Pentesters Chat: Breaking into AI and Machine Learning Systems

On this episode of Pentesters Chat, the team explores the distinct security vulnerabilities that arise when testing AI/ML systems compared to traditional systems.
Adversarial Attacks: Understand how adversarial inputs can manipulate machine learning models, and how pentesters can exploit this weakness.
Model Inference: Discuss techniques for reverse-engineering AI models and extracting sensitive data, including training datasets.
Defense Strategies: Share insights on strengthening AI/ML systems against common attack vectors and building more resilient models.