AI TOOL PROFILE
Sift: Digital Fraud Prevention and Risk-Based Authentication
- Security
- Cybersecurity
- Ecommerce stores
- Financial services providers
- Digital commerce platforms
- Fintech companies
- Enterprise-level digital businesses
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Ecommerce stores, Financial services providers, Digital commerce platforms, Fintech companies, Enterprise-level digital businesses
- Key use cases
- Preventing Account Takeover (ATO), Reducing Payment Fraud, Managing Chargeback Disputes, Combating Content Scams, Enhancing Internal Risk Models
- Official website
- Visit Sift official website
How AI is used
Sift is a cybersecurity platform designed to detect and prevent digital fraud across the customer journey. It uses a global data network and machine learning to provide risk scores in real time, which helps businesses decide whether to allow or block specific transactions and account activities.
The software is intended for ecommerce stores, financial services, and enterprise companies. It supports teams such as IT operations, product managers, and cybersecurity professionals who work to reduce chargebacks and protect user accounts.
Beyond full platform implementation, Sift offers a specific API for companies that have already built internal risk models but need external data context to support their detection accuracy.
Buyers should confirm if the platform's automation and rules-based decisioning align with their existing manual review workflows and compliance requirements, such as PSD2 or PSD3.
Key Features
Digital Fraud Detection
Identifies fraudulent patterns and threats across digital interactions using AI-powered models.
Risk-Based Authentication
Evaluates the risk level of a user session to determine the appropriate authentication challenge.
Real-Time Decisioning
Provides risk scores and actions to allow, block, or review transactions.
Account Takeover Protection
Designed to detect and prevent unauthorized access to user accounts.
Payment and Chargeback Protection
Identifies fraudulent payments and supports the dispute process to help reduce chargeback losses.
Sift Score API
Adds external risk scores and signals from a global consortium to internally-built risk models.
Case Management and Reporting
Tools for tracking fraud cases and generating reports on prevention efforts.
Use Cases
Preventing Account Takeover (ATO)
Identifying attacks where fraudsters attempt to gain control of legitimate user accounts.
Reducing Payment Fraud
Detecting fraudulent transactions at the point of sale to help protect revenue.
Managing Chargeback Disputes
Prioritizing high-value chargebacks and building responses to help mitigate losses.
Combating Content Scams
Identifying and blocking spam and phishing schemes within a digital platform.
Enhancing Internal Risk Models
Using the Sift Score API to add global network context to a company's own custom fraud engine.
FAQ
What does Sift do?
- Sift is a platform that uses AI and a global data network to detect and prevent digital fraud, including payment fraud, account takeovers, and content scams.
Who is Sift designed for?
- It is designed for digital businesses, particularly those in ecommerce, financial services, and enterprise sectors, as well as fraud and compliance teams.
Can Sift work with an existing internal fraud model?
- Yes, Sift offers a Score API designed to add external risk context and signals to internally-built risk models.
How does Sift handle chargebacks?
- Sift provides Dispute Management tools to help teams prioritize high-value chargebacks and build responses to reduce losses.
Source category: Security
Source subcategory: Cybersecurity
More tools in Security
Other published listings in the Security category.
More tools in the Cybersecurity software type
Related listings that share the same software type for comparison and shortlisting.
