AI Security

Protect AI systems from emerging threats and adversarial attacks in an increasingly complex security landscape. Learn to implement secure AI practices throughout the development lifecycle, from data collection to model deployment. Master the dual approach of securing AI systems against vulnerabilities and leveraging AI for advanced cybersecurity defense mechanisms.

Explore critical security challenges including adversarial machine learning, model poisoning, data privacy breaches, and AI-powered social engineering attacks. Gain hands-on experience with defensive techniques such as adversarial training, model hardening, differential privacy, and secure federated learning that protect sensitive data and ensure model integrity.

Through real-world threat scenarios and penetration testing exercises, you'll develop expertise in vulnerability assessment, threat modeling for AI systems, security monitoring, and incident response. Learn to deploy AI-powered security solutions including anomaly detection, intrusion prevention systems, automated threat intelligence, and behavioral analysis tools.