AI-powered content generation introduces security risks, including data leakage, prompt injection, adversarial misuse, and compliance gaps. Companies using AI APIs from providers like OpenAI and Claude must address these vulnerabilities to prevent unauthorized data access and model exploitation.

This session breaks down real-world attack scenarios, including users manipulating AI prompts to extract sensitive information and API endpoints being exploited for adversarial attacks. We will introduce a structured AI security framework and a conceptual product design for mitigating these risks.

Attendees will learn how to implement real-time AI monitoring, enforce API-level security controls, and automate content governance to protect their systems without limiting AI-driven innovation.