AI Security

AI Security refers to the measures and protocols implemented to protect artificial intelligence systems from threats and vulnerabilities. This encompasses safeguarding the integrity, confidentiality, and availability of AI models, data, and infrastructure. Key characteristics include threat detection, risk assessment, and mitigation strategies tailored specifically for AI technologies. Common use cases involve securing machine learning models against adversarial attacks, protecting sensitive training data, and ensuring compliance with regulations. As AI systems become more pervasive, their security becomes paramount to avoid misuse and protect user privacy.