Fraud today doesn’t arrive as isolated incidents. It spreads through networks of mule accounts, insiders, vendors, and shell companies, designed to evade outdated, rule-based systems. Add Al-driven scams, deepfake authorizations, and synthetic identities, and your institution is up against attacks that evolve faster than your defenses.
Introduction
Digital attacks are accelerating, and banks are struggling to keep up. Every moment of delay gives attackers a chance to steal funds, breach compliance, and damage trust. The numbers make the urgency clear:
$2.1B
Estimated annual losses across the GCC banking sector
156%
Year-over-year increase in digital banking fraud attempts
72 hours
Average detection time for sophisticated treasury fraud
Why Traditional Defenses Fail
Paramount + RaptorX: Moving From Reactive to Predictive Defense
Banks can't afford to chase fraud after it happens. You need to see it before it strikes. Paramount, the GCC's trusted cybersecurity partner. together with RaptorX, an Al-powered fraud and AML intelligence platform, provides banks with real-time, explainable, and regulator-ready intelligence.
1
Stop insider collusion early
Detect suspicious employee or agent behavior
2
Stay regulator-ready
Generate evidence packs that withstand AML scrutiny
3
Uncover hidden fraud flows
Mule accounts, shell vendors, layered transactions
4
Disrupt cross-border networks
trace multi-entity links across accounts, devices, and payments
5
Reduce noise
Cut false positives by up to 60%, so your teams focus on real threats
Technology That Delivers
Unsupervised learning models
Trained on real-world fraud patterns for accuracy
Real-time anomaly detection
with <50ms response
latency
99.7% detection accuracy
even across complex fraud networks
Continuous Al auditing
safeguards against manipulation and adversarial attacks
Performance Benchmarks
- 99.7% detection accuracy
- 50ms response latency
With Paramount and RaptorX, you gain the power to anticipate fraud, secure transactions, and preserve trust at the speed your business demands.