What security issues do we need to consider when using GenAI in enterprise applications?

There are several security concerns to consider when using GenAI in enterprise applications:

• Data Leakage: GenAI models are trained on massive amounts of data, and if not properly secured, this data can leak, exposing sensitive information, intellectual property, or even regulated data. This can lead to breaches of confidentiality and privacy violations.

• Unauthorized Disclosure: Even with proper security measures, GenAI applications can be misused by employees. As GenAI becomes more integrated into daily tasks, there’s a risk of sensitive data being accidentally or even intentionally exposed.

• Malicious AI Attacks: Hackers can leverage GenAI to create more sophisticated malware that bypasses traditional security measures. They can also use GenAI to create deepfakes or other convincing content for social engineering attacks.

• Copyright Infringement: Since GenAI models are trained on existing data, there’s a possibility of them infringing on copyrights. This can lead to legal issues, especially if the generated content is used commercially.

• Bias and Fairness: GenAI models can inherit biases from the data they are trained on. This can lead to unfair or discriminatory outputs, impacting everything from hiring decisions to marketing campaigns.