Fraud.net is purpose-built for fraud, risk, and compliance professionals at mid-market to enterprise organizations operating in payments, financial services, fintech, and commerce. If your business moves money, onboards customers, or processes transactions at scale, this platform was designed for you.
ROLES THAT RELY ON FRAUD.NET MOST:
- Chief Risk Officers (CROs) and VP of Risk -- who need a unified, real-time view of enterprise-wide fraud and risk exposure and the confidence to make consequential decisions quickly.
- Fraud Operations Managers and Analysts -- who investigate cases, tune detection rules, and need tools that keep pace with evolving fraud tactics without requiring constant IT support.
- Compliance Officers and BSA/AML Teams -- responsible for regulatory adherence, sanctions screening, and audit readiness across global markets.
- Analytics and Reporting Teams -- who need rich, configurable visibility into risk program performance through custom dashboards, data exports, and actionable insights surfaced directly from the platform.
- Payments and Fintech Product Leaders -- who need fraud and risk infrastructure that scales with transaction volume without creating friction for legitimate customers.
- CTOs and Engineering Leaders -- evaluating enterprise risk platforms for API-first integration into existing payment stacks and data ecosystems.
INDUSTRIES AND COMPANY TYPES WHERE FRAUD.NET DELIVERS THE MOST VALUE:
- Payment processors and PSPs -- including acquiring banks, ISOs, and sponsor banks -- managing high transaction volumes across multiple merchant and issuing relationships.
- Global and regional banks, credit unions, and neo-banks facing AML compliance requirements alongside rising digital fraud threats.
- Fintech companies -- including BNPL providers, embedded finance platforms, and digital lenders -- that need to scale risk programs as fast as they scale their products.
- E-commerce, travel, and marketplace platforms where account takeover, payment fraud, and chargeback abuse are persistent, costly challenges.
What distinguishes the companies that choose Fraud.net is not just their size -- it's their ambition. They're organizations that have outgrown point solutions and rule-based systems that can't adapt fast enough. They need a single, integrated platform that combines real-time fraud detection, entity risk assessment, compliance automation, and case management -- all in one place, without the overhead of stitching together a dozen vendor relationships.
If your fraud or risk program is being held back by siloed tools, slow decisioning, or a backlog of manual reviews, Fraud.net is built to solve exactly that.
The core promise of Fraud.net is straightforward: detect and prevent fraud and financial risk more accurately, protect more good customers, and operate more efficiently doing it. Whether your focus is transaction fraud, entity risk monitoring, AML compliance, or all of the above, here's what that looks like in practice across the roles and teams that use the platform every day.
FASTER, MORE ACCURATE FRAUD DETECTION
With AI-native detection that processes transactions in real time, your team catches fraud schemes the moment they emerge -- not after the damage is done. The platform covers 600+ distinct fraud types, from account takeover and synthetic identity to first-party fraud and money mule activity.
FEWER FALSE POSITIVES, LESS FRICTION FOR GOOD CUSTOMERS
Overly aggressive fraud rules block legitimate customers and cost revenue. Fraud.net's machine learning models are trained on your specific data and continuously refined, so your decisioning gets smarter over time. The result: higher approval rates for good transactions, lower manual review volume, and a better customer experience.
COMPLIANCE WITH LESS EFFORT
Regulatory requirements don't stand still -- and neither do the consequences of falling behind. Fraud.net automates AML transaction monitoring, entity screening, and sanctions checks, reducing the manual burden on compliance teams while improving audit trails and documentation.
STREAMLINED INVESTIGATIONS
The integrated case management system consolidates data, automates triage, and gives investigators the context they need to act decisively -- reducing investigation time and improving consistency across your team.
REAL-TIME DECISIONING AT SCALE
Whether you're processing thousands or hundreds of millions of transactions, Fraud.net's infrastructure delivers sub-second risk decisions without degrading performance. Your risk program scales with your business -- not against it.
