Youtube

Securing AI Systems: Protecting Data, Models, & Usage

Youtube
Securing AI Systems: Protecting Data, Models, & Usage

This video discusses a comprehensive approach to securing AI systems by using a donut-shaped defense model that includes discovery, assessment, control, and reporting capabilities. It emphasizes the importance of identifying shadow AI, scanning models for vulnerabilities, preventing prompt injection attacks, and ensuring regulatory compliance. #ShadowAI #PromptInjection

Keypoints :

  • AI security should encompass discovery, assessment, control, and reporting to form a complete defense layer.
  • Discovering all AI usage across platforms, including shadow AI, is crucial for effective security.
  • Conducting vulnerability scans, posture management, and penetration testing on AI models helps identify and mitigate risks.
  • Controls such as AI gateways can prevent prompt injection attacks and enforce safe usage policies.
  • Guarding against privacy violations involves monitoring both incoming prompts and outgoing sensitive data.
  • Using dashboards for visualization supports risk management and prioritization of security threats.
  • Ensuring compliance through audit and policy reports is vital for maintaining trusted AI environments.