FOCAL Digital Fraud applies AI driven risk scoring to every login, registration, and profile update, giving fraud teams real time control over account layer risk. Combining device intelligence, Behavioral Monitoring, and network signals, it flags and blocks account takeover, social engineering, and fake account creation before any money moves, without adding friction for trusted customers.
Advanced real-time controls that protect logins, registrations, and account activity by intercepting fraudulent behavior before it ever reaches a payment.
Generates a persistent fingerprint for every device from 30+ hardware, software, network, and behavioral signals. It stays stable even after app reinstalls, OS updates, IP changes, or basic factory resets, and resists common spoofing attempts.
Continuously captures how users behave during active sessions and converts this into behavioral risk scores, so subtle deviations from baseline can trigger actions before fraud escalates.
Builds persistent behavioral profiles by linking sessions, devices, and channels for each user or entity, helping recognize returning fraudsters and distinguish trusted users from new or high-risk behaviors even as networks or devices change.
Uses ML models to spot unusual behavioral and session patterns such as sudden geo-changes, unfamiliar interaction styles, or automation-like consistency, learning from new data to detect emerging fraud methods in real time.
Maps connections between devices, accounts, and IPs to uncover coordinated rings and mule networks using shared attributes, outlier scores, and network clustering.
Enables teams to create and refine fraud rules using natural language or guided inputs. It accelerates rule creation, reduces dependence on engineering, and helps analysts turn fraud intent into deployable logic faster.
A comprehensive library of pre-built fraud detection rules built to detect common attack patterns. Teams can easily customize thresholds, conditions, and workflows to match their specific risk appetite and regulatory requirements.
FOCAL Digital Fraud continuously scores logins, registrations, and account events using device and behavioral signals, surfacing account-layer risk in real time, without adding friction for trusted users.
Discover how FOCAL Digital Fraud analyzes device, behavioral, and network signals on every login and account event to block high risk activity instantly, reduce fraud losses, and give investigators clear, explainable context for faster decisions.
