5 Steps to Make Sure Generative AI is Secure AI

Both business leaders and employees are excited to leverage generative AI. Understanding the risk landscape and proactively preparing can help organizations reap value securely.

ChatGPT’s meteoric rise has captured the business world’s attention at a pace and on a scale rarely seen before. But this represents only one part of a broader generative AI revolution. Thanks to advances in large language models (LLMs) and other foundation models, we’re witnessing a step change in AI capability across multiple domains—images, audio, video and text.

This is allowing machines, for the first time, to be computationally creative, generating meaningful and valuable content on demand. And the power, broad downstream adaptability and easy accessibility of this technology means every company, in every industry, will be impacted.

Business leaders are right to be excited about the opportunities. As are employees, many of whom are eager to get started with the technology. However, both groups need to be highly attuned to the business and security risks they may be incurring—and how those risks can be minimized.

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