As organizations deploy more AI models, securing those systems is becoming a growing concern. Threats such as model manipulation, data poisoning, prompt injection, and unauthorized access are creating new security challenges.
Businesses are developing AI security frameworks to protect models, training data, and inference environments. Security teams are also adopting specialized monitoring tools designed to identify AI-specific threats.
Protecting AI systems is rapidly becoming as important as securing traditional IT infrastructure.
