Sift
Machine learning risk platform covering payment fraud, account abuse and content abuse.
About Sift
Sift is a fraud prevention platform that uses machine learning to tell legitimate customers from fraudsters in real time. It covers payment fraud, account takeover, and account abuse for businesses.
Sift Science Inc. operates under the Sift brand. It has been fighting fraud since 2011. Its leadership lists Marc Friend as Chief Executive Officer. Jason Tan is listed as Founder and Executive Chairman. Sift reports more than 700 customers. Customers named on its pages include DoorDash, Yelp, and Poshmark.
Drafted from sift.com · not yet confirmed by Sift
Open jobs
From Sift's own job board.
Sift · P4 · Remote, US
$170k – $230k
Pay
Locations
Their tool
In Tools & Services. Listed, not recommended.
Recently
From Sift's own newsroom feed and from the hiring team.
AI Scams Are Rising, and Peak Events Give Fraud More CoverFrom their feed
Fraud is becoming harder to distinguish from legitimate digital activity. AI-generated content is making scams more convincing, major events are creating new opportunities for attackers, and coordinated attacks can build beneath otherwise healthy transaction volumes. Sift’s Q3 2026 Digital Trust Index, AI Scams, Peak Events, and the Cost of a Slow Response, examines how these […] The post AI Scams Are Rising, and Peak Events Give Fraud More Cover appeared first on Sift .
October 2, 2026
What is Credential Stuffing, and How do you Stop it?From their feed
A credential stuffing attack doesn’t require a fraudster to guess anything. It exploits a simple reality: most people reuse passwords, and billions of those passwords are already sitting in leaked databases. Fraud and security teams who understand how this attack actually operates can catch it long before it turns into an account takeover. Understanding how […] The post What is Credential Stuffing, and How do you Stop it? appeared first on Sift .
October 2, 2026
Tokens are work’s new currency. Fraud got there first.From their feed
Anthropic sells Claude Opus input tokens for between $4 to $5 per million, depending on model version. On Taobao, resellers move the same access for a fraction of that price, sometimes as little as 10% of the list price. That gap doesn’t close itself. Something is funding it, and it isn’t one thing. It’s several […] The post Tokens are work’s new currency. Fraud got there first. appeared first on Sift .
October 2, 2026
Reduce Manual Review While Improving Acceptance RatesFrom their feed
Over time, Trust and Safety teams deal with a problem where the more fraud that’s caught, the more manual review queues grow. Technically, they can remedy this issue by cutting review volume to protect the customer experience, but when they do this, false declines will creep up instead. Recent industry data suggests this doesn’t need […] The post Reduce Manual Review While Improving Acceptance Rates appeared first on Sift .
October 2, 2026
Responsible Gambling and Fraud MonitoringFrom their feed
Responsible gambling and fraud prevention used to live in separate departments with separate tools and separate KPIs. That split does not hold up anymore. The same behavioral signals that flag a fraudster opening a fake account can also flag a player heading toward harm, and iGaming operators that connect these two disciplines are catching more […] The post Responsible Gambling and Fraud Monitoring appeared first on Sift .
October 2, 2026
Fraud Protection for Commerce Marketplaces and P2P PlatformsFrom their feed
Two-sided platforms carry a much heavier fraud burden compared to single-sided retailers. Every buyer, seller, renter, and payer is a potential attack surface, and one bad actor can hit both sides of a transaction at once. For commerce marketplaces and peer-to-peer (P2P) platforms, fraud protection functions as trust infrastructure, determining whether people keep transacting on […] The post Fraud Protection for Commerce Marketplaces and P2P Platforms appeared first on Sift .
September 22, 2026