Trained against AI-driven attacks · Agentic layer built-in

The anti-fraud platform
that evolves at the attacker's pace

An engine that learns from the adversary, the tools your team needs, and an agentic layer that automates operations.
Less time, less total cost of fraud.

Frauddi main dashboard — real-time evaluations, approvals/rejections, active rules and list impact

Built by a team with deep experience leading fraud prevention at fintechs and payment companies

Three pillars to reduce the
total time and cost of fraud

01

An engine that evolves with the attacker

While attackers use AI to scale fraud, our engine trains against those same attacks. It learns from the adversary before the fraud reaches your business.

02

Tools that work in combination

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.

03

An agentic layer that automates the operation

Argos automates your fraud operation: reviews, continuous analysis, smart alerts and quarantines on rules, lists and customers — integrated across every module.

Payment fraud is growing faster
than the tools to fight it

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.

$33B

Global card fraud losses in 2024

$107B

E-commerce fraud projected for 2029 — 141% growth

$4.61

True cost per $1 of fraud for merchants (chargebacks, fees, operations)

Everything your team needs, in one place

Stop jumping between systems. Every module works together to give you full visibility into fraud across your business.

📊

Real-Time Dashboard

Assessments, approvals, declines, and chargebacks. Temporal activity, active rules, and list impact — all in one view.

⚙️

Rule Engine & Lists

Create complex rules in minutes without developers and manage blocklists and allowlists with millions of records. Simulate on historical data before going live.

Core

Argos

Agentic layer that automates your fraud operation: reviews, continuous analysis, alerts and quarantines on rules, lists and customers — built into the entire platform.

Agentic
🔗

Relationship Analysis

Detect organized fraud rings you can't see by analyzing transactions individually. Automatic groups and risk levels.

🔍

Concentration & Anomaly Detection

Automatically detect patterns and unusual behavior in your data — with zero configuration.

📈

Velocity Rules

Velocity rules with configurable time windows. Minutes, hours, days — tailored to your business.

👤

Customers

Look up any customer and get their full profile: risk score, assessment history, entity connections, and anomaly patterns. All in one view.

🔄

Integrations

Chargebacks and bank outcomes feed your models and rules automatically. Your system learns from every result.

💾

Change History

Versioned snapshots of your configuration. Restore any version with a single click.

What problem are you facing?

Every business has different challenges. Here's how Frauddi solves them.

I'm losing money to chargebacks and don't know why
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.
I'm rejecting good sales out of fear of fraud
Configure your risk strategy — protective, balanced, or permissive — and simulate any rule on historical data before activating it.

You recover conversion without opening the door to fraud.
I have no real visibility into my fraud operations
Metrics, snapshots for every evaluation, pattern analysis and dashboards — all in Frauddi.

Stop paying for external dashboards and parallel tools to see your operation: consolidate the stack into one platform.
It takes weeks to react to a new fraud pattern
Argos (the agentic layer) spots the pattern, proposes the rule and triggers alerts or quarantines when something deviates.

Reaction time goes from weeks to minutes — you cut the loss before it scales.
My fraud operations don't scale with the business
The engine + the tools + Argos' agentic layer do the repetitive work for your team.

You operate with fewer analysts and fewer platforms: scale the business without scaling the cost of your fraud operation.

I'm losing money to chargebacks and don't know why

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.

Explore the platform

Relationship Analysis

See the fraud networks no one else can

Automatically connect entities to uncover organized rings that go unnoticed when you analyze transactions one by one.

  • Automatic group and network detection
  • Risk levels: Critical, High, Medium, Low
  • Argos built-in for deep analysis
  • Interactive visual exploration
Relationship graphs
Concentration & Anomaly Detection

Discover patterns humans can't see

Find suspicious concentrations and patterns in your data without configuring anything. Built into the platform and ready to use.

  • Auto-discovery of patterns with no setup
  • Field importance with severity levels
  • Interactive visualization and tree exploration
  • Real-time analysis on production data
Anomaly detection with Dataspot
Velocity Rules

Velocity rules that adapt to your business

Monitor patterns across multiple time windows with peak metrics and custom rules.

  • User-configurable time windows
  • Custom rules per time window
  • Real-time peak metrics and status
  • Compatible with the main rule engine
Real-time aggregations

Argos — the agentic layer
that operates for your team

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.

  • Automated reviews across rules, lists and customers
  • Continuous, AI-powered pattern analysis
  • Smart alerts when something deviates from expected patterns
  • Automatic quarantine of risky rules, lists or customers
  • Every action is explained and traced
Argos — Frauddi's agentic anti-fraud layer

Dataspot — our algorithm, your tool

Frauddi's anomaly engine, available as an open source Python library. Find concentration patterns in any dataset.

View on GitHub PyPI Package
# 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 BIN

Less time, less cost.
Five concrete ways.

The 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.

Platform

Cut the cost of your anti-fraud platform compared to traditional solutions.

Staff

Operate with fewer analysts — the engine and the agentic layer handle the repetitive work.

Time

Respond to new patterns in minutes, not weeks.

Chargebacks

Reduce chargebacks as a direct consequence of the engine + rules + agentic layer.

Stack

Consolidate tools — fewer external dashboards, everything inside Frauddi.

Ready to take control
of your fraud operations?

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.

  • Personalized 30-min demo
  • No commitment — no credit card required
  • Access to a test sandbox

Book a free demo