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AI data risks: Enterprises urged to protect proprietary information

Feeding proprietary data into AI systems poses significant security risks for enterprises, as highlighted by concerns over data privacy and the potential for breaches. Experts suggest reframing data as personal "memories" to underscore its value and the risks involved. Companies are advised to implement safe and governed methods for AI usage to protect sensitive client and financial information, emphasizing data control over sheer data volume to avoid costly consequences. AI

IMPACT Enterprises must adopt secure data governance practices when integrating AI to prevent breaches and maintain customer trust.

RANK_REASON The item is an opinion piece discussing the risks of feeding proprietary data to AI and offering advice.

Read on Forbes — Innovation →

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AI data risks: Enterprises urged to protect proprietary information

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Paul Deraval, Forbes Councils Member ·

    Feeding Your Proprietary Data To AI Is A Massive Enterprise Security Risk. Do This Instead

    Leaders have to prioritize finding a safe and governed way for the enterprise team to use AI while protecting the data that is so crucial to the customers.