Frauddi
Frauddi is an anti-fraud platform for businesses, particularly fintechs and payment companies, that produces risk scores and recommendations.
What Frauddi is
Frauddi is an anti-fraud platform for businesses, particularly fintechs and payment companies, that produces risk scores and recommendations. Its detection toolkit combines rules, lists, velocity checks, relationship analysis, anomaly detection, machine learning, and email scores. The Operations Center accepts assessments through CSV or API and provides pattern detection, filters, saved searches, case notes, history, and monitoring. Users can create rules without developers, maintain blocklists and allowlists, and simulate rules against historical data before activating them. Argos reviews rules, lists, and customers, raises alerts, and can quarantine risky items; its actions are explained and traced. An MCP server lets Claude or another compatible assistant query and operate fraud prevention on live data using natural language. Chargebacks and bank outcomes feed Frauddi’s models and rules automatically. Frauddi says it runs on AWS, encrypts data at rest with AES-256 and in transit with TLS 1.3, and uses role-based access controls and audit logs. It processes payment-method hashes and says it does not store card numbers. Pricing is on request; a personalized 30-minute demo and test sandbox are offered without a commitment or credit card requirement.
Good
- Combines rules, machine learning, and anomaly detection.
- Rule simulations can use historical data.
- Argos explains and traces its actions.
- Processes payment hashes without storing card numbers.
- Offers a demo and test sandbox.
Watch out
- Pricing is available only on request.
- Main stated audience is fintechs and payment companies.
Who it suits
Frauddi is aimed mainly at fintechs and payment companies looking for scoring, rules, and case review for online fraud prevention. It may suit teams that want to analyze incoming assessments through CSV or API.
Verdict
Frauddi combines configurable fraud controls with assessment review and automated monitoring. Interested teams can request pricing and use the offered demo and sandbox to assess fit.
The facts
Each one read from Frauddi's own pages, with the date it was checked.
Where it runs
- Argos
- Argos reviews rules, lists and customers, analyzes patterns, raises alerts and can quarantine risky items, with actions explained and traced.checked 9 Oct 2026
What it does
- Automation
- Argos performs automated reviews and continuous pattern analysis, sends alerts, and can quarantine risky rules, lists, or customers; its actions are explained and traced.checked 9 Oct 2026
- Card data
- Frauddi says it processes payment-method hashes and never stores card numbers (PAN).checked 9 Oct 2026
- Demo
- Frauddi offers a personalized 30-minute demo with no commitment or credit card required and access to a test sandbox.checked 9 Oct 2026
- Detection
- The platform combines rules, lists, velocity checks, relationship analysis, anomaly detection, machine learning, and email scores into a priority score.checked 9 Oct 2026
- Detection tools
- Its fraud tools include rules, lists, velocity checks, relationship analysis, anomaly detection, machine learning and email scores.checked 9 Oct 2026
- Encryption and card data
- Frauddi states that it uses AES-256 encryption at rest and TLS 1.3 in transit, and processes payment hashes without storing card numbers (PAN).checked 9 Oct 2026
- Hosting
- Frauddi says its stack runs on AWS with high availability.checked 9 Oct 2026
- Integrations
- The site says chargebacks and bank outcomes feed Frauddi’s models and rules automatically.checked 9 Oct 2026
- MCP
- Frauddi’s MCP server lets Claude or another compatible assistant query and operate fraud prevention on live data using natural language.checked 9 Oct 2026
- Open source
- Dataspot, Frauddi’s anomaly detection engine, is available as an open-source Python library for finding concentration patterns in datasets.checked 9 Oct 2026
- Operations Center
- The Operations Center accepts assessments by CSV or API and provides pattern detection, advanced filters, saved searches, case notes, history and monitoring.checked 9 Oct 2026
- Performance
- Frauddi reports an average production assessment time of approximately 130 ms.checked 9 Oct 2026
- Privacy and security controls
- Its data policy lists role-based access controls and audit logs among its technical and organizational security measures.checked 9 Oct 2026
- Privacy roles
- Frauddi says it acts as a processor for end-consumer data handled for fintech customers and as controller for data it collects directly.checked 9 Oct 2026
- Purpose
- Frauddi is an anti-fraud platform for businesses that provides risk scores and recommendations.checked 9 Oct 2026
- Rule engine
- Users can create rules without developers, manage blocklists and allowlists with millions of records, and simulate rules on historical data before activating them.checked 9 Oct 2026
- Security
- Frauddi states that it runs on AWS, encrypts data at rest with AES-256 and in transit with TLS 1.3, and uses role-based access controls and audit logs.checked 9 Oct 2026
- Support
- The site describes direct support as built in and lists [email protected] as a contact address.checked 9 Oct 2026
- Support and demo
- The site offers a personalized 30-minute demo, no commitment or credit card requirement, and access to a test sandbox; it describes direct support as built in.checked 9 Oct 2026
- What it does
- Frauddi is an anti-fraud platform for businesses that provides risk scores and recommendations, with fintechs and payment companies named as its main audience.checked 9 Oct 2026
- Who it serves
- Frauddi says its business customers are mainly fintechs and payment companies.checked 9 Oct 2026
The company
- Company
- The privacy policy identifies the data controller as Frauddi S.A.S., a Colombian company registered in Bogotá D.C.checked 9 Oct 2026
- Headquarters
- Bogotá D.C., Colombiachecked 28 Sep 2026
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