Cybersecurity First, Artificial Intelligence Later

Cybersecurity First, Artificial Intelligence Later

The article highlights an important but often overlooked condition for implementing artificial intelligence in organizations: before a company starts using AI broadly, it should first organize the foundations of cybersecurity.

In practice, this means that AI should not be treated as a fashionable layer added on top of an unprepared organization. If a company already struggles with the security of traditional systems, processes, suppliers, data and access rights, AI implementation may only increase the scale of risk.

Artificial intelligence does not operate in isolation. It is another layer placed on top of the existing organizational architecture: data, processes, systems, permissions and responsibility.

If that base layer is chaotic, AI will not fix the problem. It may accelerate it, hide it or reproduce it on a larger scale. That is why the right implementation sequence should start with data security, access control, process management and clear rules for using AI.

This is a good example of an approach in which AI is treated as an element of organizational maturity, not as a standalone technological miracle.