Explanation:
B is correct because it focuses on understanding the specifics of the cyber-attack and improving the system's resilience against such challenges. Analyzing the incident helps identify the system's vulnerabilities and areas for enhancement. Strengthening the system's ability to withstand and adapt to adverse events is crucial for resilience. Implementing real-time monitoring is also a key strategy for early detection of threats, allowing for quicker response and adaptation. This approach ensures that the AI system not only recovers from disruptions but also becomes better equipped to handle similar situations in the future, a critical aspect for AI systems in the financial sector.
A is incorrect as increasing manual checks does not address the underlying resilience issues of the AI system. While manual checks might provide a temporary solution, they do not enhance the system's ability to adapt to new challenges.
C is incorrect because simply enhancing the processing speed and data capacity does not directly improve resilience against cyber-attacks or other unforeseen challenges. Resilience involves the system's ability to handle disruptions and adapt to changes, which goes beyond processing capabilities.
D is incorrect as restricting the AI system to only low-risk transactions does not enhance its resilience. While it may reduce immediate risks, it does not help the system learn and adapt from the incident. Ensuring resilience requires exposing the system to varied scenarios, including high-risk transactions, and enhancing its ability to handle them effectively.
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Q.5594 You are the Chief Technology Officer at Global Bank, a leading financial institution that has recently implemented an AI system for real-time fraud detection. The AI system analyzes transaction patterns to identify and flag potential fraudulent activities. A few months after deployment, the system faces an unprecedented type of cyber-attack that temporarily disrupts its fraud detection capabilities. While the system was able to recover and resume normal functions, this incident highlighted potential weaknesses in its ability to adapt to unforeseen challenges. In the context of the AI Risk Management Framework, what is the most appropriate step to enhance the resilience of the AI fraud detection system in response to this incident?
A
Increase the frequency of manual checks by the fraud detection team until the system shows consistent performance over an extended period.
B
Conduct a thorough analysis of the incident, strengthen the system's ability to withstand and adapt to such adverse events, and implement real-time monitoring for early detection of similar threats.
C
Focus on enhancing the processing speed and data handling capacity of the AI system, as a more powerful system will be less susceptible to disruptions.
D
Restrict the AI system to analyze only low-risk transactions until it proves capable of handling high-risk scenarios without interruptions.