Datavisor.com
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DataVisor is an advanced AI-powered fraud and risk management platform designed to protect businesses from sophisticated financial crimes and abuse. It leverages a unique blend of unsupervised machine learning and patented graph technology to detect evolving fraud patterns, hidden fraud rings, and anomalous behaviors in real-time. This comprehensive solution goes beyond traditional rule-based systems to offer proactive defense against account fraud, payment fraud, money laundering, and various forms of online abuse, making it indispensable for enterprises facing high volumes of digital transactions and interactions.
What It Does
DataVisor identifies and prevents fraud by analyzing vast datasets for unusual patterns and connections that indicate malicious activity. Its unsupervised machine learning models automatically adapt to new fraud schemes without requiring prior labeled data, while its patented graph technology maps relationships between entities like users, devices, and transactions. This allows for the real-time detection of complex fraud rings and provides a holistic view of risk across an organization's ecosystem.
Pricing
Pricing Plans
Customized enterprise-grade fraud and risk management solution tailored to the specific needs and scale of large organizations.
- Unsupervised Machine Learning
- Patented Graph Technology
- Real-time Decisioning Engine
- Automated Feature Engineering
- Configurable Rules Engine
- +3 more
Core Value Propositions
Detect Unknown Fraud Patterns
Unsupervised ML identifies novel fraud schemes without prior training data, offering proactive defense against emerging threats that traditional systems miss.
Uncover Hidden Fraud Rings
Patented graph technology reveals complex connections and coordinated attacks, exposing entire fraud networks rather than just individual fraudulent accounts.
Real-time, Adaptive Protection
Provides immediate risk assessments and adapts to new threats on the fly, ensuring continuous protection and minimizing fraud losses as schemes evolve.
Improve Operational Efficiency
Automates feature engineering and streamlines investigations with integrated case management, allowing fraud teams to focus on high-impact tasks.
Enhance Customer Trust & Safety
By preventing fraud and abuse, the platform helps businesses maintain a secure environment, fostering user trust and protecting brand reputation.
Use Cases
New Account Fraud Prevention
Detects fraudulent account registrations and synthetic identities at the onboarding stage, preventing future losses and protecting legitimate users.
Account Takeover (ATO) Protection
Identifies suspicious login attempts and account activities in real-time, blocking unauthorized access and preventing financial losses for customers.
Payment Fraud Detection
Analyzes transaction data to identify fraudulent payments (e.g., card-not-present fraud, friendly fraud) and prevent chargebacks and financial losses.
Anti-Money Laundering (AML)
Screens transactions and user behavior to detect patterns indicative of money laundering and terrorist financing, aiding compliance efforts.
Trust & Safety Enforcement
Combats online abuse, spam, fake reviews, and policy violations on social media, gaming, and e-commerce platforms to maintain platform integrity.
Merchant Risk Assessment
Evaluates the risk profile of new and existing merchants to prevent high-risk entities from onboarding or engaging in fraudulent activities.
Technical Features & Integration
Unsupervised Machine Learning
Automatically detects new and evolving fraud patterns without relying on historical labeled data, enabling proactive defense against emerging threats.
Patented Graph Technology
Maps relationships between entities (users, devices, transactions) to uncover hidden fraud rings and sophisticated criminal networks in real-time.
Real-time Decisioning Engine
Provides low-latency risk scores and decisions for every transaction or event, allowing businesses to block fraud instantly and improve user experience.
Automated Feature Engineering
Generates thousands of relevant risk features from raw data, enhancing the accuracy and effectiveness of fraud detection models without manual effort.
Configurable Rules Engine
Empowers fraud teams to create, test, and deploy custom rules to complement AI detection, providing granular control over risk policies.
Integrated Case Management
Streamlines fraud investigations with a centralized platform for alerts, evidence review, and collaborative decision-making, improving operational efficiency.
Global Intelligence Network
Leverages aggregated insights from a broad customer base to enhance detection capabilities and provide a wider view of global fraud trends.
Identity Resolution
Connects fragmented user identities across various data sources to build a comprehensive profile, aiding in accurate fraud detection and prevention.
Target Audience
This tool is primarily for large enterprises and fast-growing digital businesses across industries like financial services (banking, fintech), e-commerce, gaming, social media, and telecommunications. It targets fraud prevention teams, risk management departments, compliance officers, and security professionals who need to combat sophisticated and evolving financial crime and online abuse.
Frequently Asked Questions
Datavisor.com is a paid tool. Available plans include: Enterprise Solution.
DataVisor identifies and prevents fraud by analyzing vast datasets for unusual patterns and connections that indicate malicious activity. Its unsupervised machine learning models automatically adapt to new fraud schemes without requiring prior labeled data, while its patented graph technology maps relationships between entities like users, devices, and transactions. This allows for the real-time detection of complex fraud rings and provides a holistic view of risk across an organization's ecosystem.
Key features of Datavisor.com include: Unsupervised Machine Learning: Automatically detects new and evolving fraud patterns without relying on historical labeled data, enabling proactive defense against emerging threats.. Patented Graph Technology: Maps relationships between entities (users, devices, transactions) to uncover hidden fraud rings and sophisticated criminal networks in real-time.. Real-time Decisioning Engine: Provides low-latency risk scores and decisions for every transaction or event, allowing businesses to block fraud instantly and improve user experience.. Automated Feature Engineering: Generates thousands of relevant risk features from raw data, enhancing the accuracy and effectiveness of fraud detection models without manual effort.. Configurable Rules Engine: Empowers fraud teams to create, test, and deploy custom rules to complement AI detection, providing granular control over risk policies.. Integrated Case Management: Streamlines fraud investigations with a centralized platform for alerts, evidence review, and collaborative decision-making, improving operational efficiency.. Global Intelligence Network: Leverages aggregated insights from a broad customer base to enhance detection capabilities and provide a wider view of global fraud trends.. Identity Resolution: Connects fragmented user identities across various data sources to build a comprehensive profile, aiding in accurate fraud detection and prevention..
Datavisor.com is best suited for This tool is primarily for large enterprises and fast-growing digital businesses across industries like financial services (banking, fintech), e-commerce, gaming, social media, and telecommunications. It targets fraud prevention teams, risk management departments, compliance officers, and security professionals who need to combat sophisticated and evolving financial crime and online abuse..
Unsupervised ML identifies novel fraud schemes without prior training data, offering proactive defense against emerging threats that traditional systems miss.
Patented graph technology reveals complex connections and coordinated attacks, exposing entire fraud networks rather than just individual fraudulent accounts.
Provides immediate risk assessments and adapts to new threats on the fly, ensuring continuous protection and minimizing fraud losses as schemes evolve.
Automates feature engineering and streamlines investigations with integrated case management, allowing fraud teams to focus on high-impact tasks.
By preventing fraud and abuse, the platform helps businesses maintain a secure environment, fostering user trust and protecting brand reputation.
Detects fraudulent account registrations and synthetic identities at the onboarding stage, preventing future losses and protecting legitimate users.
Identifies suspicious login attempts and account activities in real-time, blocking unauthorized access and preventing financial losses for customers.
Analyzes transaction data to identify fraudulent payments (e.g., card-not-present fraud, friendly fraud) and prevent chargebacks and financial losses.
Screens transactions and user behavior to detect patterns indicative of money laundering and terrorist financing, aiding compliance efforts.
Combats online abuse, spam, fake reviews, and policy violations on social media, gaming, and e-commerce platforms to maintain platform integrity.
Evaluates the risk profile of new and existing merchants to prevent high-risk entities from onboarding or engaging in fraudulent activities.
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