Reporting – Security and Privacy Considerations for Gen AI – Building Safe and Secure LLMs

Reporting

Reporting is a fairly simple concept, and it means exactly what the name implies, so we will not delve into it too much here. The main point of this section is to emphasize that all the threats and security risks that might appear need to be neutralized, and all the security, access, and controls need to be buttoned up well; however, a regular (all the time?) audit will produce results or reports. These reports should be analyzed by both automated methods, likely, once again, to be generative AI and also have a human in the loop. The reports do not have to be fancy; however, when coupled with monitoring solutions, reporting can tell quite a powerful story in terms of giving your organization a more complete view of the security footprint.

Azure AI Content Safety Studio offers comprehensive dashboards designed to efficiently monitor online activities within your generative AI applications. It enables you to oversee prompts and completions, identifying harmful content across four key categories: Violence, Hate, Sexual, and Self-harm. Additionally, the studio provides detailed analytics on rejection rates per category, their distribution, and other crucial metrics, ensuring a safe and secure online environment for users:

Figure 8.4 – AI detection

Summary

In this chapter, Security and Privacy Considerations for Generative AI, we discussed applying security controls in your organization, learned about security risks and threats, and saw how some of the safeguards that can be put in place by cloud vendors can protect you and your organization.

You learned security is a shared responsibility, where you/your organization have a key role to play. Many of the tools are available, and this field of securing generative AI, LLMs, and all related services while protecting privacy is ever growing.

In the next chapter, Responsible Development of AI Solutions, you will learn that generative AI is at a critical stage where additional regulations and reviews are required to help ensure that generative AI is developed, deployed, and managed responsibly and securely. Our hopes are to keep generative AI secure and trusted so that, in turn, generative AI will help improve every facet of our lives.

Leave a Reply

Your email address will not be published. Required fields are marked *