A UNIFIED VIEW OF RISK
Fraud.net brings fraud detection, entity risk, compliance monitoring, and analytics into a single platform with a shared data layer -- so your teams are working from the same intelligence, not fragmented datasets.
STRATEGIC INSIGHT, NOT JUST OPERATIONAL DATA
The platform's advanced analytics capabilities give risk leaders a real-time view of fraud trends, program performance, and emerging threats. You spend less time asking "what happened?" and more time making forward-looking decisions.
OPERATIONAL EFFICIENCY
Automation across rule management, case workflows, data orchestration, and reporting reduces the manual effort required to run a world-class risk program -- freeing your team to focus on higher-value work.
One of the clearest strengths of Fraud.net is that it's built for the full spectrum of users -- from fraud analysts who have never written a line of code to analytics teams who need deep, configurable reporting on program performance. Technical sophistication is an advantage, not a requirement.
FOR NON-TECHNICAL FRAUD AND COMPLIANCE USERS
The platform's no-code rules engine lets analysts create, test, and deploy fraud detection rules using an intuitive visual interface. You don't need engineering support to tune your detection logic, adjust thresholds, or respond to a new fraud pattern. Most day-to-day fraud operations -- case review, rule adjustments, queue management, reporting -- are fully accessible without any technical background.
The case management system is designed to feel familiar to anyone who has used a modern business application. Cases are organized, prioritized, and enriched with contextual data automatically, so investigators work from a single clear interface rather than stitching together information from multiple sources.
Dashboards and advanced analytics are configurable through point-and-click interfaces, making it straightforward for risk managers and compliance officers to build the views they need without relying on a data team.
FOR TECHNICALLY PROFICIENT FRAUD AND ANALYTICS PROFESSIONALS
Risk and analytics teams who want deeper visibility into platform performance will find it. Fraud.net surfaces configurable analytics, custom dashboards, and data export capabilities that allow teams to interrogate outcomes, track KPIs, and build reporting tailored to their program's specific needs -- without requiring a dedicated data engineering function. When a custom machine learning model is appropriate, Fraud.net's own Data Science team builds and deploys it using the client's data, so the expertise stays with the platform.
Fraud.net's intelligent risk decisioning layer supports complex, multi-condition rule logic and real-time scoring that experienced fraud analysts can configure to a high degree of precision.
FOR ENGINEERING AND IT TEAMS
Fraud.net is API-first. Integration into existing payment stacks, core banking systems, or data pipelines is handled through well-documented REST APIs. Developer documentation is comprehensive and dedicated technical resources are provided during implementation. Ongoing platform management does not require deep engineering involvement once the initial integration is complete.
BOTTOM LINE ON TECHNICAL REQUIREMENTS
- Fraud analysts and investigators: minimal technical knowledge required.
- Risk managers and compliance officers: no coding needed. Configuration and reporting are self-service.
- Analytics and reporting users: custom dashboards and data exports are self-service; custom ML models are built and deployed by Fraud.net's Data Science team using your data.
- Engineers: clear, well-documented APIs with structured onboarding support.
The platform is deliberately designed so that fraud and risk teams -- not IT departments -- own and operate their programs day-to-day.
Several things set Fraud.net apart from the broader field of fraud and risk management vendors -- not just in features, but in the fundamental approach to the problem.
AI-NATIVE BY DESIGN, NOT BY RETROFIT
Many platforms in this space were built on rules engines and have added AI as a layer on top. Fraud.net was architected from the ground up with machine learning at the core. AI isn't a feature -- it's the foundation. That distinction matters enormously: models that are native to the platform adapt continuously, share signals across the network, and inform decisioning in real time.
END-TO-END COVERAGE IN A SINGLE PLATFORM
Most organizations rely on multiple vendors: one for transaction monitoring, another for entity screening, a third for case management, perhaps a fourth for compliance. Fraud.net consolidates fraud detection, entity risk, AML compliance, case management, data orchestration, and advanced analytics into one integrated platform. The result is shared intelligence, faster decisioning, and significantly less operational complexity.
