Navigating the Landscape of Generative AI: A Guide for Organizations

In the wake of the recent surge in interest around generative AI, notably ChatGPT, there has been a corresponding increase in phishing emails, as reported by security researchers. This development is intriguing, as it highlights the creative ways in which employees and individuals are leveraging generative AI, sometimes in less secure manners. Developers, in particular, have found it fascinating to write software programs and scripts used in infrastructure builds.

However, this trend presents a significant challenge. While the benefits of generative AI are undeniable, organizations must be cognizant of these advantages and discern where to draw the line on the implementation of generative AI within their applications.

For organizations operating in regulated industries, it’s important to note that the following list of minimum security requirements for implementing a secure application that uses generative AI is not exhaustive:

1. Define the goal of the use of generative AI.
2. Identify the data points and flows.
3. Define an AI and ML policy

In conclusion, it is of utmost importance to protect sensitive and confidential data by using generative AI cautiously and fairly.