Overview

Mosaic Fraud Detection and Response (Mosaic for Fraud Prevention) from Transmit Security is an AI-driven, enterprise-grade fraud prevention service that fuses identity, behavioral, device, and network intelligence to detect and stop account takeover, bot attacks, new-account fraud, scams, and passkey hijacking. The platform emphasizes high accuracy, low customer friction, fast investigations, centralized orchestration, and easy integrations so organizations can reduce fraud losses and operational complexity while preserving user experience.

Features and Capabilities

• Detection models: Behavioral biometrics, device fingerprinting, network intelligence, global fraud telemetry, and account-change signals combine to generate high-confidence risk scores in real time, improving detection accuracy and reducing false positives.
• Bot & automation defense: AI-powered behavior analysis and device signals distinguish human users from scripts, headless browsers, or human-imitating bots to block automated attacks early.
• Account takeover prevention: Continuous anomaly detection across sessions and transactions identifies credential stuffing, anomalous device or geolocation patterns, and suspicious session behavior to stop unauthorized access.
• New account fraud mitigation: Real-time checks, including identity verification signals and device reputation, prevent fraudulent account creation and mule account networks before they enter the ecosystem.
• Scams & social engineering protection: Detects abnormal user flows and transaction anomalies, surfaces scam indicators to users and support teams, and automates escalation for suspected social-engineering attacks.
• Passkey & credential binding: Validates integrity of passwordless methods (passkeys) and defends against passkey takeover through contextual, dynamic risk checks at authorization time.
• Fraud orchestration & case management: Centralized workflows, a no-code/low-code rules engine, and unified dashboards let teams orchestrate detection, challenge, investigation, and response flows while reducing analyst workload.
• Global intelligence & integrations: Leverages global threat feeds and intelligence, integrates with identity, authentication, and verification services, and supports deployment across multiple channels and clouds.
• Edge and scale considerations: Designed to run detection earlier in the customer journey, including edge deployments, improving stop-sooner outcomes and lowering backend impact.
• Operational outcomes: Demonstrates significant reductions in bots, lower false positives, and high device fingerprinting accuracy, enabling smoother experiences for legitimate users.