Description

Artificial Intelligence is transforming industries, but the growing use of AI systems also introduces new cybersecurity risks. From data poisoning and prompt injection to model theft, adversarial attacks, and privacy concerns, securing AI requires a different approach alongside traditional cybersecurity practices.

This practical guide explains the fundamentals of AI cybersecurity, common threats targeting AI systems, and essential security measures for protecting AI models, data, applications, and infrastructure. Learn how secure AI development, access controls, data protection, monitoring, threat detection, and responsible AI practices can help reduce security risks.

Whether you are a beginner, cybersecurity professional, developer, or business leader, this guide provides a clear introduction to AI security and practical concepts for building safer and more resilient AI-powered systems.