UNIFIED AND MODULAR -- ADOPT AT YOUR OWN PACE
While Fraud.net's full platform delivers the most value as an integrated system, it is also designed to be modular. Organizations can adopt individual solutions -- transaction monitoring, entity screening, case management -- and expand over time as their needs evolve. This matters especially for banks and financial institutions that may not be ready or willing to move to a fully unified platform in a single step. Fraud.net meets them where they are, with a clear path to broader adoption.
A GLOBAL ANTI-FRAUD NETWORK THAT COMPOUNDS OVER TIME
The collective intelligence of Fraud.net's Global Anti-Fraud Network -- drawing on signals across industries and geographies -- gives every customer access to threat intelligence that no single organization could generate alone. That network effect gets more powerful as the platform grows.
600+ FRAUD SCHEMES COVERED
The breadth of coverage is exceptional. From synthetic identity and account takeover to sophisticated money laundering schemes, the platform's detection capabilities are built to address the full complexity of modern financial crime.
REAL-TIME DECISIONING AT ENTERPRISE SCALE
Fraud.net delivers sub-second risk decisions at the transaction level, without requiring trade-offs between accuracy and performance.
TRANSPARENT, EXPLAINABLE AI
Regulatory scrutiny of AI-based decisioning is increasing. Fraud.net's intelligent risk decisioning layer is built for transparency: scores are explainable, decisions are auditable, and risk logic can be reviewed and justified.
VALUE-BASED, EXPANSION-FRIENDLY PACKAGING
Fraud.net's platform is built around a tiered model where the next tier is always a natural step, not a renegotiation. Pricing is anchored to the fraud prevention ROI your organization achieves -- not to build costs -- and expansion paths are designed so your risk program grows with your business without requiring a new vendor evaluation each time.
Fraud.net's primary competitors include:
- NICE Actimize
- Featurespace (Visa)
- Feedzai
- Unit21
- Sardine
The most important distinction is architectural. Fraud.net is built as a unified, AI-native platform -- not a collection of acquired point solutions stitched together. That difference shows up in ways that matter every day.
UNIFIED PLATFORM VERSUS POINT SOLUTIONS
Competitors like NICE Actimize and even newer vendors typically require customers to manage multiple modules with separate data layers and separate UIs. Fraud.net delivers fraud detection, entity risk, compliance, case management, analytics, and data orchestration within a single, coherent platform. There's no seam between detection and investigation, no latency between a signal and a case.
AI-NATIVE VERSUS AI-ADDED
In a native AI architecture, model signals inform decisioning in real time, models retrain continuously on live data, and the entire platform benefits from network intelligence. This produces meaningfully better detection rates and lower false positives than bolted-on AI layers.
THE GLOBAL ANTI-FRAUD NETWORK
No competitor offers a comparable cross-industry, cross-geography fraud intelligence network that operates in real time. This is a structural advantage -- Fraud.net customers detect emerging threats faster than organizations relying solely on their own transaction data.
SECTOR-SPECIFIC COMPETITIVE ADVANTAGES
- Versus NICE Actimize at banks and acquirers: Fraud.net competes on alert-to-investigation ratio, SAR narrative quality, and cost of operation -- not on raw detection rate, where Actimize is adequate. The total cost of running Actimize is a consistent friction point that Fraud.net addresses directly.
- Versus internal builds at PSPs and sponsor banks: Fraud.net wins on time-to-value and on cross-sponsee/cross-customer network effects that no internal build can replicate. The effort required to maintain a homegrown stack compounds over time; Fraud.net's value compounds in the opposite direction.
- Versus Unit21 and Sardine in fintech: Fraud.net's platform footprint is broader -- covering not just case management or device intelligence but the full detection-to-compliance lifecycle -- and its data network provides signal breadth that purpose-built fintech tools cannot match.
