Account Defense
Defend your users. Protect your brand.
Put an end to fake accounts, and stop losing customers to account takeover.
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Protect your customers and grow trust
Sift secures all of your accounts, so you can gain new users and retain existing ones.
Block fake accounts
Keep fraudsters and bots from signing up and damaging your brand and bottom line.
Stop account takeover
Prevent bad actors from accessing good accounts and eroding your customers' trust.
Reduce friction
Maintain a simple and secure experience for good users, while blocking the bad.
Speed, accuracy, and scalability in real time
The Sift engine is built to accelerate growth, while protecting your business from bad actors.
Bolstered by the largest global network of data in the industry, our real-time machine learning looks at more than 16,000 signals to identify good and bad users with unparalleled accuracy – so you can stop new attacks before they happen.
Learn how we’re differentHigh-risk alert
Credit card country mismatches IP address country: USA v. Indonesia
High-risk alert
New IP address detected: 184.22.236.51
High-risk alert
New desktop browser seen: Chrome on Windows 10
High-risk alert
Desktop browser last location: Jakarta
High-risk alert
Distance traveled between last login sessions: 14,404 km
Comprehensive capabilities
Everything your team needs to secure user accounts and work more efficiently.
Console
Easily detect anomalous behavior with a clear view of login history – from locations and devices to a timeline of sessions.
Network Graph
Use the global network graph to reveal connected fraudulent accounts, so you can stop attacks before they happen.
Workflows
Create dynamic login experiences, block or accept signups, or route accounts to review with automated Workflows.
Queues
Customizable Review Queues make the process faster and more efficient, so you can reduce friction for real customers.
The leader in Digital Trust & Safety
Join 34,000+ sites who trust Sift to deliver outstanding customer experiences, while preventing fraud and abuse.
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