What is GenAI Security?

Prompt Team
December 30, 2023

Generative AI or GenAI Security encompasses all the measures, technologies, policies, and security controls to protect an organization from risks associated with the use of Generative AI.

In this short post we will cover the basics of GenAI Security.

But first, what is Generative AI? 

Generative AI simply refers to any algorithm, usually a deep neural network, that can generate new content, from text to images, based on its training data. These AI models, including GPT and DALL-E, are known for their creativity and efficiency but also raise security concerns.

Now, let's talk about GenAI Security!

GenAI Security encompasses everything you need to implement to ensure that your organization is not harmed by GenAI, in simple terms.

What are the risks associated with GenAI?

GenAI Security risks can be mainly divided into two areas:

  1. ‘Usage ‘ - Protecting your company from employees and applications using third-party GenAI apps such as ChatGPT or Jasper.
  2. ‘Integration’ - Protecting your company from your own first-party GenAI apps (which could be either using 1st or 3rd party LLMs.)

When it comes to the ‘Usage’ of GenAI apps by employees in the organization to help them with their tasks and workflows, there are several associated risks. Some of them are:

  • Shadow AI: Adoption, usage, and integration of various GenAI tools without any visibility to security teams, opening the door for data exfiltration and exposing critical company assets and IP.
  • Sensitive data disclosure or leakage through user prompts: Once sensitive data from the organization is being streamed to these GenAI tools, there's a significant probability that this data will be used for future training of the LLMs and potentially be generated by these tools on external endpoints.

In the case of the ‘Integration’ of GenAI capabilities and features into customer-facing apps, you’d want to protect your company from multiple risks, including:

  • Prompt Injection: When attackers manipulate a large language model (LLM) through carefully crafted inputs to behave outside of its desired behavior. This manipulation, often referred to as "jailbreaking," tricks the LLM into executing the attacker's intentions, while ignoring its developer’s design. A malicious actor could craft a prompt, not necessarily too sophisticated, and expose sensitive data. But it can go as far as causing denial of service attacks, RCE or SQL injections, with the associated legal and financial implications.  
  • Toxic or harmful content: Prevent your users from being exposed to inappropriate, toxic or off-brand content generated by LLMs which can lead to reputational damage

Drilling down on the GenAI Risks probability

So we can all agree that the risk is high, but how probable is it?


In the case of internal ’Usage’, it is already widespread in almost any organization. From what we’ve seen in companies that have deployed Prompt, there are at least 50 different GenAI apps being used every week in the average organization.

In the case of the ‘Integration’ of GPT-capabilities for customer-facing apps, this is accelerating as the race to leverage Generative AI to foster innovation is key to remain competitive in any market today.

Bottomline: this new attack surface is significant, highly probably, and ever-growing.

What should I do to protect my organization from GenAI Risks?

Well, first and foremost, get familiar with this new attack vector. GenAI unlocks almost endless possibilities to innovate in any organization and make employee’s lives better, but it’s important to stay on top of the ever-growing number of risks and be informed and prepared accordingly.

There are numerous resources available for both AI and Security professionals. You can start by reviewing the OWASP Top 10 for LLM Applications.  

If you want to explore how you can navigate the GenAI risks in your organization and protect against them, book a demo with our experts

Share this post