EXPLAINABILITY AND REGULATORY READINESS
As regulators increase scrutiny of AI-based financial decisioning, Fraud.net's transparent scoring and auditable decision logic provide a compliance advantage over competitors whose models are less interpretable.
ACCESSIBLE TO THE FULL TEAM
Fraud.net's no-code rules engine and self-service dashboards give fraud and compliance teams genuine ownership of their programs without constant IT or vendor involvement -- a meaningful operational difference compared to platforms that require specialist knowledge to configure.
Fraud.net's current platform delivers a comprehensive set of capabilities across fraud detection, entity risk, AML compliance, case management, and analytics. The near and long-term direction continues to focus on deepening AI-native intelligence, expanding automation across the compliance workflow, and extending Data Hub integrations with additional enrichment providers.
For the most current and accurate view of what is available today versus what is planned, Fraud.net publishes product release notes on an ongoing basis at https://www.releasenotes.fraud.net.
Customers and prospects are encouraged to review release notes for the current GA feature set and to engage directly with the Fraud.net product team for roadmap discussions under NDA.
Fraud.net is built with an API-first architecture and a dedicated Data Hub designed to make integration with your existing technology stack as seamless as possible.
CLOUD PLATFORMS
- Amazon Web Services (AWS) -- Fraud.net is available through the AWS Marketplace. AWS customers can procure and deploy through their existing AWS relationship and run Fraud.net within their AWS environment. Premium hosting options include an isolated AWS cluster and client-hosted deployment within a customer-owned AWS account.
PAYMENT AND CORE BANKING INFRASTRUCTURE
- Payment processors and payment gateways
- Core banking systems (including Jack Henry / Symitar integration)
- ACH, wire transfer, and card network data feeds
- Real-time payment rails (RTP, FedNow via partner integrations)
IDENTITY, KYC, AND DATA ENRICHMENT PROVIDERS (VIA DATA HUB)
- Identity verification and KYC platforms
- Sanctions and watchlist data sources (OFAC and global sanctions lists)
- Device intelligence and behavioral biometrics providers
- Background screening and AML data providers (including Vital4)
- IP reputation, adverse media, and OSINT data sources
DATA AND ANALYTICS INFRASTRUCTURE
- Data export to cloud providers including AWS and Azure
- Batch file processing via SFTP and S3 for clients who cannot send data via real-time API
- SFTP-based integrations for legacy and non-standard data formats
AUTHENTICATION AND IDENTITY MANAGEMENT
- SSO via enterprise SAML 2.0 (included at Professional and Enterprise tiers)
- Two-factor authentication (2FA) across all tiers
OPEN API FOR CUSTOM INTEGRATIONS
Fraud.net's REST API is fully documented and designed for enterprise-grade integration, giving engineering teams the flexibility to connect the platform to proprietary systems, internal data pipelines, and any third-party tool that supports standard API connectivity. Full developer documentation is available at https://www.api-docs.fraud.net.
WEBHOOKS
Real-time outbound webhook notifications from Fraud.net to client systems for alerts, rule hits, and scoring events are supported and configured as part of onboarding.
CUSTOM INTEGRATIONS
For clients with specific requirements outside of standard Data Hub connections, custom integrations with core or legacy systems are available as a paid professional services add-on.
The Data Hub is the central integration layer -- it allows teams to bring in external data sources, enrich risk signals, and orchestrate data flows without building bespoke pipelines. New data partner integrations are added on an ongoing basis.
Fraud.net's pricing is designed to grow with your business and deliver measurable ROI at every stage of your relationship with the platform.
Rather than fixed seat-based or feature-locked tiers, pricing is structured to reflect the value your organization derives from the platform -- scaling with transaction volume, the number of solutions adopted, and the complexity of your risk program. As clients expand their use of the platform over time, whether by increasing transaction volume, adding new solutions, or deepening their integration, the commercial model is built to accommodate that growth without requiring a full renegotiation.
