Question: Is there a technology that can help reduce fraud rates while improving customer satisfaction in digital commerce?

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Callsign

If you're looking for a technology to lower fraud rates while increasing customer satisfaction in digital commerce, Callsign could be a good option. Callsign's suite of passive authentication, fraud prevention and intelligence solutions, based on behavioral biometrics and machine learning, protects digital identities and prevents fraud. Its platform includes an Intelligence Engine for authenticating users and detecting fraud, an Orchestration Layer for directing user interactions, and an Authentication Suite with advanced multi-factor authentication options. That means it's a scalable, cost-effective way to lower fraud rates and increase customer satisfaction without sacrificing user experience.

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Forter

Another good option is Forter, which provides real-time identity intelligence to reduce risk and increase customer lifetime value. Forter's Identity Intelligence platform includes Identity Protection, Fraud Management, Payment Optimization, Chargeback Recovery, and Abuse Prevention. With the power of AI and machine learning, Forter provides instant trust assessments for every digital interaction, resulting in a substantial reduction in chargeback rates and false declines. That means it can be a good option for optimizing digital commerce operations, as ASOS, Priceline and Mattress Firm have found.

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Riskified

For a fraud and risk intelligence platform, take a look at Riskified. Riskified's AI-based platform helps e-commerce companies maximize revenue while minimizing fraud. It reviews more than 480 data attributes and offers features like Chargeback Guarantee, Policy Protect, Dispute Resolve, and PSD2 Optimize. Riskified's platform has delivered impressive results, including a 50% reduction in fraud costs and a 20% decrease in manually reviewed orders. It's designed to deliver frictionless customer experiences and fast, secure payments.

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Sift

Last, Sift offers an AI-based fraud decisioning platform that helps businesses grow safely and prevent fraud without undermining trust. Sift tackles fraud problems like account takeover and payment fraud with detailed user-level signals across the user journey. Its features include Account Defense, RiskWatch, Workflow Simulation and FIBR, which help businesses achieve measurable growth and maintain customer trust. Sift is used by more than 700 global brands across many industries to accelerate growth while keeping security top of mind.

Additional AI Projects

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IBM Security Trusteer

Authenticates customers, prevents fraud, and protects against malicious users across all channels with AI-driven digital identity trust and real-time risk assessment.

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NoFraud

Combines AI models and human oversight to deliver accurate pass or fail decisions on orders in real-time, eliminating chargebacks and increasing revenue.

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Vesta

Approve more transactions and eliminate fraud with sophisticated risk scoring and AI-driven decision tools, reviewing billions of data points in real-time.

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Incognia

Combines persistent device fingerprinting and indoor location intelligence to provide a frictionless risk solution, preventing fraud and reducing false positives.

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Accertify

Links identities across digital channels, recognizing loyal customers and separating them from fraudsters through real-time machine learning analysis of device data.

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IPQS

Analyze 300+ data points to score and assess risk with precision, stopping fraudulent activity with real-time insights and customizable security settings.

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Onfido

Automates identity verification and onboarding, reducing costs and ensuring compliance with KYC and AML regulations through AI-powered verification.

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nudata Security

Combines behavioral biometrics, device insights, and trusted network data to identify legitimate users and flag high-risk accounts in real-time, ensuring seamless security.

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Arkose Labs

Combines real-time risk assessments, machine learning analytics, and powerful attack responses to deliver strong security against digital fraud and bots.

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SEON

Advanced digital footprinting, machine learning, and customizable rules empower businesses to detect and prevent fraud and money laundering threats in real-time.

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HUMAN Security

Protects businesses and users from sophisticated bot attacks, fraud, and account abuse with end-to-end security across multiple customer touchpoints.

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SHIELD

Identify and trust devices, users, and accounts with persistent and accurate device intelligence, enabling informed decisions and minimizing risk.

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Verisoul

Automates fraud prevention, detecting and blocking fake accounts, bot attacks, and payment fraud in real-time, ensuring a secure and seamless user experience.

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Yoti

Verify customer identities, age, and digital signatures with a single platform, combining automated and human review for maximum success rates and security.

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Deduce

Detects and prevents AI-generated synthetic identities in real-time, reducing financial fraud and account creation churn for companies.

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Sumsub

Verify users, businesses, and transactions globally with seamless online identity verification, machine learning-powered fraud prevention, and customizable compliance checks.

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Signicat

Automates identity workflows, fighting fraud and ensuring regulatory compliance, with flexible features for onboarding, authentication, electronic signing, and orchestration.

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Dodgeball

Unifies fraud tools and logic, enabling real-time visibility and optimization of fraud solutions through a single integration, reducing friction and maximizing revenue.

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Flagright

Utilize AI-powered risk detection and real-time transaction monitoring to identify and prevent financial crime, ensuring compliant and secure transactions.

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LexisNexis Risk Solutions

Combines Big Data, advanced analytics, and proprietary linking to deliver actionable insights, enabling businesses to identify and mitigate risks, ensure compliance, and drive growth.