Harm is rarely one event. It is a sequence nobody was positioned to see whole.
Three modules for retail and commercial banking, each built on signals the institution already generates and rarely evaluates together: how a customer's identity profile is changing, what context surrounds an instruction still in flight, and what forward obligations the customer has already taken on. Each deploys independently, and all three share a common evidence model.
Retail and commercial banks, payment institutions, and fraud and financial-crime operations teams
Intervention precision · time to disposition · loss avoided · customer action rate
Identity, payment, device, and contact signals are evaluated in the channel where they arrive. A pattern that is obvious on hindsight review presents as unremarkable event by event at the point of decision, and the escalated review that would have surfaced it is assembled manually, after the exposure has already been taken.
Prioritised, explainable cases for the first line, proactive controls for the customer, and a disposition trail the second line and internal audit can rely on without reconstructing it.
Each module addresses a different point in the customer relationship and can be deployed on its own. Run together, a signal raised by one is readable by the others.
Continuous identity risk monitoring
Payment context interception in real time
Recurring obligation visibility and control
Customers change telecom providers, reset credentials, and register new devices as a matter of course. Identity Guardian scores the combination and the interval between events rather than any single one of them, taking a clean relationship to a critical position across a realistic attack sequence.
| Step | Event | Score | Status |
|---|---|---|---|
| Baseline | Established account behaviour | 0 | Good |
| 01 | Telecom identifier changed | 18 | Good |
| 02 | Credential reset | 35 | Good |
| 03 | Authentication from a new device | 50 | Medium |
| 04 | New beneficiary registered | 76 | High |
| 05 | High-value transfer instructed | 94 | Critical |
Output from the working prototype on synthetic data. It demonstrates scoring behaviour and is not a performance claim against a live portfolio.
An institution can process every instruction correctly and still leave both the analyst and the customer without the context that would have changed the decision. Each module addresses that gap from a different side, and each is built on the premise that the institution, not the model, holds the judgment.
An evaluator's first job is to find the gap between the claim and the code. Stating it first is faster for everyone, and it is the part of a pilot conversation that determines whether the rest is worth having.
