See fraud before it strikes. Fraud Detection Software & Threat Intelligence Platform

Sentinel OneIQ is a cybercrime, fraud and economic-crime intelligence platform that detects fraud and financial crime before it happens. As an AI-powered fraud detection platform , it integrates external threat signals, including dark web monitoring, breach data, phishing intelligence and mule consortium feeds, with internal data to produce real-time, explainable risk decisions. Unlike a traditional fraud detection system that only reacts after a loss, Sentinel OneIQ is built for fraud prevention software and financial crime detection that works ahead of the transaction.

Sentinel OneIQ is built for banks, payment providers and fintechs, with tailored views for executives, fraud and SOC operations teams, and threat-intelligence analysts. As an enterprise fraud risk management and identity risk intelligence platform, it suits any organisation that needs AML compliance software and anti-fraud software capable of covering account takeover, mule networks and economic crime in one place, rather than three separate tools.

Traditional fraud engines are reactive and pattern-based: they only flag a transaction once it looks like previous fraud. Sentinel OneIQ adds pre-attack threat intelligence , a transparent rulebook rather than a black box, an auditable explainable AI fraud detection pipeline, and a forward-looking Threat Pressure forecast. Where legacy transaction monitoring software shows you what already went wrong, Sentinel OneIQ is designed as predictive fraud analytics that surfaces compromise signals before the first fraudulent transaction lands.

Yes, by design. Sources are commercial threat intelligence platform providers, open-source intelligence (OSINT) and law-enforcement partnerships. Sentinel OneIQ never makes direct dark-web purchases or funds criminal ecosystems, which matters for any organisation that needs cyber threat intelligence it can defend to a regulator, not just data it can use.

Every agent step records its prompt, inputs, outputs, token usage, latency and status, giving a full audit trail for each assessment. This is what makes Sentinel OneIQ explainable AI fraud detection rather than a black-box model: risk scores are traceable back to a named reason, which is the standard most AI risk scoring tools cannot meet when an auditor asks how a decision was reached.

The Integration Hub supports 30+ intelligence sources and internal feeds. Operational alerts hand off to ticketing tools such as JIRA through the built-in triage workflow, so Sentinel OneIQ slots into an existing fraud risk management stack rather than replacing it outright, working alongside your current case management and SIEM tooling.

Sentinel OneIQ provides auditable control frameworks, F3 coverage mapping against a MITRE-style fraud taxonomy, and documented, proactive threat monitoring, aligned with regulator expectations for dynamic risk controls. For teams managing regtech compliance and economic crime compliance obligations, that means evidence of control coverage is already in the platform, not assembled by hand the night before an audit.

Sentinel OneIQ scores risk across three composite models: Account Takeover, Mule Network and Economic Crime. As an account takeover protection and mule account detection capability, it sits alongside broader money laundering detection and synthetic identity fraud detection use cases, giving fraud and risk teams one entity graph rather than separate point solutions for each fraud type.

Fraud detection typically means spotting a fraudulent transaction as, or just after, it happens. Fraud intelligence is broader: it means gathering external signals, such as dark web monitoring, credential exposure monitoring and threat actor tracking, before any transaction occurs. Sentinel OneIQ is built as a fraud intelligence platform first, with real-time fraud detection as one output of that intelligence, rather than the only thing the system does.

Yes. Dark web monitoring is one of the 30+ sources feeding the Integration Hub, alongside breach intelligence and phishing feeds, giving banking threat intelligence teams visibility into credential exposure and emerging mule networks before they reach a transaction. This sits within Sentinel OneIQ's wider role as a banking fraud prevention and economic crime intelligence platform, not a standalone dark web tool.