Mini toolsDefinition
The practice of protecting AI systems models and data from malicious attacks while ensuring ethical deployment and use.
Detailed Explanation
AI Security encompasses the strategies tools and practices used to protect artificial intelligence systems throughout their lifecycle. This includes safeguarding training data model architectures and deployment infrastructure against various threats while ensuring privacy fairness and transparency. It involves both defensive measures against attacks and proactive security considerations in AI system design.
Use Cases
Financial fraud detection systems Healthcare data protection Autonomous vehicle security Critical infrastructure protection
