Data Protection for Gen AI Applications

This whitepaper focuses on how Protecto enhances privacy and security in AI applications by replacing sensitive data with non-sensitive placeholders. It also addresses the implementation of role-based access and data governance to reduce data leak risks.

Key topics covered:

  • Data protection challenges in AI applications.
  • Limitations of traditional data protection methods like encryption and masking for AI.
  • Specific challenges of role-based access in large language models.
  • Protecto's tailored solutions for data protection across AI development stages.
  • Case studies demonstrating Protecto's effectiveness in protecting sensitive data within AI applications.
Download-now
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Trusted by the world’s fastest growing companies including

Follow us on      LinkedIn | Twitter | YouTube

Follow us on      
LinkedIn | Twitter | YouTube

Prevent millions of $ of privacy risks. Learn how.

We take privacy seriously.  While we promise not to sell your personal data, we may send product and company updates periodically. You can opt-out or make changes to our communication updates at any time.