Risk management in the financial industry is becoming increasingly complex. It is important to build agility into planning and execution of risk identification and mitigation. A robust risk management system must mimic the human brain, identify existing risks in a system, and trigger risk events. What is also needed is the ability to scale, which comes with a customizable, secure and efficient cloud infrastructure.
While AI tools can help identify risks in processing, storing and transferring data across platforms and messaging systems, it can be a challenge to unify different platforms for reading, analyzing and storing data. A unified rule engine can enable organizations to build a seamless, risk-free, real-time data processing environment.