Sift
Cybersecurity Verified May 2026
Sift uses machine learning across a trillion-event data network to score fraud, account takeover, and abuse in real time so digital businesses block bad actors without blocking real customers.
- Massive data network
- Real-time decisions
- Covers many fraud types
- Tunable to your risk
How Sift scored 48/100
6 weighted criteria, each scored out of 10 and published with its reasoning. Featured placements never move a score.
Deal Strength
3.0 /10Sift's pricing is custom and unpublished, and the listing carries no coupon, credits or verified discount. All the link does is open a pricing negotiation, which is worth nothing by itself.
Value for Money
3.0 /10Reported quotes start at $30k–$40k a year, and paying $40k+ a year for prevention rarely pencils out for early-stage teams with low fraud loss. Pricing transparency and SMB fit are its weakest areas — it is over-specified for low volume.
Capability
9.0 /10Sift scores risk against a global fraud-signal network covering roughly 1 billion users — payments, account creation, login, content and promo abuse — with a Workflows engine and case-management interface. It protects 700+ global brands across 1T+ annual events, falling short of a perfect 10 only because narrower tools win single use cases.
Time to Value
3.0 /10Setup runs 4–8 weeks: you instrument a front-end SDK and server-side APIs before scoring is trustworthy. Rivals in the same comparison land inside that 4–8 week window too, so treat Sift as an engineering project rather than a switch you flip.
Trust & Reliability
8.0 /10Sift holds G2's #1 position in fraud prevention plus multiple leader awards, protects 700+ global brands including Patreon and Yelp, and is strongest on network signal and decision speed. Uptime figures, compliance detail and review counts are not published.
Flexibility & Exit
3.0 /10Pricing is a custom annual arrangement, typically a base platform fee plus per-event charges, so you are committed for the year. Cancellation terms and export detail are not published, which matters when fraud models hold your history.
About Sift
Quick answer
Sift is an AI-powered fraud and risk decisioning platform for online businesses. It analyzes user behavior, devices, and transactions across a massive global data network to score risk in real time and automate fraud decisions across payments, account creation, and content. Pricing is enterprise and quote-based, typically scaling with event volume and the modules you enable.
What is Sift?
Sift is a Digital Trust and Safety platform that helps online businesses fight fraud and abuse across the entire customer journey. Rather than focusing only on payment fraud, it covers account creation, account takeover, payment protection, and content integrity. The platform ingests signals such as device fingerprints, IP and location data, transaction patterns, and behavioral cues, then uses machine-learning models to assign a real-time risk score that drives automated allow, block, or review decisions.
Its core advantage is data scale. Sift draws on a global network of roughly a trillion events per year, which sharpens its models and lets it recognize fraud patterns seen elsewhere on the network before they hit you. Risk and trust teams use Sift to reduce chargebacks and abuse while minimizing false declines that frustrate legitimate customers, and they can tune decision logic to match their own risk tolerance.
Key features
Real-time risk scores
Every event gets a Sift Score in milliseconds so you can automate allow, block, or review decisions instantly.
Global data network
Models learn from a network of around a trillion annual events, catching patterns seen across many businesses.
Payment protection
Reduce chargebacks and fraud losses on transactions while limiting false declines of good customers.
Account defense
Detect account takeover and stop fraudulent or bot-driven account creation at signup and login.
Content integrity
Flag spam, scams, fake reviews, and abusive content before it reaches your users.
Decision automation
Build and tune rules and workflows on top of the ML scores so analysts focus only on genuine edge cases.
Sift pricing
Sift does not publish standard self-serve pricing. Contracts are enterprise and quote-based, scaled primarily by your event or API-call volume and the modules you enable, such as payment protection, account defense, or content integrity. Based on third-party buyer data, annual contracts commonly land in the mid-five figures and rise from there for higher-volume businesses, with entry deployments sometimes starting lower. Because pricing is negotiated, model your real event volume and confirm the exact terms and module mix directly with Sift before budgeting.
