
AI cyber risk in banking: Is security spending delivering results?
AI is making it easier for banks to identify security vulnerabilities, but finding more weaknesses is not the same as fixing them. As AI-powered tools accelerate vulnerability discovery, cybersecurity teams face increasing pressure to validate findings, prioritize threats, and deploy fixes. For banks, this creates an important investment question: where should the next cybersecurity dollar go? In this episode of The Intuition Finance Digest, we explore how AI is changing the economics of cybersecurity in banking and why additional spending must be evaluated against its ability to reduce material exposure. The discussion looks at why growing remediation backlogs can sometimes indicate better visibility rather than deteriorating security, and why the time taken to address serious vulnerabilities matters more than the number of findings closed. We also consider how finance and risk leaders can assess investment across vulnerability discovery, engineering capacity, testing, and remediation, taking account of the full costs involved. In this episode, we cover: Why AI is increasing the workload associated with vulnerability discovery What growing remediation backlogs mean for cybersecurity risk Why serious exposures need to be addressed more quickly How banks can decide between investing in more detection tools or greater remediation capacity Why full delivery costs, rework, and time to address vulnerabilities matter when measuring security spending Resources: Read Intuition's related article on the economics of AI-enabled cybercrime: https://www.intuition.com/how-ai-is-changing-the-economics-of-cybercrime/ Learn more about Intuition Know-How: https://www.intuition.com/know-how/ Find out more about Intuition Publishing: https://www.intuition.com/ Follow Intuition Publishing on LinkedIn: https://www.linkedin.com/company/intuition-publishing-ltd./





