Published capability signals
Terms used in the directory profiles to describe the category's documented focus.
- Device Intelligence
- Behavioral Biometrics
- AML
- Real-time
- Mobile SDK
- ML Platform
- Account Takeover
- Payment Fraud
Fraud platforms bring multiple fraud signals, decisioning workflows, and operational controls together for digital risk management.
How the risk develops
Large-scale digital fraud is usually a sequence across customer journeys rather than one suspicious event, which lets attackers test controls before they attempt a high-value action.
Attackers identify a valuable weakness in registration, login, account recovery, checkout, payments, promotions, or another customer-facing flow.
They vary identity details, devices, contact points, payment instruments, timing, and transaction values to learn which combinations receive the least friction.
Credential theft, social engineering, automation, synthetic identity, mule accounts, and compromised payment methods may be combined in one operation.
Funds, goods, rewards, account access, or sensitive data are taken before fraud, identity, device, and transaction systems share enough context to stop the sequence.
How the directory is structured
These areas are derived from fields published in the current RiskLex vendor catalog. They are not scores or recommendations.
Terms used in the directory profiles to describe the category's documented focus.
Ways listed providers make their capabilities available to customers.
Connection patterns named in the public vendor profiles.
Certifications and support options published across the directory entries.
Public vendor profiles
Fraud Platform
Unified Fraud & Compliance Platform
Sardine is a unified fraud and compliance platform built by former Coinbase, Brex, and Plaid executives. It combines device intelligence, behavioral biometrics, and AML compliance in a single SDK. Sardine's deep mobile device fingerprinting captures hundreds of device and behavioral signals, enabling real-time risk scoring for onboarding, payments, and account activity.
Fraud Platform
ML-Powered Digital Trust & Safety Platform
Sift is a global leader in digital trust and safety, powered by a real-time machine learning platform processing over 1 trillion events annually across a global network of 34,000+ sites and apps. Sift protects against account takeover, payment fraud, content abuse, and account abuse through a unified platform that fuses device signals, behavioral analytics, and consortium network data.
Fraud Platform
AI-Driven Fraud Prevention with Equifax Intelligence
Kount (now part of Equifax) provides AI-driven fraud prevention powered by a global network of 32 billion annual interactions. Their Omniscore risk model fuses device fingerprinting, identity signals, and transaction behavior with Equifax's identity and credit data to produce comprehensive fraud risk scores.
Fraud Platform
Digital Footprint & Device Fraud Prevention
SEON provides fraud prevention by enriching user data with digital footprint signals — analyzing email addresses, phone numbers, IP addresses, and device fingerprints against 50+ social media and online platforms. Their real-time API checks whether an email or phone number has associated social profiles, helping identify fake or synthetic identities without requiring document verification.
Fraud Platform
E-commerce Chargeback Guarantee Platform
Riskified provides e-commerce fraud protection with a chargeback guarantee model — they approve or decline orders and guarantee any approved order against fraud chargebacks. Their machine learning platform processes behavioral data, device signals, and network signals across 50+ billion data points to make sub-second decisions.
Fraud Platform
Commerce Protection with Guaranteed Fraud Coverage
Signifyd provides guaranteed fraud protection and abuse prevention for e-commerce, combining machine learning, a global buyer network of 500M+ shoppers, and financial liability protection. Their Commerce Protection Platform covers fraud, policy abuse, account takeover, and return fraud.
Fraud Platform
ML Fraud Prevention Built into Stripe
Stripe Radar is Stripe's built-in machine learning fraud detection system, automatically available to all Stripe users. It analyzes signals across Stripe's network of millions of businesses, applying ML models that improve with every new transaction. Radar includes custom rules, review queues, and 3D Secure orchestration — all configurable directly in the Stripe Dashboard.
Fraud Platform
Graph-Powered Fraud Detection for Digital Commerce
Ravelin provides fraud detection and prevention using machine learning and graph-based analysis to connect events, entities, and relationships across your platform data. Their approach clusters fraudsters by identifying connected behaviors across accounts, devices, and payment methods — effective for spotting organized fraud rings and multi-accounting abuse.
