Fraud intelligence for connected business networks
169,426,707 data points.
Scored around the clock.
Built for any ledger. Proven first in life insurance.
FraudBrain scores every producer on dozens of engineered fraud signals, maps the rings that volume hides, and ranks your review queue by evidence and exposure. Built for carriers. Built for the BGAs whose capital is on the line.
Every field of every record in the production graph, live-counted. Not a projection. Not a rounding. Today's number.
Applications, quotes, payments and commission ledgers, joined into one producer graph.
Every producer in every scoped book, re-scored continuously, many times a day. Post-sale carrier evidence lands daily.
Carriers and distribution principals, each seeing exactly its own book. Boundaries enforced server-side on every request.
The explainer
Fraud is rarely one obvious signal. It is a pattern.
One application. Another submission. A shared connection. Activity after the sale. Together, they tell a different story.
Plays here, with sound
One brain. Two balance sheets.
The chargeback is the last signal. We work on the first thirty.
Producer fraud shows up months before the money leaves: in how applications arrive, what they share, and what they become. FraudBrain reads those signals while there is still something to protect.
Scale your SIU.
Organized rings and high-risk producer patterns surface in minutes on a live cadence, ranked by exposure with the evidence attached. Your investigators start at the top, not at page one of an export.
Request an architecture review →Defend your advances.
Your advance balance is a forecast. FraudBrain watches every producer in your hierarchy against dozens of engineered signals, scoped to exactly your book, before the debit balance exists.
Request an architecture review →The engine
Built like an intelligence platform. Not a report generator.
Every producer, continuously scored
Machine-learned models plus engineered signals score each producer on the patterns that show up before losses, read across a whole book rather than one file.
Rings, not just rows
Cross-producer graph analysis connects what no single file shows: shared bank instruments, shared applicants, funding clusters, coordinated bursts across a hierarchy.
Evidence most systems never touch
E-sign telemetry, device and origin intelligence, post-sale carrier evidence, hierarchy graphs. Millions of records fused into one producer-level picture, refreshed on a continuous cycle.
Interrogate the book in plain language
Ask about a producer, a downline, or who to look at first this week. Answers stay scoped to your organization and disclose their scope, every time.
Enterprise governance
Built for adjudication. Not automation.
Scores advise. People decide.
The models surface anomalies and prioritize investigation. Your team keeps absolute control of every determination. FraudBrain scores, flags and ranks. It never clears, declines or terminates anyone.
Humans in the loop, by design
Fraud specialists and engineers review, adjudicate and retrain continuously. Every human review feeds the brain, and the brain gets sharper against threat patterns that will not sit still.
Scoped at the server, always
Every organization sees exactly its own book. Boundaries are enforced server-side on every request and proven by deploy-blocking isolation tests, not styled in the interface.
The seal
Say it before they try it: this network is monitored.
Member organizations display the Monitored by FraudBrain seal on their websites, portals and email footers. It tells every producer, before the first application is ever written, that this book is scored continuously and read as a network. Most of the fraud that a seal prevents never shows up in a queue. That is exactly the point.
The seal is served live by FraudBrain to organizations with monitoring active on their book. It renders only while monitoring runs, goes dark on its own if the feed stops, and links to a verification page that says exactly what it means: monitored. Not a certification, not a guarantee. Scores advise. People decide.
Become a monitored network →Beyond insurance
The engine travels.
Entities, origins, instruments, relationships. The graph does not care which industry the ledger came from. Life insurance distribution is deployment one, chosen because fraud hides best where the money moves fastest. Everything else is a data feed away.
Lending originations, marketplace payouts, affiliate networks, any program that pays people today against performance that arrives later. If your ledger advances against the future, the same graph reads it.
Request an architecture review
See your book the way we see it.
FraudBrain is deploying with select life carriers and enterprise BGAs, and reading ledgers beyond insurance. Tell us who you are and we will set up an architecture review and a live look at the engine.
A human reads every request. Expect a reply, not a drip campaign.
Prefer email? hello@fraudbrain.ai reaches the same person.
Find the outlier. Break the ring.
The FraudBrain mark is the graph itself: connected nodes, one of them wrong. Fraud hides in connections and counts on complexity for cover. We light the whole graph so the threat stands alone: isolated, exposed, ready for review.