The value of data that is collected and stored, make the financial sector a prime target for cybercriminals. AI has been widely used in the financial sector for client risk profiling, fraud detection, credit risk evaluation, and for automating manual processes. It is quite important to make sure that these AI engines are not biased and fairly treating all customers. Moreover, In the same way that cybercriminals are interested in stealing private financial information, they are looking for means to exploit vulnerabilities in AI systems and exfiltrate private data. The risk of unauthorized access to a vulnerable AI engine is similar to accessing the underlying data that is used for training the engine. Our AI-Security scientists work closely with the cybersecurity team in the banking and financial sector to assess the robustness of AI systems and to assure their compliance with security and regulatory requirements. We offer the following services to make AI Robust, Responsible and Reliable in the financial sector.