The underlying principle is straightforward: pricing should be predictable, defensible, and expansion-friendly. Organizations that start with a single solution can grow into a more comprehensive, unified risk program at their own pace -- and the pricing model supports that journey.
For specific pricing based on your organization's size, transaction volumes, and solution requirements, request a demo at https://www.fraud.net/demo-request. The sales team will provide a tailored commercial proposal.
Fraud.net is an enterprise SaaS platform and does not offer a self-service free trial or downloadable version. The platform's depth -- spanning fraud detection, entity risk, compliance, and case management -- means the most effective evaluation path is a structured, hands-on engagement.
WHAT EVALUATION LOOKS LIKE
Demo: The starting point is a personalized demo with Fraud.net's solutions team. Sessions are tailored to your specific use case, industry, and the fraud or compliance challenges you're prioritizing. Request a demo at https://www.fraud.net/demo-request.
Proof of Value (POV): For customers who want to validate the platform against their own data before committing, Fraud.net offers structured proof-of-concept engagements. A POV is designed to demonstrate measurable outcomes -- detection rates, false positive reduction, operational efficiency improvements -- in your specific context.
Developer / Sandbox access: Engineering teams evaluating the integration architecture can access API documentation and developer resources at https://www.api-docs.fraud.net.
Fraud.net offers a comprehensive range of training and education options, with plans and services tailored to the size and needs of each client.
VIRTUAL INSTRUCTOR-LED TRAINING
Live, guided sessions covering platform configuration, rules and workflows, dashboards, case management, and operational best practices. Training plans are scoped to match each client's implementation and team structure.
ROLE-BASED TRAINING
Training tracks designed for specific roles -- analysts, investigators, compliance teams, and administrators -- so each user receives education that is directly applicable to their day-to-day work.
ON-DEMAND VIDEO TUTORIALS
A library of educational videos covering platform features, workflows, and analytics, available to all users at any time.
DOCUMENTATION LIBRARY
A comprehensive knowledge base covering API guides, rule explanations, configuration documentation, and troubleshooting -- accessible to all users on an ongoing basis.
CUSTOM TRAINING MATERIALS
For clients who need it, Fraud.net produces client-specific documentation including SOPs, workflow guides, and investigation playbooks tailored to the client's environment and use cases.
IN-PERSON TRAINING
Onsite workshops with hands-on exercises for analysts, administrators, and fraud teams. Available on inquiry.
WEBINARS AND THOUGHT LEADERSHIP
Expert-led webinars covering emerging fraud and risk trends, regulatory developments, and platform capabilities. Recordings and resources are available through the Resource Center at https://www.fraud.net/resource-center.
DEVELOPER DOCUMENTATION
Comprehensive API documentation and integration guides at https://www.api-docs.fraud.net.
ONGOING CUSTOMER SUCCESS ENGAGEMENT
Dedicated Customer Success Managers work with clients on an ongoing basis, providing proactive guidance on platform optimization, performance reviews, and strategic support well beyond the initial onboarding period.
Fraud.net's standard implementation is designed to get clients to go-live within 45 days of contract execution. The onboarding process is structured and milestone-driven, taking clients from kickoff through data mapping, system configuration, validation, and go-live in a predictable sequence -- with a dedicated Fraud.net team managing the process throughout.
The depth and scope of each implementation is tailored to the size and complexity of the client's environment. Smaller deployments follow a streamlined path. Larger, more complex organizations -- including those requiring custom ML model development, advanced integrations, or multi-solution rollouts -- follow a more comprehensive onboarding engagement, with timelines and deliverables scoped accordingly. Any work outside the standard scope is handled through a separate Statement of Work.
Throughout the process, a dedicated Customer Success Manager coordinates the engagement, serves as the primary point of contact, and ensures a smooth transition into steady-state operations post-launch.
For a full overview of the onboarding process, visit https://www.fraud.net/onboarding.
