Imagine a financial service organization that uses a chatbot to help customers resolve their account-related queries. The chatbot requests your personal data, such as email addresses or mobile numbers, to verify the user’s information before providing account details or resolving issues.

An organization that uses chatbots to handle its customers’ personal information must ensure the application’s security. At this point, AI-based application penetration testing is employed.
AI-based application penetration testing is the process of testing AI applications for vulnerabilities, security risks, or any possible attack on the application. This involves assessing the security of AI models, the data they process, and the system they are integrated with. Furthermore, penetration testing aims to make sure that the application is safe for the users and that their information remains confidential.<br>
Therefore, Qualysec is organizing a webinar to help you understand AI-based application penetration testing and why it is necessary to secure advanced applications.