Next-generation fraud detection through privacy-preserving cross-institutional intelligence
Designed for emerging markets and cross-border financial infrastructure
Fraudsters exploit fragmented databases to open fraudulent accounts across multiple jurisdictions. IntelFraud bridges these gaps with a unified engine built for distributed financial infrastructure.
With only 32% of jurisdictions currently supporting cross-border data-sharing frameworks, IntelFraud provides the technical bridge needed for regional cooperation and collective security.
Real-time sharing of threat signals across institutions can blunt the industrialization of fraud by identifying transnational syndicates before they strike.
With biometric fraud reaching all-time highs of 16% per quarter in 2024, static KYC is no longer sufficient for modern financial institutions.
Our models are specifically trained to detect AI-driven face manipulation, face-swapping, and 3D-rendered spoofs that are becoming increasingly common in emerging markets.
We move beyond "prove identity once" to "prove trust continuously," monitoring behavioral shifts even after a user is verified.
As instant payment adoption accelerates globally—with leading markets processing 11 billion transactions annually—security must operate at the same velocity.
Our platform identifies and halts suspicious rapid fund movements and circular transfers in milliseconds, a necessity for instant retail payment systems (IPS).
We correlate behavioral signals native to mobile apps, such as device geolocation and SIM changes, to identify account takeovers even when MFA is bypassed.
In many financial systems, internal branch synchronization is slower than core banking transaction speeds, creating a "Reconciliation Gap" that fraudsters exploit to move funds across branches before central security systems can flag them.
By treating each branch as a separate node within the IntelFraud network, we provide real-time visibility that traditional core banking systems lack, closing the reconciliation gap entirely.
Fraud attempts that span multiple branches are detected in real-time, preventing fund movement before reconciliation cycles complete, regardless of branch synchronization delays.
Empowering financial institutions with regulatory alignment and operational efficiency
Designed to help fintechs and banks meet intensifying regulatory scrutiny and prioritize ethical, transparent AI use across diverse regulatory environments.
In regions where only 30% of jurisdictions have established fraud incident reporting systems, IntelFraud provides a turn-key SOC dashboard that can triple analyst productivity by reducing false positives.
Join the network that is cutting fraud losses by an average of 87% across participating institutions.
Technology designed to work with instant payment systems and evolving regulatory frameworks
Deployed across AWS, Azure, and GCP with regional data centers for low-latency access and data sovereignty compliance.
Real-time streaming via Kafka and feature engineering optimized for instant payment systems requiring millisecond-level decisions.
RESTful APIs, SIEM connectors, and OAuth/SAML for secure, seamless enterprise integration with existing banking infrastructure.
The Privacy Wall: Deploy a hardened microservice that ensures PII never leaves your network
The IntelFraud Edge Gateway is an open-source, stateless microservice designed to be deployed within your bank's internal network. It acts as the "Privacy Wall"—the only point where raw PII exists before being anonymized into Identity Mosaics that can be safely shared with the Hub.
All personally identifiable information is hashed using BANK_SALT + REGIONAL_PEPPER before any network transmission. The Gateway ensures that raw names, IDs, account numbers, and exact amounts never leave your infrastructure.
Built with Go for high concurrency, the Gateway processes transactions in under 10ms—fast enough for real-time instant payment systems while maintaining cryptographic security.
Distroless base image with no shell, package manager, or extra binaries. Multi-stage build ensures minimal attack surface—if compromised, there's nothing for an attacker to exploit.
RESTful API accepts transactions from your Core Banking System. Supports ISO8583 protocol adapters. Complete technical documentation and code examples provided.
Receives raw transaction data from Core Banking System
Creates Identity Mosaic, Amount Tier, and Location Zone
HMAC-SHA256 signature for Hub validation
TLS 1.3 transmission to IntelFraud Hub
Includes Dockerfile, code examples, configuration guide, and integration testing procedures
Don't let your institution be a silo. Join the network that is cutting fraud losses by an average of 87%.