Fraud Platform
Unsupervised ML for Emerging Fraud Patterns
DataVisor uses unsupervised machine learning to detect emerging and unknown fraud patterns without relying on labeled training data. Their correlation engine clusters malicious accounts and behaviors in real-time by finding patterns that supervised ML models miss — especially effective for catching organized attack groups before they cause significant losses.
Fraud Platform
Account Security & ATO Prevention
Castle provides account security and account takeover prevention through real-time user and device monitoring. Their SDK tracks login events, account changes, and behavioral signals to score session risk — enabling fraud teams to challenge or block suspicious activity with minimal friction to legitimate users.
Fraud Platform
End-to-End Fraud Prevention by American Express
Accertify (American Express subsidiary) provides enterprise-grade fraud prevention and chargeback management, with deep expertise in complex enterprise environments. Their platform combines device fingerprinting, behavior analytics, consortium network intelligence, and advanced case management tools for large-scale fraud operations teams.
Fraud Platform
Fraud Protection with Human Review Guarantee
ClearSale combines AI fraud detection with a 2,000-person human review team to deliver industry-low false positive rates. When automated decisioning is uncertain, expert analysts review orders within hours — providing guaranteed chargeback protection with the lowest rate of mistakenly declined orders in the industry. ClearSale specializes in high-value e-commerce and cross-border transactions.
Fraud Platform
Chargeback Management & Prevention
Chargebacks911 is a specialist in chargeback management and prevention, helping merchants win chargeback disputes, reduce fraud rates, and optimize representment success rates. Their platform provides analytics, automated dispute responses, and managed representment services, with specialized expertise in the card network chargeback arbitration process.
Fraud Platform
AI Fraud & AML with Embedded Expert Teams
Fortify is an AI-powered fraud and AML platform that uniquely combines technology with embedded expert teams. Rather than just providing software, Fortify includes certified fraud examiners and AML specialists who work alongside your team — reviewing alerts, optimizing detection rules, and filing SARs. This managed service model is suited for banks and credit unions without dedicated in-house fraud or compliance expertise.
Fraud Platform
Credit Bureau-Powered Fraud Detection
Experian Hunter is a consortium-based fraud detection network used by financial services companies to identify fraud at the application stage. By cross-referencing application data against a shared database of known fraudulent applications submitted across 1,400+ contributing organizations, Hunter detects identity fraud, synthetic identities, and application inconsistencies that would otherwise go undetected.
Fraud Platform
Profiler-Based Fraud Prevention & User Intelligence
Nethone (acquired by Mangopay) provides fraud prevention through deep user profiling — capturing 5,000+ data points per device session including browser attributes, hardware signals, network data, and behavioral patterns. Their Profiler technology creates a unique user fingerprint that detects bots, emulators, proxies, and fraudulent devices with high accuracy.
Fraud Platform
AI-Powered Fraud Prevention Platform
Fraud.net provides a cloud-based fraud prevention platform that combines machine learning, real-time analytics, and rule-based decisioning to detect and prevent fraud across customer journeys. Their Collective Intelligence Network aggregates threat data across customers for consortium-based fraud prevention.
Fraud Platform
Identity Activity Network for Real-time Fraud Prevention
Deduce operates an Identity Activity Network that aggregates identity signals from 150,000+ websites to provide real-time, cross-site fraud detection. When a user creates an account or makes a purchase, Deduce checks their email address against its network history — identifying anomalies like first-time appearances or rapid multi-site registration patterns that indicate synthetic or fraudulent accounts.
