1 min read
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.
Want to learn more about AI vs Non-AI related incidents? and Non-AI security events?
Click here to view Barry Lewis' in-depth white paper focused on the Incident Response Framework!
Third-party risk is a member experience problem — and in 2026 it became the credit union's problem alone The Tightrope Walk, Part 2 of 4
The Future of Credit Union Resilience: A Leadership Blog Series for Credit Union Executives, Boards, and Resilience Professionals
Why protection and experience are the same objective, and what it costs to treat them as opposites The Tightrope Walk, Part 1 of 4
Is your credit union prepared for a cyber attack? Learn how to create a actionable incident response plan to minimize impact and ensure swift...
Discover the key differences in roles and responsibilities during AI vs non-AI security incidents and learn how to effectively respond to each...
Learn how cybersecurity tabletop exercises help credit unions test incident response plans, improve cyber resilience, and prepare for real-world...
