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Enterprise Layer Intelligence
Categories/Cybersecurity/ForMotiv
ForMotiv

ForMotiv

Founded 2019

Detect insurance fraud and predict intent by analyzing digital user behavior

You can use ForMotiv to analyze how applicants and agents interact with online insurance forms in real time. It monitors digital body language, such as hesitation, typing cadences, and answer corrections, without capturing sensitive personal data. By evaluating these patterns during application submission, the service flags suspicious modifications, stops automated bots, and predicts purchase intent. This helps insurance carriers prevent premium leakage, catch fraudulent claims early, and decide when to offer fast approvals or require additional underwriting checks.

What ForMotiv does

Track keystroke timing and field correction patternsScore applicant purchase intent in real timeFlag suspicious coverage toggling and address editsDetect bot traffic and fraudulent synthetic identitiesLink cross-channel sessions from quote to claimTrigger real-time underwriting verification workflowsBenchmark broker and agent application behaviorCaptures digital body language such as hesitation, corrections, and timingCalculates real-time intent scores during application completionDetects automated bots, fraud rings, and ghost brokers instantlyConnects behavioral history across direct, agent, and call center channelsProvides real-time API access to raw behavioral featuresOperates without capturing or storing personally identifiable information (PII)Integrates via a lightweight JavaScript tag without slowing down pages

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ForMotiv, behavioral intelligence, insurance fraud detection, premium leakage, user intent scoring, digital body language, underwriting risk, behavioral analytics, fraud prevention, bot detection, ghost brokers, insurance analytics