Build security for generative AI in healthcare

The potential for massive improvement to productivity and the patient experience has organizations rushing to deploy generative artificial intelligence (AI) applications. However, security professionals point to data privacy, model bias, harmful content creation (such as deepfakes), and the influence of malicious input on models as reasons to approach generative AI adoption with caution.

In the eBook Answering Your 4 Biggest Questions about Generative AI Security, you will discover how to begin envisioning and implementing protective measures for your generative AI workloads.