Sift vs SEON vs Signifyd
| Tool | Best for | Pricing | Standout |
|---|---|---|---|
| Sift | Multi-vector fraud and abuse coverage | Quote-based, enterprise | Trillion-event data network and ML scoring |
| SEON | Teams wanting flexible, transparent fraud tooling | Usage-based with a free tier | Digital footprint and email/phone enrichment |
| Signifyd | Ecommerce wanting chargeback guarantees | Performance-based on protected orders | Financial guarantee on approved orders |
✓ Use it if you
- Run a marketplace, fintech, or high-volume ecommerce business
- Face real losses from fraud, ATO, or abuse
- Want ML scoring plus tunable decision rules
- Have engineering resources to integrate and maintain it
✗ Skip it if you
- Are a small store with minimal fraud exposure
- Need transparent, self-serve, low-cost pricing
- Lack engineering time to integrate a risk platform
- Only want a chargeback guarantee rather than tooling
Is Sift worth it?
Sift is genuinely worth it for businesses with serious fraud exposure: marketplaces, fintechs, and high-volume ecommerce where chargebacks, account takeover, and abuse cause measurable losses. Its data network and ML models are among the best, and the ability to automate decisions while keeping false declines low protects both revenue and customer experience. The reasons to wait are cost and complexity. Pricing is quote-based and lands in enterprise territory, and you need engineering time to integrate and tune it. Smaller stores with light fraud should start with a cheaper, more transparent option and graduate to Sift when the losses justify it.
What's included
- Real-time Sift Score for every event
- Global data network of ~1 trillion annual events
- Payment fraud protection and chargeback reduction
- Account takeover and fake-account detection
- Content integrity for spam and abuse
- Device fingerprinting and behavioral signals
- Customizable decision rules and workflows
- Analyst console for review and investigation
Sift pricing
Verified May 2026. Vendor's published rates at the time we checked — always confirm at checkout.
| Plan | Price | Term | What you get |
|---|---|---|---|
| Growth | Custom | usage-based, per scored event | Account defense · Payment protection · Dispute management · Developer API · Console dashboard |
| Enterprise | Custom | annual contract | All products · Content integrity · Account defense · Order protection · Dedicated support · SLA |
Getting started
4 steps. The last one is the part most people skip.
- 1
Open Sift through the link on this page
It carries our referral tag. The price you pay is identical either way, and it never changes the score on this page.
- 2
Compare the tiers against what you actually use
The pricing table on this page lists what each plan includes. Match it to real usage rather than the tier the vendor highlights.
- 3
Start on the smallest plan that fits
Most vendors let you move up mid-cycle and bill the difference, so starting low costs you nothing but starting high does.
- 4
Check the renewal terms before you commit
Note the renewal date and the rate it reverts to, so the second invoice is not a surprise. Annual plans are usually cheaper per month but harder to exit.
Where Sift wins and loses
What works
- Massive data network
- Real-time decisions
- Covers many fraud types
- Tunable to your risk
What doesn't
- Opaque, enterprise pricing
- Integration effort
- Overkill for small stores
The bottom line
A powerful, network-driven fraud prevention platform for high-volume enterprises, but its custom annual pricing and long setup make it a poor fit for SMBs.
Sift is a machine-learning fraud and Digital Trust and Safety platform. It analyzes behavior, devices, and transactions to assign real-time risk scores and automate decisions across payments, account creation, account takeover, and content abuse for online businesses.
Sift uses quote-based enterprise pricing scaled by event or API-call volume and the modules you enable. Third-party data shows annual contracts commonly in the mid-five figures, rising with volume. Model your event volume and confirm terms directly with Sift.
Common alternatives include SEON, which offers flexible usage-based pricing and a free tier, Signifyd, which adds a chargeback guarantee for ecommerce, and Kount. The right choice depends on your fraud type, volume, and how much engineering support you have.
Sift fits marketplaces, fintech companies, and higher-volume ecommerce businesses that face real losses from fraud, account takeover, or abuse and have engineering resources to integrate and tune a risk platform.
Yes. Sift returns a risk score for each event in milliseconds, which lets you automate allow, block, or manual-review decisions at the moment a customer signs up, logs in, or makes a payment.
