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Credit unions are increasingly integrating artificial intelligence into their operations, from fraud detection and loan underwriting to member chatbots and anti-money laundering (AML) screening. While these systems create significant operational value, they also introduce a new class of security incidents that existing incident response (IR) plans may not adequately address. Use the following matrix to classify AI security incidents by severity and determine the appropriate response level.
Not all AI security incidentsnts are created equal and how you respond could change with the type of event. The infographic below shows examples of AI-related security incidents, their severity, who they impact and how long your credit union's response should take. Use this infographic to inform your AI incident response plan or create tabletop scenarios.
Download the Free Incident Response Framework to read the full white paper from Barry Lewis
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