FinTech is disrupting the way we move money, buy goods and services, invest, and more, all with the goal of responding to customer needs to conduct transactions instantly and seamlessly over a growing number of channels. Users want to access and send money from their phones and digital wallets instantaneously, in new types of currency we could not have imagined years ago. New threats for fraud and anti-money laundering (AML) are emerging every day. With this new reality comes a need to innovate to fight financial crime.

Autonomous Financial Crime Management brings together innovative technologies to seamlessly connect data from anywhere. By applying machine learning, advanced analytics and automation, raw data becomes actionable intelligence. This intelligence detects, decides, investigates and resolves alerts and cases with limited human intervention, enabling financial services organizations to better mitigate and control risks, while significantly reducing costs. Just like an autonomous vehicle, financial crime technology includes elements that will “drive” themselves when it makes sense for the business. This is achieved by leveraging machine learning and automation to choose which models to use and when, and ultimately to create their own unsupervised models. The answer is not fully autonomous, but autonomous where it counts the most for critical decisions.

ActOne: The market's first AI-enabled financial crime investigation management platform. ActOne offers a virtual workforce and automated visual storytelling to dramatically decrease investigation time.

Suspicious Activity Monitoring: The new AML means more intelligence with less work. With machine learning and automation, we're reducing false positives and slashing investigation times.

Actimize Financial Crime Analytics: Accessible AI means analytics for any institution. Automation and machine learning means accuracy, agility and choice.