Coretrustlink

FOTY-AML

Real-time FDS with evidence automation

handling both anomaly detection and audit response

Analyzes financial transaction to identify suspicious activity and AML risks, and automatically generating explainable evidence for audit

1. Request / Approval

2. Access

3. Monitoring

4. Response

Workflow

Parsing Agent

Detection Agent

Explanation Agent

"Hey, Check the transaction from my waalet 1A2B... for about 0.75 BTC yesterday."

The detection agent consumes the parsed schema, runs feature extraction and applies a detector

The Agent (Gemini) synthesizes the data to generate a human-readable narrative

{"date_range": "past 24h", "wallet_address": "1A2B...", "value_btc": 0.75}

A per-transaction anomaly probability is drawn under the structured constraints

0.98

"This transaction is flagged as "High-Risk' (98% probability) due to its connection with a suspicious sender..."

Use Cases

Transaction Monitoring for FDS / AML Teams

- Real-time processing of high-volume transaction streams

- Feature-based anomaly scoring using machine learning models

- Threshold-based alerting with risk ranking

Digital Asset & DeFi Fraud Detection

- Identification of anomalous on-chain transaction behavior

- Analysis of temporal, transactional, and connectivity features

- Support for complex transaction flows in decentralized environments

Internal Risk investigation & Compliance Review

- Structured investigation workflows with traceable outputs

- Audit-ready analysis with consistent, reproducible decision logic

- Compliance-ready workflows aligned with regulatory requirements

Why FOTY-AML?

From detection to immediate response to audit-ready evidence—everything is unified in a single product.