Achieve AI-powered API Privacy Using Open Source

Explore AI-powered API privacy implementation using open-source tools in this 57-minute LASCON conference talk. Delve into Privacy-by-Design principles within a Secure Development Lifecycle, examining the impact of privacy regulations on the software industry. Learn to apply DevSecOps approaches to privacy, integrate threat modeling for risk control, and leverage security defense strategies to protect customer data. Gain insights into Deep Neural Networks and their application in addressing privacy concerns. Follow a live demonstration using TensorFlow, Keras, and PrivAPI to detect sensitive data flows in APIs. Understand key concepts including GDPR, grassroots approaches, synthetic data generation, and AI-driven privacy predictions through a comprehensive syllabus covering challenges, modeling, prototyping, and testing.

Intro
What is GDPR
What is a grassroots approach
What is privacy by design
Challenges
Model
Prototype
Synthetic Data
Faker
Vectorize
Prediction
Testing