Advanced detection systems and expert training programs protect your business from sophisticated scams that cost Australian companies over .8 billion annually. Our proven methods catch fraudulent activity 94% faster than traditional approaches.
Explore Protection ProgramsTraditional fraud detection relies on outdated patterns. Our system analyzes behavioral anomalies, transaction velocities, and network relationships to identify sophisticated schemes before they cause damage.
Machine learning algorithms track spending patterns, login behaviors, and communication styles to detect subtle changes that indicate compromised accounts or internal fraud.
Every transaction is evaluated within 200 milliseconds using over 400 risk factors. Suspicious activities trigger immediate alerts while legitimate transactions proceed seamlessly.
Our system maps connections between accounts, devices, and locations to identify fraud rings and coordinated attacks that single-point analysis would miss entirely.
Most businesses discover fraud 18 months too late. Here's how we compress that timeline to 18 minutes.
Within 24 hours of implementation, our system begins learning your normal business patterns. We establish baseline behaviors for all users, accounts, and transaction types without disrupting daily operations.
By week two, intelligent alerts identify unusual activities. The system distinguishes between legitimate business changes and potential threats, reducing false positives by 89% compared to rule-based systems.
After 30 days, predictive models anticipate fraud attempts before they occur. Account takeover attempts, synthetic identity fraud, and payment manipulation schemes are blocked automatically.
The system adapts to new fraud techniques through machine learning updates and threat intelligence feeds. Your protection improves automatically as global fraud patterns evolve.
Every implementation brings unique challenges. These answers address the most common concerns from finance directors and risk managers.
Integration typically completes within 2-3 business days for most ERP systems including SAP, Oracle, and QuickBooks. Our API connects to 200+ financial platforms without requiring changes to your existing workflows. Staff training adds another 1-2 days for basic proficiency.
Less than 0.3% of legitimate transactions require manual review. When flags occur, authorized personnel receive instant notifications with clear explanations. Most reviews take under 5 minutes, and the system learns from each decision to improve accuracy.
Our models update continuously with new fraud patterns from across our network of 15,000+ protected organizations. When fraudsters develop new techniques, the system identifies them within hours and pushes protection updates automatically. This collective intelligence makes individual bypass attempts extremely difficult.
Basic operation requires 4 hours of training for finance staff and 2 hours for executives. Advanced features like custom rule creation need additional 8-hour certification. However, 80% of fraud prevention happens automatically without any staff intervention.
Former financial investigators and cybersecurity specialists who've spent decades tracking down sophisticated fraud schemes across Australia and internationally.
Lead Fraud Detection Specialist
15 years investigating financial crimes for AUSTRAC and major banks. Specializes in synthetic identity fraud and business email compromise schemes that target mid-market companies.
Risk Assessment Director
Former forensic accountant who uncovered Australia's largest procurement fraud case in 2023. Now develops predictive models that identify internal fraud before financial damage occurs.