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For example, it manages borrower’s credit data and spots early financial signs. This helps lenders proactively tackle creditrisks. Also, AI's predictive analysis forecasts borrower defaults and risk levels using data. AI aids loan decisions, assessing individual risk profiles for granting loans and setting rates.
Banks are often applying decades-old risk management strategies to their cyber risk management efforts, according to Simkins, because they lack the adequate understanding and experience of cybersecurity, as well as third-party risk management on a cyber level. But the cyber risk is new.”
That tactic — cutting corners and pennies — shows a glaring disconnect in risk management, according to Taylor. He said banks pay a lot of attention to financial risk, spanning liquidityrisk, creditrisk and overall exposure to different markets.
Soaring interest rates and liquidityrisks have toppled eight banks since 2023, and creditrisk looms large amidst geopolitical tensions and the squeeze of inflation. The post 75% of Banks Plan to Increase Investment in Risk Technology Infrastructure, Finds SAS appeared first on The Fintech Times.
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