Confidence Indicator technology measures how trustworthy a response is by reading behavioral and cognitive signals — carefully designed questions can trigger a genuine emotional response, detectable through fine motor movement and interaction patterns, which neuro-cognitive research can then interpret as likely truthful or likely deceptive.
How it works
The approach runs in three stages: a baseline measurement using questions that shouldn't trigger any emotional response, a set of risk-relevant stimulus questions designed to trigger a neurological reaction if something's off, and a post-stimulus comparison looking for stress indicators. Results come back as an overall score, a question-level score, or full playback detail for manual investigation.
Where it's used
- Credit and loan applications — personal, auto, mortgage
- Insurance claims validation, to catch fraudulent or inflated claims
What to evaluate
Whether the extra questions can actually integrate into your existing application flow, how the resulting score feeds into your risk model, whether the vendor supports industry-specific questions (often at extra cost), and whether you'd apply this to every transaction or just the high-risk segment.
Alternatives
Nothing else really interprets cognitive signals the same way. Behavioral monitoring is the closest comparable technology, but it lacks the psychological component entirely. Building this in-house isn't realistic — it requires scientific expertise and proprietary technology most fraud teams don't have.