Fraud Detection Software Resources

A no-code rule engine allows risk and compliance teams to build, test, and deploy detection logic without writing code or relying on engineering teams. Analysts can configure rules, thresholds, and monitoring logic directly within the platform, enabling faster responses to emerging fraud patterns. This capability is especially valuable in fast-moving financial environments where fraud tactics evolve quickly. Instead of waiting weeks for engineering support, teams can adjust detection strategies in minutes. When combined with Unit21’s AI agents and AI-powered detection capabilities, the rule engine becomes significantly more powerful. Beyond manual rule creation, AI can actively assist analysts by generating and improving detection logic: -> Create rules from natural language: Analysts can describe suspicious behavior in plain language, and AI translates it into fully structured detection rules. -> Recommend rule optimizations: AI analyzes performance and suggests improvements to existing rules, including thresholds, variables, and trigger conditions, along with clear justifications. -> Embed AI directly into rules: AI signals can be used as dynamic variables within rules, enabling more adaptive and context-aware monitoring. This creates a feedback-driven system where detection continuously improves based on both human expertise and machine intelligence. The result is a more adaptive risk program where teams can iterate quickly, reduce false positives, and respond proactively to new threats.

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Unit21 is widely used by fintechs, neobanks, traditional financial institutions, and cryptocurrency platforms that need modern infrastructure for managing financial crime risk. The platform is also well-suited for complex financial ecosystems such as payment processors, marketplaces, brokerages, and Banking-as-a-Service (BaaS) programs. These organizations rely on Unit21 to unify fraud prevention and detection, AML monitoring, and investigation workflows within a single operational environment. AI-assisted workflows help teams manage increasing volumes of alerts without expanding headcount, while maintaining regulatory compliance. Companies such as Intuit, Crypto.com, Service Credit Union, Greendot, Sallie Mae, Rippling Brex, and America First Credit Union use Unit21 to operate scalable fraud and AML programs across growing financial products and customer bases. Industries served include: Fintechs and neobanks, Banks and credit unions, Cryptocurrency platforms and exchanges, Payment processors, Marketplaces and BaaS providers

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Traditional fraud and AML systems are often rigid, engineering-heavy platforms that require long deployment cycles and significant technical involvement to make even small changes. Unit21 takes a different approach by providing a flexible AI Risk Infrastructure that allows risk teams to configure and evolve their detection logic quickly. Compliance teams can create and adjust rules, workflows, and investigation processes without relying on engineering teams. AI agents further accelerate this process by assisting analysts with alert triage, investigation summaries, and case preparation. Instead of static monitoring systems that require constant manual tuning, Unit21 creates a feedback loop where investigation outcomes continuously inform and improve detection. This enables organizations to respond faster to new fraud patterns while maintaining full transparency and regulatory auditability.

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