Overview
Signal™ is an advanced fraud detection and claim validation platform framework designed to support class action, mass tort, and large-scale claims administration.
As fraudulent activity has evolved to include AI-driven automation and synthetic claim submissions, it has become increasingly difficult to detect through traditional validation methods alone. Signal™ addresses this shift by identifying the underlying patterns and signals that distinguish legitimate claims from coordinated fraudulent activity.
Built on a foundation of machine learning, behavioral analytics, and cross-matter intelligence, Signal™ is able to detect, score, and manage fraud with precision—while preserving access for legitimate claimants.
The
Challenge
Settlement Programs Today Face:
Rapid growth in automated and bot-driven claim submissions Increasing use of synthetic identities and mixed data sets Coordinated campaigns designed to exploit settlement structures Pressure to balance high claim participation with fraud mitigation
Unchecked Fraud Can:
Dilute recoveries for legitimate class members
Increase administrative complexity and cost
Undermine the integrity of the settlement process
Our
Approach
Signal™ is built on a simple principle:
Fraud is not random.
It leaves a signal.
Rather than relying on static rules or blanket exclusions, Signal™ uses a multi-layered analytical framework to detect patterns, assign risk, and isolate fraudulent activity with precision.
CORE CAPABILITIES
Pattern and Anomaly Detection
Identifies unusual submission patterns and outliers
Detects high-volume clusters and coordinated submission behavior
Supports tuning of thresholds and rules based on emerging activity
Behavioral Analytics Engine
Analyzes interaction patterns during claim submission
Detects non-human behavior, automation, and scripted activity
Differentiates legitimate users from synthetic actors
Digital Fingerprinting & Identity Signals
Device and session fingerprinting
Evaluates network and geography indicators for consistency
Email and domain risk profiling
Cross-Matter Intelligence
Identifies repeat actors and recurring fraud signatures
Leverages historical data across cases
Enhances detection through aggregated intelligence
Dynamic Claim Scoring
Assigns a risk score to every claim
Multi-factor evaluation using adaptive models
Enables automated filtering and prioritized review
Real-Time Detection & Response
Flags suspicious claims at submission
Supports configurable workflows:
​Accept
Flag for review
Request additional validation
Exclude based on defined thresholds
Human + Machine Review Framework
Combines automated detection with expert oversight
Supports defensible, audit-ready decision making
Designed for legal scrutiny and court transparency
KEY ADVANTAGES
Precision Without Friction
Signal™ minimizes disruption to legitimate claimants by avoiding overbroad exclusions and focusing on data-driven identification of fraud.
Protection of Settlement Integrity
Ensures that funds are directed to valid claimants, preserving fairness and compliance.
Court-Ready Defensibility
Transparent methodology
Documented scoring and validation processes
Suitable for:
Court filings
Expert reports
Final approval proceedings
Adaptive Intelligence
AI-generated identities
Bot-driven submission campaigns
Emerging fraud tactics
Continuously evolves to address:
Seamless Integration
Integrates with existing claims administration systems
Compatible with digital intake, payment platforms, and reporting tools
Deployable as a standalone or embedded solution
REPORTING AND TRANSPARENCY
Signal™ provides real-time visibility
into fraud detection activity:
Claim volume and risk distribution dashboards
Pattern and trend analysis
Claim-level audit trails
Exportable reporting for legal and compliance use
USE CASES
Class Action Settlements
Mass Tort & MDL Administration
Consumer Refund Programs
Regulatory Restitution Programs
High-Volume Claims Intake Environments
Results-Oriented Design
Modern fraud requires a multi-layered approach combining technology and expertise.
Signal™ is designed to:
About Neural Core Data
Neural Core Data is the analytics and intelligence division behind Signal™. It develops advanced fraud detection, risk scoring, and pattern recognition technologies designed for large-scale claims administration and settlement programs.