Sift
AI trust and safety platform preventing payment fraud, account takeover, and content abuse for digital businesses.
What it does
Sift is an AI-native digital trust and safety platform - using ML to prevent payment fraud, account takeover attacks, content abuse, and spam for e-commerce, fintech, and marketplace companies. AI capabilities include ML real-time fraud scoring evaluating transactions, logins, and account actions in milliseconds, global network effects improving detection from learning across thousands of Sift customers, AI account takeover detection identifying compromised credentials, automated fraud review queues prioritizing highest-risk actions, dispute analytics surfacing fraud loss patterns, and ML content moderation detecting spam and fake reviews.
Why AI-NATIVE
Sift is AI-native - ML real-time fraud scoring from behavioral, device, and network signals that autonomously approve or decline digital actions is the core product architecture.
Best for
Mid-market e-commerce and fintechs use Sift for AI fraud prevention - ML scoring reducing chargebacks and account takeover protection securing customer accounts.
Large digital businesses use Sift for enterprise trust and safety - ML processing millions of transactions daily with global network intelligence improving detection.
Limitations
Forter and Signifyd offer competing AI fraud platforms — compare chargeback guarantees and approval rate impact.
ML accuracy improves with transaction volume — new customers see less accurate scoring during ramp-up.
Models require calibration to balance fraud prevention against customer friction.
Alternatives by segment
Sift pricing based on API events. Mid-market contracts from approximately $20,000 annually. Enterprise pricing negotiated. Annual contracts.
