INTERNAL FRAUD

Unified Insider Risk Detection Across Access & Behavior

FOCAL Internal Fraud is a behavior and access driven insider risk layer that continuously monitors employee, contractor, and agent activity across internal systems. It flags anomalous transactions, unusual behavior, and policy violations, surfacing insider risk before it becomes institutional loss.

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Features

Purpose-Built Controls for Insider Risk

Advanced real-time controls that monitor employee, contractor, agent, and internal-system activity by intercepting suspicious behavior and access before it results in loss.

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Persistent Universal ID

Generates a persistent fingerprint for every employee device and login from 30+ hardware, software, network, and behavioral signals, tying internal access to a verified identity across systems.

Real‑Time Behavioral Risk Assessment

Continuously captures how employees, contractors and agents behave during active sessions and converts this into behavioral risk scores, so deviations from normal working patterns trigger action before harm is done.

Anomaly Pattern Detection

Leverages machine learning to spot unusual access, transaction, and system-usage behaviors, continuously learning over time to detect and prevent emerging insider fraud patterns.

Fraud Network Detection

Maps connections between employees, accounts, devices, and internal systems to uncover coordinated collusion and internal fraud rings using shared attributes and network clustering.

AI Rule Builder

Enables compliance and fraud teams to create and refine internal-fraud rules using natural language or guided inputs, accelerating rule creation without engineering dependency.

Case Workflow Management

Provides a centralized dashboard with automated prioritization, 360° employee and entity views, and compliance-ready reporting for streamlined internal investigations.

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Benefits

Change the Way You Manage Insider Risk

FOCAL Internal Fraud continuously analyzes employee behavior, access, and internal transactions, turning periodic audits into real-time, explainable decisions that catch insider threats early.

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Reduced internal fraud losses1
Catches suspicious employee, contractor and agent activity early, before policy violations or unauthorized transactions escalate into material losses.
Higher decision accuracy
Builds clear behavioral and access baselines for employees, contractors and agents, reducing false positives, so investigators focus on genuine insider risk.
Proactive fraud detection
Uses ML-driven anomaly detection to surface new patterns of access misuse and internal fraud that policy-based controls alone miss.
Visibility into hidden collusion
Links employees, accounts, devices, and systems to reveal coordinated insider schemes and collusion that isolated reviews would miss.
Stronger governance and compliance
Continuously monitors internal activity against policy and access controls, helping meet internal-audit and regulatory expectations.
Faster investigations and audits
Centralizes alerts, access logs, and case evidence in one workspace, enabling quicker resolution and audit-ready reporting.
USE CASES

How can MOZN Help Your Organization

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Suspicious Employee Behavior
Detect employees, contractors or agents whose actions deviate from established behavioral baselines, flagging unusual working hours, access patterns, or activity that may indicate misuse.
Unusual Access Pattern
Identify access to systems, accounts, or data outside of normal scope, timing, or volume, surfacing potential unauthorized access before it leads to harm.
Anomalous Internal Transactions
Flag internal transactions, transfers, or approvals that fall outside expected patterns for a role or department, helping catch fraud before funds or assets are misused.
Privileged Account Misuse
Monitor high-privilege accounts — admin, finance, operations, for activity inconsistent with role or policy, reducing risk from elevated access being exploited.
Policy Violation Detection
Continuously check internal activity against configured business and compliance policies, flagging violations in real time for review.
Insider Collusion Detection
Use graph and network analysis to uncover coordinated activity between employees, contractors, agents, or accounts that may indicate collusion or organized internal fraud.
Related Products

Discover our complementary products to FOCAL Internal Fraud

Digital Fraud
FOCAL Digital Fraud applies real-time risk scoring to every login, registration, and non-financial event, combining device intelligence, behavioral monitoring, and network signals to flag and block account takeover, social engineering, and fake-account creation before any money moves.
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Transaction Fraud
FOCAL Transaction Fraud applies AI driven risk scoring to every payment, transfer, wallet movement, and card authorization, catching fraudulent transactions in real time before funds move.
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Application Fraud
FOCAL Application Fraud is a real-time fraud protection layer that scores every registration and onboarding application using device, network, and behavioral signals, flagging manipulated applications and coordinated fraud rings while keeping onboarding fast for genuine applicants.
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Customer Risk Scoring
FOCAL Customer Risk Scoring delivers real-time, configurable risk scoring that aggregates financial and non-financial signals into a single, continuously updated customer fraud risk score, aligning limits, step-up authentication, and reviews with each customer's changing risk profile.
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Stay Ahead of Insider Threats with Real-Time Intelligence

Discover how FOCAL Internal Fraud analyzes employee behavior, access patterns, and internal transactions to catch insider threats and policy violations instantly, reduce internal fraud losses, and give investigators clear, explainable context for faster decisions.

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