Fintory 360° Behavioral Security

Stopping Fraud
on Both Fronts

Customers & Employees — a unified behavioral security platform for fintechs and digital finance.

Real-time Detection. Automated Response. AI-powered behavioral profiling instead of static rules. One dashboard, one risk score, one decision engine.

Real-time DetectionAutomated ResponseZero Blind Spots
360° Behavioral Security

Stopping Fraud on Both Fronts

A unified behavioral security platform for fintechs and digital finance — customers & employees in one view. Real-time Detection. Automated Response.

External Threats

Customers

Account Takeover (ATO)

Unauthorized access to customer accounts

Transaction Fraud

Fraudulent payment activities

AML & Mule Accounts

Money laundering schemes

Impact: Direct financial loss + reputational damage

Current Gap

Solutions treat customer fraud and insider threats separately.

No single source of truth.

Internal Threats

Employees

Malicious Insiders

Intentional data theft or sabotage

Privileged Access Abuse

Misuse of admin privileges

Human Error

Unintentional security breaches

Impact: Hardest to detect, longest to resolve

One Platform — Full Context

Fintory: A 360° Behavioral Security Platform

Unified Monitoring

Track customers + employees in one place

Behavioral Profiling

AI-powered instead of static rules

Real-time Detection

Instant threat identification

Automated Response

Immediate action on threats

One dashboard. One risk score. One decision engine.

Core Capabilities

Real-time Intelligence & Response

Real-time Behavioral Analysis

Continuous monitoring and analysis of user behavior patterns to detect anomalies instantly

Cross-Entity Correlation

Link employee actions with customer transactions to detect complex fraud patterns

Automated Response Engine

Immediate automated actions based on risk levels — from notify to block

Customer Monitoring

Behavioral Profiling — Baselines for Every Client

AI baselines per customer across transactions, location and device — every deviation becomes a flag.

Transaction Data

  • Transaction amounts
  • Velocity patterns
  • Destination accounts

Location Data

  • IP addresses
  • Geolocation
  • Travel patterns

Device Data

  • Device fingerprints
  • Browser info
  • Session data

Flags & Anomalies

Unusual Transaction

Detects sudden large transactions that deviate from normal behavior

Example Trigger

User normally spends $50–200, suddenly attempts a $5,000 transfer

New Location

Login from new or unusual geographic locations

Example Trigger

Login from Nigeria when user typically accesses from USA

New Device

Access from previously unseen device fingerprint

Example Trigger

New mobile device accessing account after years of desktop use

Rapid Actions

Rapid password changes followed by withdrawal attempts

Example Trigger

Password reset + immediate large withdrawal within 5 minutes

Dormant Account

Sudden activity on long-dormant accounts

Example Trigger

Account inactive for 6 months, suddenly multiple transactions

AML Pattern

Anti-money laundering pattern detection

Example Trigger

Multiple small deposits followed by immediate large withdrawal

Automated Response Actions

Notify & Log
Low Risk

Monitor behavior, flag for review

Verify Identity
Medium Risk

Request 2FA / biometric confirmation

Block Immediately
High Risk

Freeze account, alert SOC team

Employee Monitoring

Insider Threat Detection — Deviations from Role-Based Behavior

Behavior of every employee, contractor and admin — baselined to their role. Anomalies surface instantly.

Access Logs

  • CRM / Admin panel access
  • System login times
  • Permission usage

Database Activity

  • SQL queries executed
  • Data exports
  • Record modifications

Network Activity

  • VPN connections
  • File transfers
  • Remote access

Flags & Anomalies

Unusual Hours Access

Accessing systems at unusual hours outside normal work schedule

Example Trigger

Support agent accessing CRM at 3 AM on weekend

Data Export

Exporting large volumes of sensitive customer data

Example Trigger

Junior employee exports 10,000 customer records

Manual Override

Manually approving transactions that were auto-rejected

Example Trigger

Employee overrides fraud detection system multiple times

Unauthorized Access

Accessing systems or data beyond assigned permissions

Example Trigger

Support rep accessing financial admin panel

VPN Anomaly

Unusual VPN connection patterns or locations

Example Trigger

Employee VPN login from foreign country during work hours

Privileged Abuse

Admin accessing or modifying records without business justification

Example Trigger

Admin checking their own account or family member accounts

Automated Response Actions

Notify Manager
Low Risk

Log event and alert direct supervisor

Secondary Approval
Medium Risk

Require manager authorization to proceed

Escalate to Security
High Risk

Immediate SOC alert + investigation

Why Internal Threat Detection Matters

277 days

average to detect insider threats — vs 24h for external

Insider breaches take the longest to identify

$15.4M

average cost per insider-threat incident

Higher financial impact than external fraud

Greater Damage

legitimate access makes detection harder

Privileged access = greater damage potential

Industries We Support

Built for Modern Finance

Fintechs & Neobanks
Digital Wallets
Payment Service Providers
E-commerce Marketplaces
HR & Corporate Benefits
Loyalty & Membership Clubs
Lending & Financing
FX & Global Exchange

One platform. Two threat fronts. Zero blind spots.

Schedule a demo to see Fintory Behavioral Security in action — behavioral security built for the fintech stack.

One platform. Two threat fronts. Zero blind spots.

Schedule a demo to see Fintory Behavioral Security in action — built for the modern fintech stack.

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