Definition
Secure AI systems refers to the design, development, and deployment of artificial intelligence technologies with a primary focus on safeguarding against threats and vulnerabilities. This involves implementing robust security measures throughout the AI lifecycle, from data collection and model training to inference and operational deployment. These systems work by integrating security principles like data privacy, model integrity, and adversarial robustness into the core AI architecture. Applying secure AI practices is crucial for maintaining trust, preventing malicious manipulation, and ensuring the ethical and reliable performance of AI applications in sensitive environments. For instance, a secure AI system for medical diagnosis would incorporate differential privacy to protect patient data while ensuring diagnostic accuracy. Unlike general AI development, secure AI explicitly prioritizes threat modeling and mitigation strategies. Concepts related to secure AI are increasingly appearing in cybersecurity certifications like CompTIA Security+ and advanced AI governance domains.