DERIV
AlertIQ is a next-generation financial crime intelligence platform designed to address the core failures of traditional AML systems. Instead of relying on static rules and fragmented monitoring, AlertIQ continuously analyzes transactions in real time, learning customer behavior, tracking temporal patterns, and mapping complex account networks to uncover hidden risk. The platform fuses behavioral models, time-based intelligence, and relationship graphs into a unified risk engine that detects money laundering, fraud, and compliance breaches before they escalate. Every alert is supported by Model Insights, clearly explaining why it was triggered, what patterns were detected, and how risk evolved over time—ensuring full transparency and auditability. AlertIQ actively measures and reduces false positives using confidence-weighted scoring, analyst feedback loops, and fairness-aware modeling. This minimizes alert fatigue while preserving detection accuracy, allowing compliance teams to focus on genuinely high-risk cases. To streamline regulatory workflows, AlertIQ includes a built-in Compliance Copilot that transforms complex alerts into regulator-ready summaries, supports SAR preparation, and simplifies audits—without removing human oversight. The system is fully aligned with global AML standards, including FATF risk-based principles and regional regulatory frameworks. Built with responsible and sustainable AI, AlertIQ uses lightweight models for detection and applies large language models only for explanations and reporting. The result is an efficient, explainable, and future-ready AML solution that restores trust, reduces operational risk, and transforms how institutions fight financial crime.
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