Fraud.net offers a range of support packages designed to meet the needs of different clients -- from growing fintechs to large enterprise financial institutions. Clients choose the support model that best fits their team's size, operational requirements, and the criticality of their deployment.
SUPPORT CHANNELS AVAILABLE TO ALL CLIENTS
- Toll-free global support line -- Available 24x7 for urgent operational incidents requiring immediate acknowledgement.
- Online support portal -- Available 24x7 for submitting, tracking, and managing support requests. Visit https://www.support.fraud.net.
- Support email -- Available 24x7 for non-urgent requests and follow-ups.
- Dedicated Customer Success Manager -- Every client is assigned a CSM who serves as their primary relationship owner and proactive partner in their fraud and risk program. CSMs are available during business hours for configuration guidance, performance reviews, and ongoing strategic support.
PLATFORM TRANSPARENCY
- Platform status and service health: https://www.status.fraud.net
- Product release notes and feature updates: https://www.releasenotes.fraud.net
- Security, compliance, and data protection documentation: https://www.fraud.net/trust-center
Support packages include defined response time targets based on issue severity, with critical and high-priority incidents tracked around the clock. For details on available support tiers and what's included at each level, speak with the Fraud.net sales or customer success team.
Yes -- and the distinction between how Fraud.net uses AI and how many platforms describe AI is worth understanding clearly.
AI-NATIVE, NOT AI-ADDED
Fraud.net is an AI-Native platform. Artificial intelligence and machine learning are not features layered onto an older rules-based architecture -- they are the foundation on which the platform is built. Every detection decision, every risk score, every entity assessment is informed by AI that operates continuously, learns in real time, and improves with every data point it processes.
REAL-TIME FRAUD DETECTION
Machine learning models analyze transaction signals in real time -- evaluating hundreds of data points simultaneously -- to identify fraudulent patterns that static rules cannot catch. Models detect behavioral anomalies, velocity patterns, network connections, and emerging fraud tactics as they evolve.
ADAPTIVE MODEL LEARNING
Models retrain continuously on new transaction data and confirmed fraud outcomes, adapting to the specific patterns of your customer base and the tactics targeting your organization. Detection capability improves over time automatically.
CUSTOM MODEL DEVELOPMENT
For clients whose fraud patterns require a more tailored approach, Fraud.net's own Data Science team builds and deploys a fully custom supervised machine learning model using the client's own data. The model is developed, validated, and maintained by Fraud.net -- giving clients the precision of a bespoke model without needing to build or manage it themselves. Custom model development is available at Professional and Enterprise tiers, subject to data volume and labeling requirements.
GLOBAL ANTI-FRAUD NETWORK INTELLIGENCE
AI aggregates and analyzes signals across Fraud.net's Global Anti-Fraud Network -- drawing on cross-industry, cross-geography fraud patterns -- to provide network-level intelligence that individual organizations cannot replicate. When a new fraud pattern emerges anywhere in the network, AI propagates that signal to all participants in real time.
ENTITY RISK ASSESSMENT
AI-powered entity screening and monitoring evaluates customers, counterparties, and related entities against risk signals, behavioral indicators, and external watchlist data -- providing a continuously updated view of entity risk rather than a point-in-time snapshot.
COMPLIANCE AUTOMATION
AI supports AML transaction monitoring by identifying suspicious activity patterns, automating alert triage, and assisting with regulatory documentation -- reducing the manual burden on compliance teams without sacrificing accuracy.
EXPLAINABLE AI
Fraud.net's AI is designed to be transparent. Every score includes explainability factors that allow analysts and compliance officers to understand why a decision was made -- an increasingly important requirement as regulators scrutinize AI-based financial decisioning.
The straightforward answer: AI is not something Fraud.net added -- it's something Fraud.net is built on. That distinction determines the depth, accuracy, and adaptability of every detection decision the platform makes.
FeaturedCustomers has 1,911,840+ validated customer references
including reviews, case studies, success stories, customer stories,
testimonials and customer videos that will help you make better
software purchasing decisions.
