AI Security refers to the practices, technologies, and controls designed to protect artificial intelligence systems, machine learning models, and the data they process from cyber threats, misuse, and unauthorized access. As organizations increasingly adopt AI to automate business processes and decision-making, securing AI environments is essential to prevent data leaks, model manipulation, adversarial attacks, and unauthorized use of AI capabilities.
What do AI Shield do?
Protects AI systems, machine learning models, and sensitive data from cyber threats while ensuring secure, reliable, and trustworthy AI operations.
Secure access to AI systems: Implement strong identity and access management (IAM), multifactor authentication (MFA), and role-based access controls to prevent unauthorized access to AI platforms and models.
Protect AI data and models: Encrypt training data, model artifacts, and AI-generated outputs both in transit and at rest to safeguard sensitive information from theft or tampering.
Monitor AI activity: Continuously monitor AI applications, model behavior, and user activity to detect anomalies, misuse, adversarial attacks, or unauthorized changes in real time.
Maintain AI systems: Regularly update AI frameworks, libraries, and supporting infrastructure to address security vulnerabilities and reduce the risk of exploitation.
Establish AI governance: Implement policies for responsible AI usage, validate training data, and educate users on secure AI practices to minimize operational and compliance risks.
Detect and respond to AI threats: Deploy continuous threat detection, logging, and incident response processes to quickly identify, contain, and recover from AI-related security incidents while maintaining business continuity.