Continuous risk scoring
Evaluate account and transaction events using custom, industry, and global models. Sift reports real-time scoring in less than 150 milliseconds.
Sift
Real-time fraud prevention and risk decisioning for digital businesses and fraud teams.
O que é Sift?
Sift is a machine learning fraud prevention platform for digital businesses. It evaluates risk across account creation, login, account activity, payments, and post-transaction review to help teams prevent payment fraud, account takeover, and account abuse while reducing friction for legitimate customers.
The platform combines business event data with intelligence from a global network processing more than one trillion events annually across 700+ brands. Fraud analysts can inspect decision signals, configure automated responses, and investigate cases in a connected workflow. Its Account Defense and Payment Protection solutions cover account security and transaction risk.
O que Sift pode fazer?
Configurable decision workflows
Adjust thresholds, workflows, and customer friction with visibility into the signals and models behind decisions. Automate routine cases and direct analyst attention to higher-risk activity.
Global profile intelligence
Enrich customer and event data with identity-level context from behavior across Sift’s network, including users a business has not previously encountered.
Attack Detection Agent
Detect anomalous activity and investigate alerts using charts that compare activity with normal baselines. Track alert ownership, status changes, and analyst actions through a unified timeline.
Investigation and optimization tools
Open alerts in Explore with the relevant cohort, time range, and scenario already selected. Use case management, reporting, and workflow analysis to refine fraud operations.
Casos de uso
“Protect e-commerce checkout”
Assess stolen-card payments and card testing while managing approval decisions. Monitor account access to protect loyalty points and stored value.
“Manage software signup abuse”
Identify fake signups and trial abuse, then monitor subscription accounts for compromised logins as the customer base grows.
“Investigate iGaming account networks”
Detect linked accounts associated with deposit fraud, bonus abuse, and cash-out activity across the player journey.
“Secure fintech customer journeys”
Assess fake-account risk during onboarding and monitor account access and transactions for unauthorized transfers.
Perguntas frequentes
What does implementation support include?
Sift Professional Services offers project management and integration guidance. Ongoing services can include workflow auditing, model tuning, labeling, and strategic reviews.
Can analysts review and change automated decisions?
Teams can inspect decision data and configure thresholds, workflows, and friction. Analysts also have tools to investigate higher-priority cases and review workflow performance.
Can account protection and payment protection work together?
Yes. Sift offers Account Defense and Payment Protection within its platform, allowing businesses to address account abuse and payment risk across the same customer journey.
How can a business evaluate Sift?
Sift offers a demo and a conversation with its team about the business’s fraud challenges.
Informações rápidas
- Category
- Fraud prevention and risk decisioning
- Primary users
- Fraud analysts and trust and safety teams
- Coverage
- Signup through post-transaction review
- Named solutions
- Account Defense; Payment Protection
- Website
- https://sift.com
Análise de tráfego de Sift
Os dados de tráfego são apenas para referência.
- Classificação do domínio
- 81
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