Question: Do you know of a solution that uses machine learning to detect high-risk clients and anomalies in user behavior?

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JuicyScore

If you're looking for a machine learning-based system to identify high-risk customers and behavioral anomalies, there are a few other contenders. JuicyScore has a mature fraud prevention and customer protection system. It offers detailed assessments of risk based on more than 50,000 parameters from each device, and it's geared for financial services, e-commerce, insurance and other businesses. The system is designed to be fast to deploy and to meet global security standards.

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nudata Security

Another contender is nudata Security. The patented technology combines behavioral biometrics and device information to assess user behavior in real time. It offers high-precision risk scores and can spot and block suspicious activity without harming legitimate users. Its combination of features makes it a good option for financial services and e-commerce companies trying to balance security and convenience.

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Incognia

Incognia offers persistent device fingerprinting and indoor location intelligence to thwart fraud and ensure a safe digital journey. It spots anomalies like location spoofing and app tampering, and it's good for companies like financial services and food delivery. Its ability to identify users across multiple devices and to offer frictionless risk assessments is notable.

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Flagright

Last, Flagright has an AI-native system for AML compliance and fraud prevention. It includes automated case management, real-time transaction monitoring and AI-based risk scoring. The system is designed to help fintechs and banks monitor and investigate financial crime, with high accuracy and a fast onboarding process.

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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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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Forter

Provides real-time decisions for every customer touchpoint, detecting and preventing fraud, optimizing authorization rates, and reducing risk to deliver exceptional customer experiences.

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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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Deduce

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

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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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Sift

Empowers businesses to grow fearlessly while stopping fraud, leveraging scalable AI-fueled decisioning and on-demand expertise for precise, user-level insights.

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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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Abnormal

Analyzes employee and vendor behavior, communications, and processes to stop credential phishing, business email compromise, and account takeover attacks.

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Pindrop

Authenticates customers and stops fraudulent calls with audio, voice, and AI, delivering a personalized and secure contact center experience.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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BrightCloud

Combines machine learning-powered threat detection with risk assessment, providing accurate and timely threat intelligence to protect against malicious URLs, IPs, files, and apps.

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MaxMind

Provides real-time risk scoring, accurate IP geolocation, and proxy detection to personalize user experiences, manage cybersecurity risk, and prevent online fraud.

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RiskRecon

Provides real-time visibility into digital environments, enabling companies to identify and prioritize cyber risks across third-party partners, supply chains, and internal systems.

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Netcraft

Automatically detects and disrupts cyber threats, including phishing, fraud, and scams, with 24/7 monitoring and advanced machine learning algorithms.

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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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Cybereason

Unifies multiple layers of protection, including NGAV, EDR, and MDR, to provide a unified view of malicious operations and automate response to attacks.

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Fullstory

Records hundreds of events and signals to create predictive models, analyze behavior, and replay sessions, enabling personalized digital experiences.

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Axur

Monitors and takes down digital threats across multiple web layers, providing industry-leading takedown workflows and scalable threat intelligence for robust cyber defense.

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Cylance AI

Spots and blocks threats in real-time, predicting and protecting against zero-day attacks with machine learning and AI-driven threat detection.