Applications / fraud, malware, and adversarial integrity
Adversarial behaviour, observable at the moment of execution.
Adversarial behaviour shows up as deviation from a legitimate execution trajectory — not as a single static threat indicator. Execution evidence makes those deviations measurable at the moment they occur.
“Mobile malware is getting better. My fraud models drown in operational noise that looks like fraud but isn't. I need clean signals.”
Three operator outcomes from one signed substrate.
- ·01 Reject adversarial tokens before they reach your risk model
- ·02 Receive threat signals signed inline with the transaction
- ·03 See velocity and card-testing bursts at device-identifier granularity
Fraud teams reason from probabilistic signals because the substrate is noisy — operational artefacts and real adversarial behaviour mix at the source. Execution evidence cleans the substrate before the model sees it.
The operational shifts this journey enables.
Each item below is something your operations, fraud, support, or audit team can do that they cannot do today. Read in executive language; the technical contract behind each is referenced compactly at the foot of this section.
- ·01 Class of attack eliminated, not weighted
Reject downgrade attacks at the protocol gate
today
Tokens with weak or missing cryptographic declarations reach your risk model and consume capacity weighting an attack class.
with execution evidence
Downgrade and confusion attacks are refused at verification. A whole class of attack closes at the protocol layer.
- ·02 Tamper attempt becomes a hard rejection
Detect tampered sequences deterministically
today
Retries that lie about their order look like borderline fraud — probability scores your team has to argue about.
with execution evidence
Tamper attempts become hard rejections with cryptographic certainty. No more borderline cases.
- ·03 Risk weighting becomes signed, not inferred
Receive on-device threat signals inline
today
Runtime threat detections travel on a separate telemetry channel — sometimes arriving after the transaction has cleared.
with execution evidence
The threat signal travels with the transaction it describes — signed, time-bound, hash-linked. Risk engine reads it directly.
- ·04 Card testing visible at device granularity
See velocity attacks at device-identifier granularity
today
Card testing, bot scripting, and probing become visible only after card networks complain or chargebacks arrive.
with execution evidence
Per-device velocity is observable in seconds — pseudonymous, no PII exposed. Card testing surfaces in real time.
technical reference · signed events behind these outcomes
algorithm_confusion · sequence_regression · threat_detected · velocity_burst
Full event schema and reference verifiers in the YEI-001 specification — available under NDA.
YinkoShield supplies the signed signals — runtime integrity, sequence integrity, velocity context. You apply your own policy: weight, reject, escalate, or refer to investigation.
Run these signals on your own dashboard.
Signal Lab ships a hosted dashboard, scripted scenarios, and a CSV bulk replay. Every signal in this journey has a reproducible scenario you can run, watch, and reset. No installation on your infrastructure.