Fraud Platform
Industry-Leading AI Fraud Decisioning for Financial Services
FICO Falcon is the world's most widely deployed card fraud detection platform, protecting more than 2.6 billion payment accounts globally — roughly one-third of all card accounts in existence. Launched in the early 1990s and continuously refined over three decades, Falcon uses neural networks and machine learning to score every card transaction in real time, flagging anomalous behaviour based on each cardholder's unique spending profile. The platform is the backbone of fraud operations at the majority of the world's major card issuers. Beyond card fraud, FICO's broader suite covers application fraud, identity verification, first-party fraud, and case management. FICO's Scores and Explainability capabilities are particularly important in regulated markets where decision reasons are legally required.
Fraud Platform
Intelligence-Driven Fraud Prevention Across the Customer Journey
Callsign is a digital identity and intelligence-driven fraud prevention platform, acquired by TransUnion in 2022. Callsign's technology fuses behavioral biometrics, device intelligence, contextual data, and AI-powered decision-making into a unified real-time signal — enabling financial institutions to identify fraudsters while maintaining a seamless experience for genuine customers. The platform evaluates signals across the full customer journey: login, payment initiation, account changes, and call centre interactions. Callsign's Orchestration Layer combines hundreds of signals into a single, explainable confidence score — reducing friction for legitimate users and increasing friction for fraudsters. Its strength in Authorised Push Payment (APP) fraud prevention makes it particularly relevant for UK and European banks navigating mandatory reimbursement rules.
Fraud Platform
AI-Powered Financial Crime Prevention for Banks and Fintechs
Lynx Tech is a Spanish AI-powered financial crime prevention platform delivering fraud detection, AML transaction monitoring, and identity risk scoring for banks, payment processors, and fintechs. The company's graph-based AI models analyse transaction patterns, relationship networks, and behavioural signals across millions of accounts to surface fraud and money laundering schemes that traditional rule-based systems miss. Lynx Tech's platform is deeply integrated into several of Spain and Latin America's largest banking institutions, where it handles billions of transactions annually with low false positive rates. The platform covers card fraud, online banking fraud, APP fraud, first-party fraud, and AML monitoring — offering a rare combination of breadth and depth in a single vendor. Lynx Tech's Spanish and Latin American market expertise makes it particularly compelling for institutions operating across Iberian and LATAM financial markets.
Fraud Platform
Voice Fraud Detection and Deepfake Defense
Pindrop provides voice security for contact centers, with solutions for fraud detection, caller authentication, voice analysis, and deepfake detection. Pindrop Protect produces a risk score across IVR and agent stages, while Pindrop Pulse identifies AI-generated voice artifacts and Pindrop Passport supports passive caller authentication using voice, device, and behavioral signals.
Fraud Platform
Synthetic Identity and Identity Theft Risk Intelligence
SentiLink provides fraud and identity solutions for financial institutions, including real-time synthetic fraud scores and identity theft scores. Its products help teams identify synthetic identities, traditional identity theft, and difficult onboarding edge cases with risk intelligence that can support verification, review, and fraud prevention workflows.
Fraud Platform
AI-Native Risk Decisioning for Fraud, Credit, and Compliance
Oscilar provides an AI-native risk decisioning platform that unifies fraud, credit, and compliance decisions across onboarding, account opening, transactions, first-party fraud, scams, and AML workflows. Its platform combines configurable policy decisioning with AI agents and explainable real-time decisions so risk teams can deploy and adjust controls across the customer journey.
Evaluation guide
Use the public directory as a starting point, then verify current facts, fit, and obligations with each provider and your internal stakeholders.
List the journeys, risk events, signals, decisions, and manual interventions the platform must coordinate.
Understand which capabilities are native, which depend on partners, and how custom rules or models are managed.
Evaluate feedback loops, case workflows, explainability, latency, and the controls available to operations teams.
Validate integration ownership, migration effort, resilience, change management, and the path to measurable control outcomes.
Open Vendor Scan when you are ready to work through your institution context, control needs, payment rails, and existing stack. This public page does not expose personalized outputs.
RiskLex maintains this category page as independent research. Public vendor facts and capabilities may change; verify current details with the provider before making a procurement decision.
RiskLex vendor directory