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  "documentTitle": "Hyper-disruption demands constant reinvention",
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      "text": "A quick take on social engineering threats\n\nGenerative AI creates an evolved fraud threat landscape and allows bad actors to enhance the sophistication of their social engineering schemes (e.g., phishing texts and emails). Social engineering is a risk that cuts across cyber, information security and fraud, at a minimum.\n\nWhen social engineering attempts are successful, it can put customers and the business at risk for account takeover, data breaches and theft. By recognizing the cross-cutting nature of fraud, and responding in a collaborative, boundaryless way, organizations can close the potential gaps in their defenses. Gaps that can easily be exploited by determined bad actors.",
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      "text": "Whether creating a fake ID based on social media photos, or replicating the voice of an executive, scammers are using AI to swindle unsuspecting victims. In one example, a UK energy company lost £220,000 when fraudsters used AI to mimic the CEO’s voice to request an urgent payment to a supplier.5 Many businesses are unaware that fraudsters are using these tactics and have not put preventive measures in place. Conversely, risk functions can respond by deploying AI to help identify and prevent this type of risk.",
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      "text": "Technology risks have climbed up on the agenda because the nature of the threat has evolved. Businesses have known about technology risks for a while, but they’ve changed significantly, with generative AI-enabled “deepfakes,” for example, being quite new.",
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      "text": "Data risk is also evolving. In the past, businesses were primarily concerned about complying with strict data privacy regulations. However, their focus has now shifted to better understand how the misuse of that data can destroy stakeholder trust and affect the bottom line.",
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      "text": "Accenture Risk Study: 2024 Edition | Hyper-disruption demands constant reinvention",
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