AI systems most at risk of cybersecurity attacks, PwC report shows

AI is no longer just a buzzword for consumer financing; it is now a primary target for hackers. A new report from PwC highlights that business leaders feel least prepared for attacks directed at AI systems. For retailers and operators, this is a wake-up call. Many financing platforms now use AI for instant credit approvals, fraud detection, and customer service bots. If these systems are compromised, your business faces significant risks. A breach in your financing AI could lead to two major problems. First, sensitive customer financial data could be stolen, leading to massive liability and loss of trust. Second, attackers could 'game' your credit models. This would allow unqualified buyers to get approved for high-ticket items, leaving you or your lending partner with unpaid debt. You don't need to be a data scientist to take action. You do need to audit your third-party financing partners. Ask your lenders how they are securing their AI models. Ensure they have specific protocols for 'adversarial attacks'—where hackers feed bad data into an AI to break it. As you integrate more automation into your checkout process, cybersecurity must move from the IT room to the boardroom. Protecting your AI is now just as important as locking your front door.

Source: Finextra — Lending

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