Outsmart Spam and Scams

Create a secure environment, accelerate trusted interactions, and minimize manual reviews by stopping spam and scams at the source.

“Sift has really allowed us to focus on growth and enable our community to have a secure and trusted environment where they can share their personal style.”

—Robbie Fritts, Fraud & Payments Director at Poshmark

See Sift in Action See the case study

90%

Reduction in spam & scams

Fewer community-driven flags

80%

Reduction in manual moderation

Fake Content is Impacting the Bottom Line

Years of effort can be ruined in seconds. Whether it’s marketplaces, job listings, or online dating, fake listings can be emotionally and financially damaging. Safeguard your brand from being associated with these negative experiences by proactively preventing fraudulent listings.

68%

Increase in the frequency of spam and scams*

*Source: Sift research and analysis

79%

Of consumers say user-generated content impacts their purchasing decisions*

*Source: Stackla Survey

Fortify Your Online Platform Against Spam and Scams

Catch fraudulent users and content. Leverage AI to assess the fraud risk of both the content and content creator.

Ensure a seamless experience for trusted users. Create dynamic customer journeys with AI-based decisioning coupled with rules.

Illuminate unknown threats. Shine a light on hidden and emerging risk before harmful content can be created.

Building an internal risk engine? The Sift Score API adds critical external context to internally-built risk models. Detect global & industry threats with real-time risk scores powered by 1T annual consortium events. Build the way you want, without sacrificing access to the powerful tools in the Sift Console. Learn more.

Sift Content Integrity Drives Real Results

90%

Reduction in spam & scams through intelligent automation

5x

Fewer community driven flags.

80%

Reduction in manual moderation

Stay One Step Ahead of Content Fraud

Quickly identify fraudulent users and investigate their content by combining AI-fueled insight into customer behavior with guided content analysis.

“The entire Sift platform, but especially the ability of Sift’s machine learning model to learn very quickly and adapt to new behaviors, has helped us make faster, more accurate bans on scammers.”

Dawoon Kang

Chief Dating Officer and co-founder of Coffee Meets Bagel

Automate Fraud Detection and Prioritize Cases

Reduce manual reviews with ML-driven dynamic decisioning. Accelerate review rates with guided investigations and embedded case management.

It Takes a Network to Fight a Network

Advancements in AI are accelerating the rate and complexity of how fraudsters are facilitating content abuse. To meet this head on, Sift equips businesses with a network of AI-based fraud prevention. With over 1 trillion digital events analyzed each year, businesses can quickly spot and prevent international fraud rings from infiltrating their communities.

1T

Events per year

Stop fraudsters before they hit your site with insights from Sift’s expansive global network.

16k

Unique model attributes

Leverage models that include a comprehensive range of customer behavior signals.

90%

Reduction in spam & scams

Lean on proven benchmarks that embed trust into your brand experience.

AI-fueled Data and Decisioning Accelerates Secure Growth

View All Customer Stories

Sift has an extremely high accuracy rate, which allows us to make sure we provide the least amount of friction for our beloved community.”

Robbie Fritts

Director, Fraud and Payments at Poshmark

read customer story

60%-70%

Reduction in spam content

After integrating with Sift, our time to resolution has gone down 10x. What used to take hours and days now takes minutes. Sift has saved each of our engineers a few hours a day.”

Marissa Gordon

Director of Customer Success at Universe

read customer story

10x

Faster at resolving attacks

Choosing Sift was the right decision for our growth. Now, during an intense period of expansion, the company can focus on the user experience instead of chasing fraudsters and fake accounts.”