise standing →

What the models said about Eftsure

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

“Best for Preventing B2B Payment Fraud (Vendor/Invoice Fraud) ... Eftsure ... Designed specifically for mid-to-large enterprises managing complex vendor ecosystems.” Qwen 3.7 Flash · paraphrase prompt · first choice
“Eftsure is the most specialized and highly recommended due to its real-time vendor validation, B2B focus, and financial guarantee.” Mistral Small · paraphrase prompt · first choice
“I'd suggest starting with Eftsure or Trustmi since they're specifically built for B2B payment fraud use cases.” MiniMax M2.5 · paraphrase 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.