Protecting Sensitive Data & Maintaining Governance In The Age of Generative AI
Red Curry and Gal Nakash
May 3, 2023
As a security professional, one of our key responsibilities is to implement cybersecurity solutions, policies and governance that establish guidelines and procedures for handling sensitive data. Policies and governance should empower your users with confidence in their security, rather than limiting their use of powerful Generative AI applications like ChatGPT.
We all know that generative AI solutions like ChatGPT are not a secure platform for sharing sensitive information, such as personal identifying information (PII), financial data, or any other type of confidential data. It’s important to educate your users about the risks of sharing sensitive data with ChatGPT and the potential consequences of data leakage or a data breach. However, instead of simply limiting the use of ChatGPT for sensitive data, organizations should establish policies and governance that empower your users to make secure choices and increase business productivity.
By prioritizing the security and confidentiality of sensitive data, you can build trust and confidence with your customers. This can be achieved by implementing policies and governance that define the roles and responsibilities of different stakeholders in your organization, including employees, contractors, and third-party vendors. These policies should establish clear guidelines for handling sensitive data, including how to protect it, when and how to share it, and how to report any security incidents.
In addition, policies and governance should establish guidelines for incident response and data breach management, to minimize the damage and ensure that affected customers, partners, employees and shareholders are notified in a timely and transparent manner. This can help to maintain your customers’ trust and confidence in your organization’s ability to protect their sensitive data.
By implementing automated security solutions that are supported by robust policies and governance, organizations can streamline processes, reduce manual effort, and empower users with confidence in their security. Policies and governance can define the roles and responsibilities of different stakeholders, establish guidelines for handling sensitive data, and provide a framework for incident response and data breach management.
By combining these policies and governance with automated security solutions, organizations can protect sensitive data, comply with relevant regulations, and maintain the trust and confidence of their customers. This can lead to increased revenue and customer satisfaction, as customers are more likely to remain loyal to organizations that prioritize their data security and privacy.