Use cases
ShadowIQ helps financial institutions move from fragmented alerts to unified, explainable investigations across financial crime.
AML Alert Reduction & Investigation
ShadowIQ autonomously investigates AML alerts by correlating transactions, entities, and behaviors across systems. Agentic AI reduces false positives, prioritizes true risk, and provides clear explanations that support compliance reviews and regulatory exams.
Fraud & Account Takeover Detection
By unifying fraud signals with behavioral data, dark-web intelligence, and threat-actor indicators, ShadowIQ identifies coordinated fraud and account takeover activity earlier—reducing customer impact and financial loss.
Cross-Channel Financial Crime Correlation
ShadowIQ connects AML, fraud, and cybersecurity signals to uncover patterns that siloed tools miss. This cross-channel view enables faster escalation of complex financial crime cases.
Dark-Web Exposure & Threat Intelligence
ShadowIQ monitors dark-web and external threat sources to identify compromised credentials, mule activity, and emerging threat actors—enriching internal alerts with real-world context.
Consortium-Driven Risk Intelligence
Through an opt-in consortium model, institutions benefit from anonymized risk signals shared across participants, improving detection accuracy and highlighting emerging threats earlier.
Regulatory Exams & Audit Support
Every investigation includes transparent reasoning and audit trails, helping compliance teams respond confidently to regulators, auditors, and internal risk reviews.