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Answering your 4 biggest questions about generative AI security

The race for generative AI is on. Businesses are rushing to reinvent customer experiences and applications, driven by potentially massive improvements to productivity and experience.

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.

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