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"Iovation is a key pillar in our strategy to reduce the impact of rogue tradespeople on homeowners using our service. We’ve seen material financial benefit from using their device recognition technology to reduce our exposure to promotion abuse."
"We know that [TransUnion TruValidate] will alert us to fraudulent orders. Thanks to our higher tolerance level, our customers have an easier shopping experience."
Kount’s Identity Trust Global Network delivers real-time fraud prevention and enables personalized customer experiences for more than 6,500 leading brands and payment providers. Linked by Kount’s award-winning AI, the Identity Trust Global Network analyzes signals from 32 billion annual interactions in order to customize user experiences across the spectrum of trust—from frictionless experiences to blocking fraud. Quick and accurate identity trust decisions deliver safe payments, account creation and login events, while reducing digital fraud, chargebacks, false positives, and manual reviews.
Sift is the AI-powered fraud platform securing identity trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.
Accertify is a leader in providing e-commerce companies with hosted software solutions, tools and strategies for preventing online fraud and mitigating enterprise-wide risks. Accertify's Interceptas Platform integrates the various components of fraud prevention, applies state-of-the-art automation, and offers advanced capabilities for managing fraud data. Built with a merchant's perspective, the Interceptas Platform delivers flexibility in preventing fraud related to card-not-present purchases, online scams and policy abuse, merchandise returns and exchanges and other data management challenges.
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