Definition
Securing AI Systems refers to the comprehensive set of practices and technologies employed to protect artificial intelligence models, data, and infrastructure from threats. This involves implementing robust security controls throughout the AI lifecycle, from data preprocessing and model training to deployment and ongoing monitoring. By proactively addressing vulnerabilities, organizations can ensure the integrity, confidentiality, and availability of their AI solutions, preventing malicious actors from compromising their functionality or manipulating outcomes. For instance, securing an AI system might involve encrypting training data and using access controls to prevent unauthorized model modifications. This differs from general cybersecurity by focusing on AI specific risks like adversarial attacks and data poisoning. Understanding Securing AI Systems is crucial for roles covered in certifications like CompTIA Security+ and AWS Certified Solutions Architect.