Question: Can you recommend a fraud detection system that uses AI to identify and block malicious transactions?

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IPQS

If you're looking for an AI-based fraud detection system to flag and block suspicious transactions, IPQS is a good all-purpose option. It provides real-time insights through sophisticated algorithms that scrutinize more than 300 data points to generate a scoring and risk assessment. With features like proxy and VPN detection, email verification and fraud scoring, IPQS can help businesses reduce fraud and improve cybersecurity. It integrates with many popular tools like Hubspot, Salesforce and Outreach, so it's available to companies of any size.

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IBM Security Trusteer

Another good choice is IBM Security Trusteer, which uses AI and machine learning to authenticate customers and spot fraud across all customer interactions. It includes real-time fraud detection, identity risk assessment and malware protection to help businesses reduce the likelihood of unauthorized access. Trusteer products are designed to protect digital logins and transactions so customers can have a frictionless experience while Trusteer continuously evaluates user behavior to flag fraud risk.

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Sift

For companies that want to grow their business without fraud without undermining trust, Sift has a more powerful AI-based fraud decisioning platform. It's designed to handle fraud problems like account takeover and payment fraud with detailed user-level signals across the user lifecycle. Sift's tools include Account Defense, RiskWatch and FIBR, which can help businesses cut costs and achieve measurable growth.

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Forter

Forter also has a good fraud management tool with its Identity Intelligence platform. It can make real-time decisions for every customer interaction to block fake accounts, payment fraud and policy abuse. With Identity Protection, Fraud Management and Chargeback Recovery, Forter is designed to maximize customer lifetime value while minimizing risk, which can be useful for companies trying to run their digital commerce operations at the highest level.

Additional AI Projects

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Riskified

Optimizes revenue while minimizing fraud and policy abuse, increasing approval rates by 4-8 percentage points with machine learning and automation.

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Kount

Proactively prevents fraud and chargebacks with real-time AI-driven profiles, preserving revenue and enabling secure customer interactions across the entire customer journey.

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DataDome

Identifies and blocks online fraud attacks in real-time with high accuracy and minimal false positives, ensuring seamless user experience and robust security.

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Sardine

Sardine's platform uses machine learning and 4,000+ features to predict and prevent identity fraud.

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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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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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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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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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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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Callsign

Authenticates users and detects fraud with AI-driven intelligence, behavioral biometrics, and multi-factor authentication, balancing security with user experience.

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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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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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Veriff

Automates identity verification with AI, providing fast and seamless onboarding, while ensuring regulatory compliance and preventing fraud.

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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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SHIELD

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

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Nasdaq Verafin

Combines machine learning and consortium analytics to detect unusual payment patterns, strengthen security, and improve efficiency in financial crime management.

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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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Anura

Anura's accurate fraud detection removes bots, malware, and human fraud to boost conversions.

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Onfido

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