Threat Assessment Hub
GNN + Reinforcement Learning anomaly detection
Anomaly Cluster Visualization
SEABORNAwaiting Matplotlib/Seaborn payload...
XAI Feature Attribution
SHAPShapley values β global model importance
EU AI Act β All decisions traceable via SHAP/LIME
Federated Learning Command Center
IEEE FinGraphFL β Privacy-preserving collaborative AI
Global Node Sync
ROUND #847Secure Aggregation Protocol
CKKS Lattice
Secure FedAvg
RΓ©nyi DP Ξ΅=0.5
FraudGNN-RL
Transaction Network Graph
TSSGC β Temporal-Spatial-Semantic Graph Convolution
Audit Session History
| Date | Rows Scanned | Anomalies | FL Round | Status |
|---|---|---|---|---|
| Oct 12, 2026 | 10,000 | 4 | #845 | Resolved |
| Oct 05, 2026 | 8,450 | 1 | #839 | Resolved |
| Sep 28, 2026 | 12,200 | 7 | #831 | Resolved |
| Sep 20, 2026 | 9,100 | 2 | #824 | Under Review |
Subscription & Billing
Analyst Tier
$800 /mo
- 5,000 txns/month
- Basic GNN Scan
- No FL
- No FHE
Quantum Shield
$12,000 /mo
- Everything in Enterprise
- Quantum Graph Learning
- GAN Adversarial Sims
- Unlimited FL Nodes
Support & Documentation
βΈ How does OCR Verification work?
Cross-references ledger amounts against scanned PDF receipts using Vision Transformers (ViT) for pixel-level manipulation detection.
βΈ What are Graph Neural Networks (GNNs)?
FraudGNN-RL analyzes entire payment networks as graphs. If Employee A β Vendor B β Employee C, the GNN flags the shell-company ring. RL dynamically adjusts thresholds.
βΈ How does Federated Learning protect data?
FinGraphFL trains models across bank nodes without sharing raw data. Only encrypted gradients are exchanged via Secure FedAvg with RΓ©nyi DP (Ξ΅=0.5).
βΈ What is Fully Homomorphic Encryption?
FHE (CKKS lattice) allows AI to compute on encrypted data. Your ledger is never decrypted during analysis β the gold standard of Data-in-Use protection.
βΈ XAI Audit Trail & EU AI Act compliance?
SHAP/LIME feature attributions on every flagged transaction. Satisfies EU AI Act 2025 & GDPR Article 22 right to explanation. Full audit-by-design architecture.