Answering your 4 biggest questions about generative AI security

While the generative artificial intelligence (AI) era has only just begun, organizations are already realizing tangible benefits across virtually all business units. However, security professionals advise caution. They cite data privacy, model bias, harmful content creation (such as deepfakes), and the risks of malicious input on models as reasons to approach generative AI adoption with care. It is imperative that organizations approach generative AI with a clear strategy for how to protect their data, users, and reputation—while still enabling rapid adoption and improving customer experience.

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