Trustfull, a fraud prevention company, has unveiled Investigator, a conversational AI product built to help fraud teams assess risk signals and examine suspicious activity more quickly.
The platform enables analysts to assess a range of digital identifiers — including email addresses, phone numbers, IP addresses, web domains, and onboarding attempts — by describing their requirements in plain language. The system then determines which intelligence sources to query, runs the relevant checks, and delivers structured, explainable fraud signals within seconds.
The launch comes amid growing pressure on fraud operations from industrialised criminal networks. Interpol has warned that organised fraud groups are deploying AI to extend their reach globally, accelerating both the speed and impact of attacks.
Unlike conventional fraud tools, which typically require analysts to select and run manual checks before correlating signals across disparate systems, Investigator is designed to handle that orchestration through a single conversational interface. Analysts can initiate investigations with natural-language prompts such as “check whether this phone number looks suspicious” or “assess this onboarding attempt”. The platform then correlates the relevant signals and presents findings in a structured, explainable format.
Specific capabilities include the detection of disposable number indicators and connected account presence for phone numbers, deliverability checks and data breach exposure for email addresses, VPN and proxy detection for IP analysis, and ownership and hosting verification for websites.
Trustfull CEO Marko Maras said, “Fraud analysts do not need more dashboards, but faster access to reliable and explainable intelligence. Trustfull Investigator was built to reduce friction through AI-powered orchestration, allowing teams to uncover and correlate risk signals faster without sacrificing visibility or control.”
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