About Webinar

The rapid advancement of AI brings incredible opportunities, but also new security challenges. Large Generative Models, while powerful, can memorize large datasets and become targets for malicious activities.

Our Senior ML Scientist, Shubham Jain, will guide you through practical steps to safeguard your AI models.

Key Takeaways

• Understanding Vulnerabilities in Large Models
  Learn about common security risks associated with large generative models.

• Preventing Data Abuse
  Explore how to safeguard your models against data manipulation techniques like backdoors and prompt injection attacks.

• Protecting Model Integrity
  Discover methods to prevent the extraction and misuse of sensitive training data.

• Securing API Access
  Understand strategies to prevent unauthorized use and exploitation of your model’s APIs.

• Addressing Common Challenges
  Gain insights into handling issues like hallucinations and ensuring the reliability of your AI systems.