An engine designed to learn fast from fraud, the tools your team needs, and an agentic layer that executes the operation.
Less time, less total cost of fraud.
Fraud is being automated with AI — attackers cloning identities, generating synthetic profiles, and scaling attacks that used to take weeks. Traditional tools weren't designed for this.
Global card fraud losses in 2024
E-commerce fraud projected for 2029 — 141% growth
True cost per $1 of fraud for merchants (chargebacks, fees, operations)
Designed from its conception to give you speed, clarity, and total control over your operation.
We designed Frauddi focused on simplicity of use and the elimination of friction, with direct support built in so anyone on your team can understand what is happening and decide with absolute confidence.
The industry has been fighting fraud the exact same way for years. Our approach is to go back to the fundamentals: we rethink the problem from scratch to build different solutions.
We leverage workflow automation and AI to simplify complex operations, drastically reducing your response times.
Real security demands total visibility. From our open-source contributions (Dataspot) and open standards (MCP), to the traceability of every decision, we built Frauddi to give you absolute control.
We train the engine with adversarial attacks to block complex tactics. When facing new patterns, it extracts learnings from every operation and adapts your defense at the attacker's pace.
Rules, lists, velocities, relationships, anomalies, ML and email scores. Not loose features: they compose into a priority score your team sees solved. You operate, you don't connect dots.
Argos automates your fraud operation: reviews, continuous analysis, smart alerts and quarantines on rules, lists and customers — integrated across every module.
Stop jumping between systems. Every module works together to give you full visibility into fraud across your business.
Assessments, approvals, declines, and chargebacks. Temporal activity, active rules, and list impact — all in one view.
Create complex rules in minutes without developers and manage blocklists and allowlists with millions of records. Simulate on historical data before going live.
CoreAgentic layer that automates your fraud operation: reviews, continuous analysis, alerts and quarantines on rules, lists and customers — built into the entire platform.
AgenticDetect organized fraud rings you can't see by analyzing transactions individually. Automatic groups and risk levels.
Automatically detect patterns and unusual behavior in your data — with zero configuration.
Velocity rules with configurable time windows. Minutes, hours, days — tailored to your business.
Look up any customer and get their full profile: risk score, assessment history, entity connections, and anomaly patterns. All in one view.
Chargebacks and bank outcomes feed your models and rules automatically. Your system learns from every result.
Versioned snapshots of your configuration. Restore any version with a single click.
Every business has different challenges. Here's how Frauddi solves them.
Every chargeback connects to the original transaction, the rule that approved it, and the model score.
You see exactly what failed and the system adjusts with every result — chargebacks drop as a direct consequence.
Automatically connect entities to uncover organized rings that go unnoticed when you analyze transactions one by one.
Find suspicious concentrations and patterns in your data without configuring anything. Built into the platform and ready to use.
Monitor patterns across multiple time windows with peak metrics and custom rules.
Not a chatbot. An AI-powered layer of agents that reviews, analyzes, alerts and isolates what's at risk — integrated across every module and trained in the context of your operation.
Argos works on the inside. With our MCP server, your AI works on the outside: paste the URL into Claude (or any compatible assistant) and it queries and operates your fraud prevention in natural language, on your live data. No SDK, no integration project.
"show me today's suspicious patterns".Frauddi's anomaly engine, available as an open source Python library. Find concentration patterns in any dataset.
# Install Dataspot
pip install dataspot
# Auto-discover patterns
from dataspot import AutoDiscovery
discovery = AutoDiscovery(df)
patterns = discovery.find_patterns()
# View results
for p in patterns:
print(f"{p.severity}: {p.description}")
# → CRITICAL: 100% — 32 records share
# the same device_id, Comision and BINThe goal isn't "to have anti-fraud". It's to bring down the total cost of fraud — and these are the places where Frauddi does it.
Cut the cost of your anti-fraud platform compared to traditional solutions.
Operate with fewer analysts — the engine and the agentic layer handle the repetitive work.
Respond to new patterns in minutes, not weeks.
Reduce chargebacks as a direct consequence of the engine + rules + agentic layer.
Consolidate tools — fewer external dashboards, everything inside Frauddi.
Enterprise-grade infrastructure, encryption, and speed — verifiable, not buzzwords.
The entire stack runs on Amazon Web Services, with high availability.
End-to-end encryption: AES-256 at rest and TLS 1.3 in transit.
We work only with hashes. Zero card data (PAN) in our systems.
Real-time fraud decisions, without slowing down your customers' checkout.
Book a personalized demo and we'll show you how to reduce chargebacks, recover good sales, and lower the total cost of your operation — all from a single platform.
We'll reach out soon to schedule your personalized demo.
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