Sift

Sift is a fraud prevention and risk-based authentication platform for digital businesses. Detect fraud across authentication, payments, disputes, and content risk with AI-driven decisioning and a global data network.

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What Sift does

Sift is a fraud prevention and risk-based authentication platform for digital businesses. Its site positions the product around AI-powered risk decisioning, identity insights, and operational tools that help teams detect fraud, manage risk, and reduce friction across the customer journey.

The platform is presented as a single system with multiple solutions and packaged products, including Payment Protection, Content Integrity, Account Defense, and Dispute Management. Sift also highlights a global data network, rules, reporting, and a Score API for teams that want to combine external risk context with internal models.

Core capabilities

AI-powered risk decisioning

Sift combines a large global data network with AI-fueled models to produce real-time risk decisioning and identity-level insight.

Global data network

The platform uses more than 1 trillion annual events and over 34,000 sites and apps to inform scoring and detection.

Score API for custom models

Sift exposes a Score API that adds external context to internally built risk models for teams operating their own risk engine.

Rules and decisioning tools

The platform includes rules and actionable insights so teams can apply policy-based controls alongside automated decisions.

Case management and reporting

Sift supports case management and reporting to help teams investigate fraud cases, collaborate, and track outcomes.

Packaged solutions by workflow

The site highlights packaged products for payment protection, content integrity, account defense, and dispute management.

Common ways teams use Sift

Account creation and login
Use Sift to score sign-up and login activity, spot account takeover patterns, and reduce friction for legitimate users during authentication.
Payment protection
Apply risk decisioning to transactions and payment flows to detect payment fraud and protect revenue before losses occur.
Chargeback and dispute handling
Use the platform to review post-transaction disputes and prioritize higher-value chargebacks with a streamlined dispute workflow.
Content and policy abuse
Monitor content, spam, and scam activity to protect brand trust in user-generated or marketplace environments.
Augmenting internal risk models
Add external risk context through the Score API when your team already operates an internal risk engine and wants more data for decisioning.

Pros and Cons

Pros

Combines AI decisioning with a large global data network.
Covers multiple fraud workflows from signup through post-transaction review.
Includes both packaged products and an API for teams building their own risk logic.
Provides case management and reporting for operational review.

Cons

The provided source does not list supported integrations or connected systems in detail.
Pricing, trial, and deployment specifics are not shown in the collected text.
Some capability descriptions are high level, so exact workflow depth is unclear from the source alone.

FAQ

What kinds of businesses is Sift for?

Sift is positioned for digital businesses that need fraud prevention and risk-based authentication across the customer journey, especially for sign-up, login, account activity, transactions, and post-transaction review.

What does Sift provide beyond basic fraud blocking?

The source describes Sift as an AI-powered platform with decisioning tools, a global data network, and case management and reporting. It also highlights a Sift Score API for teams building an internal risk engine.

What use cases does Sift support?

The platform pages point to workflows for account creation, account takeover, payment fraud, chargeback fraud, content scams, money movement, and policy abuse, but they do not list every supported integration or downstream system.

How is Sift organized as a product?

Sift’s site emphasizes platform-level decisioning, products such as Payment Protection, Content Integrity, Account Defense, and Dispute Management, and a partner ecosystem, rather than a simple single-purpose fraud filter.

Does the source show pricing details?

Pricing and package details are not shown in the provided source text, so the site content here does not establish plan names, trial terms, or published rates.

Quick Facts

Category: Fraud prevention
Primary use: Risk-based authentication and fraud decisioning
Platform: AI-powered digital risk platform
Website: sift.com
Packaged products: Payment Protection, Content Integrity, Account Defense, Dispute Management
Notable data scale: 1T+ annual events and 1.6B authentic digital footprints