Stop Fake Accounts. Keep Growth Moving.

Sift analyzes every signup in milliseconds using a global data network and fraud patterns no single business could see alone. Stop synthetic identities and multi-account abuse at the door while approving more legitimate customers and accelerating growth.

See Sift in Action

Every Fake Account is a Future Cost

Businesses that overlook account creation become easy targets. As fake and synthetic identities grow more sophisticated, the impact spreads across risk, customer experience, and operations. Broad, opaque solutions may reduce losses but also lower approval rates and erode margins. Businesses pay for both the fraud that gets through and legitimate signups turned away.

$5.3B

in account creation fraud costs per year

Source: Ping Identity

8.3%

of new digital accounts created globally are suspected to be fraudulent.

*Source: TransUnion

Built to Stop Fraud at Sign Up

Risk scoring tuned to spot synthetic identities.
Ensemble AI and ML models combine device fingerprinting, identity signals, and insights from Sift’s Global Data Network to catch fake accounts before they convert. Models retrain automatically to stay ahead of evolving tactics.

Automation that makes fraud teams successful.
A no-code decision engine, workflow simulation, and block and accept lists help teams test policies and launch changes without developers. Turnkey integrations with IDV, KYC, and intelligence providers extend coverage.

Investigation tools that connect the dots.
A configurable console brings risk summaries, top signals, network visualization, and bulk decisioning into one place. Analysts can surface multi-account rings and fraud farms faster, with clear explanations behind every decision.

Real Impact for Real Teams

37%

fewer false positives

70%

fewer manual reviews

47%

reduction in financial losses

Stop Fraud at the Front Door

Fraud caught at signup never reaches the accounts that matter most. Real-time, explainable detection gives teams the confidence to block risk the moment it appears.

What initially drew me to Sift was the number of other partners it integrated with, and the ability to leverage the network effect of Sift across the partner ecosystem.”

Yan Pritzker

Co-founder & CTO of Swan Bitcoin

Let Legitimate Users Through Instantly

Automatic, built-in step-up challenges deploy only in response to suspicious activity. Converting customers move through instantly, while risky signups get the scrutiny they deserve.

Grow Signups Without Growing Your Team

Routine decisions run automatically with Sift Workflows, while analysts get a full view of account activity in one console. Complex cases resolve faster, without adding headcount.

What initially drew me to Sift was the number of other partners it integrated with, and the ability to leverage the network effect of Sift across the partner ecosystem.”

Yan Pritzker

Co-founder & CTO of Swan Bitcoin