Securing AI factories: Why enterprise-grade cybersecurity is becoming foundational to AI adoption

As enterprises and service providers accelerate the deployment of generative and agentic AI systems, cybersecurity is emerging as a defining constraint on how quickly, and safely, AI can scale. From model training and inference infrastructure to applications and end-user interactions, the AI pipeline is expanding the enterprise attack surface in ways traditional security architectures were never designed to handle.

Industry data already points to this shift. A recent study cited by Gartner indicates that nearly one-third of organisations have experienced attacks involving prompt manipulation, while close to 30% have faced direct attacks on their generative AI infrastructure over the past year. At the same time, confidence remains low: research from Lakera shows that fewer than one in five organisations describe their GenAI security posture as highly mature.

These trends underline a growing consensus among security leaders that AI adoption requires rethinking cyber defence—not as an add-on ...