Tag: AIAdoption

As businesses accelerate the use of generative AI tools, cybersecurity teams face a growing reality. Traditional Data Loss Prevention (DLP) controls were never designed for the way employees now use Artificial Intelligence (AI). For years, DLP strategies focused on monitoring structured data. They tracked information moving through predictable channels such as email, USB devices, printing, and file transfers.

There is a narrative building around artificial intelligence (AI) that deeply concerns me. It is a narrative rooted in fear. People fear being replaced. They fear being left behind. They fear not understanding the technology. They also fear experimenting and getting it wrong. Yet, from where I sit, AI is not something we can afford to fear from the sidelines. Instead, we need to engage with it. We need to learn from it, play with it, challenge it, shape it and adopt it.

Organisations often rush into Artificial Intelligence (AI) without a clear strategy or the right internal capability. As a result, they risk overpromising, underdelivering, and damaging their credibility in the market. These risks undermine long-term AI success and weaken stakeholder confidence.