Harm is rarely a single event. It is a sequence that no one was positioned to see whole.
Three modules for retail and commercial banking, each built on signals the institution already generates and rarely reads together: how a customer's identity profile is changing, what surrounds an instruction still in flight, and what forward obligations the customer has already taken on. Each deploys on its own. All three share one model of evidence.
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 each judged in the channel where they arrive. A pattern that is obvious in hindsight looks unremarkable event by event at the moment of decision, and the review that would have caught it is assembled by hand, after the exposure has been taken.
Prioritised, explainable cases for the first line, controls the customer can exercise in advance, and a record of disposition that 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 can be read 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, and takes 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 shows how the scoring behaves. It 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 rests on the same premise: the institution, not the model, holds the judgment.
Explore the capabilities available to demonstrate today and the next milestones for a focused pilot. Together, we define the integrations, validation and deployment requirements for your operating environment.
