AI Security refers to the technologies, practices, and controls used to protect artificial intelligence systems, models, training data, and AI-powered applications from attacks, misuse, manipulation, and unauthorized access. It addresses risks such as prompt injection, model theft, data poisoning, adversarial inputs, and sensitive information leakage.
AI Security is particularly important when AI systems process confidential business data or make decisions in areas such as finance, healthcare, cybersecurity, and enterprise operations. It combines traditional cybersecurity with AI-specific safeguards, including model monitoring, access controls, input validation, and techniques for detecting abnormal or malicious behavior.
