Financial
Transaction Monitoring & Risk Control
Banks, fintechs and payment processors operate in an environment where milliseconds determine whether a fraudulent transaction is caught or absorbed. T7 monitors transaction pipelines 24/7 with a risk engine that processes thousands of events per second — flagging fraud vectors before they cost revenue.
The challenge
Fraud doesn't announce itself. It accumulates quietly, in the gap between what the payment system processes and what compliance teams can review in real time. By the time a pattern becomes visible in traditional reporting, the exposure has already occurred — often across dozens of transactions, at amounts just below automated alert thresholds.
Capabilities
- High-frequency transaction stream monitoring — processing thousands of events per second with sub-3ms detection latency across every payment channel and instrument
- Rule-based + ML fraud scoring — combining deterministic rules with adaptive machine learning that evolves with emerging fraud patterns without requiring manual rule updates
- Regulatory reporting automation — CNBV, SBS, SFC and regional compliance frameworks built in, with audit trails that satisfy regulator review without manual preparation
- Incident response playbooks with full audit trails — structured response workflows that ensure consistent handling, evidence preservation and regulatory accountability for every flagged event
Platform
- Transaction Stream Monitor — Real-time pipeline visibility across every payment channel — card, ACH, wire, digital wallet — with sub-3ms detection latency and anomaly alerting at any transaction volume.
- Adaptive Fraud Scoring Engine — Combines deterministic rule evaluation with ML models that adapt to evolving fraud patterns. Scores every transaction in real time and escalates based on configured risk thresholds.
- Regulatory Intelligence Layer — Automated reporting for CNBV, SBS, SFC and regional frameworks. Audit trails generated at the transaction level — no manual reconstruction required for regulatory review.
Results
- 15 k+ Events Processed / Second
- 99.97% Detection Accuracy
- <3 ms Alert Latency
Use cases
- Real-Time Fraud Prevention Across All Channels
- CNBV / SBS Regulatory Reporting Automation
- Payment Pipeline Health Monitoring
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