What is the purpose of AI security controls?

• A. To monitor and ensure the security of AI systems and data throughout their life cycle.
• B. To design user interfaces.
• C. To increase data duplication.
• D. To improve marketing analytics.

Answer: (A)

Security controls for AI focus on protecting both the models and the data they rely on, across every stage from data collection and model training to deployment, operation, and updates or retirement. The goal is to prevent and detect threats, maintain privacy and data integrity, and ensure availability, so AI systems behave reliably and safely. This involves controls like strict access management, encryption, secure coding practices, data governance and provenance, ongoing auditing and monitoring, drift and anomaly detection, incident response planning, and supply chain security. By applying these protections throughout the AI life cycle, organizations reduce risks such as data poisoning, model leakage, adversarial manipulation, misconfigurations, and unauthorized access. The other options don’t address security concerns: designing user interfaces, increasing data duplication, or improving marketing analytics are separate objectives and not about safeguarding AI systems and data.