AI Model Security

AI model security refers to the strategies and practices used to protect artificial intelligence (AI) models from threats, misuse, and vulnerabilities throughout their life cycle. It involves securing the model, its training data, and the systems it interacts with to prevent attacks such as data poisoning, model theft, adversarial inputs, or unauthorized access. AI model security ensures that models perform as intended, maintain integrity and safeguard sensitive information – especially in high-stakes applications like finance, healthcare and critical infrastructure. It is a key part of responsible AI governance and risk management.