Coretrustlink

FOTY-AML

Human-Centered FDS Solution

an AI-driven digital asset anomaly detection

delivering clear, explainable insights beyond anomaly scores

Key Features

Natural Language

Investigation

AI-powered

Anomaly Detection

Explainable Fraud Insights

Analyzing suspicious transaction using simple natural language—no code or technical expertise required

Detection of high-risk transactions with machine learning-based anomaly scoring on large-scale transaction data

Clear explanations that show why a transaction is flagged and what to check next

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