As Generative AI Grows, Data Security Controls Are Critical

The increased implementation of artificial intelligence systems across operations creates transformative opportunities for businesses. But AI also carries a critical price tag: an urgent need to protect these systems from threats that traditional security controls often fail to fully address.

A modern approach to AI security demands a defence-in-depth strategy that spans secure data ingestion, model training and deployment, infrastructure hardening, and continuous monitoring.

Here is a look at data security controls businesses should consider incorporating as a foundational layer to protect generative AI systems.

How to protect your business

Generative AI platforms are reshaping productivity and decision making across sectors, but also come with distinct risk vectors like: