1. Security Threats from Generative AI
Posted: Mon Feb 10, 2025 3:05 am
The Five Biggest Threats to Data Democratization
27.10.2023
Democratization of data is a top priority for many businesses, writes Adi Hod, co-founder and CEO of Velotix, on Datanami.
When employees have easy access to data, they can make decisions faster, collaborate better, and gain important insights. Companies around the world are increasingly realizing how valuable their data can be, but many are using less than half of their data because they don’t have an effective way to access it.
Businesses are struggling to make data albania mobile database sensitive information. New security threats are creating barriers to accessing data, which is slowing its opening to everyone. Here are some examples of how these security threats are limiting businesses’ ability to make the most of their data:
While generative AI opens up entirely new horizons of possibilities, it also poses significant risks to organizations, threatening the security and privacy of proprietary data. Several ChatGPT data breaches reported this year have raised concerns that AI technology is vulnerable to cyberattacks. Since ChatGPT cannot be downloaded and is accessed through a web browser, sensitive information or user data stored in conversation logs could be compromised by hackers.
Every time a user types data into a ChatGPT prompt, that information is fed into the service’s large language models (LLMs), which are used to train the next version of the language processing algorithm. Without proper protection, the information can be accessed by unauthorized parties. Enterprises are trying to find ways to exploit the tool’s capabilities without increasing the risk of data leakage.
27.10.2023
Democratization of data is a top priority for many businesses, writes Adi Hod, co-founder and CEO of Velotix, on Datanami.
When employees have easy access to data, they can make decisions faster, collaborate better, and gain important insights. Companies around the world are increasingly realizing how valuable their data can be, but many are using less than half of their data because they don’t have an effective way to access it.
Businesses are struggling to make data albania mobile database sensitive information. New security threats are creating barriers to accessing data, which is slowing its opening to everyone. Here are some examples of how these security threats are limiting businesses’ ability to make the most of their data:
While generative AI opens up entirely new horizons of possibilities, it also poses significant risks to organizations, threatening the security and privacy of proprietary data. Several ChatGPT data breaches reported this year have raised concerns that AI technology is vulnerable to cyberattacks. Since ChatGPT cannot be downloaded and is accessed through a web browser, sensitive information or user data stored in conversation logs could be compromised by hackers.
Every time a user types data into a ChatGPT prompt, that information is fed into the service’s large language models (LLMs), which are used to train the next version of the language processing algorithm. Without proper protection, the information can be accessed by unauthorized parties. Enterprises are trying to find ways to exploit the tool’s capabilities without increasing the risk of data leakage.