Generative AI Tools Pose Insider Data Breach Risk, Experts Warn

Generative AI Tools and insider data breaches

Generative AI tools, which are based on large language models (LLMs), are expected to lead to multiple major insider data breach incidents in the next 12 months.

LLMs are trained on massive datasets of text and code and can be used to generate realistic and highly convincing text, code, and other creative content. This makes them attractive for a variety of tasks, including writing marketing copy, generating product descriptions, and even writing code.

However, the same capabilities that make LLMs so useful also make them a potential risk for insider data breaches. For example, an employee could use a generative AI tool to generate fake documents or code that contain sensitive data. They could then share this data with unauthorized third parties, or use it to commit fraud or other malicious activities.

Imperva’s research found that many organizations are not aware of the insider data breach risks posed by these AI tools. In fact, only 30% of organizations have a formal insider risk strategy in place.

How to mitigate the risks

Organizations can take steps to mitigate the insider data breach risks posed by generative AI tools. These steps include:

  • Implementing data visibility and inventory tools to identify and track all of their data assets.
  • Classifying data assets based on their sensitivity and importance.
  • Investing in improved data monitoring and analytics tools to detect and investigate suspicious activity.

Imperva’s solutions

Imperva provides a variety of solutions that can help organizations mitigate the insider data breach risks posed by generative AI tools. These solutions include:

  • Data visibility and inventory tools
  • Data classification tools
  • Data monitoring and analytics tools

By implementing these solutions, organizations can help protect their data from insider data breaches.

What you can do

If you are an organization that uses generative AI tools, you can take the following steps to protect your data from insider data breaches:

  • Educate your employees about the risks of using generative AI tools.
  • Implement policies and procedures to restrict the use of such AI tools.
  • Implement data visibility and inventory tools.
  • Classify your data assets.
  • Invest in improved data monitoring and analytics tools.

By taking these steps, you can help protect your data from insider data breaches.

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