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Why individual AI adoption is outpacing your strategy

That ChatGPT is most rapidly adopted tech in history is well known. What is less clear is why this is limited to individuals, or conversely why organisations are lagging behind.

This trend is not just troubling for lack of productivity, it is also impactful in terms of risk. As staff clearly use AI for work, it creates a multiple instances of unauthorised or “shadow IT”, which can weaken organisational defences and provide malicious actors with a rich attack surface.

Organisations can try it to police it, but in the era of ubiquitous connectivity that is unlikely to be effective. Clearly, it is now more risky not to deploy AI.

Three areas of risk and how to mitigate them

1. Prevent sensitive data leaks from AI tools

Your team is likely using Chatgpt to create and summarise content, often unaware that inputs may be stored or used to train models. Before sensitive data slips out, deploy secure AI Content Copilots. They provide the same productivity advantages, but in a controlled and compliant environment.

2. Protect your brand in the age of AI Search

As more online journeys begin with AI bots, not search engines, brand visibility and accuracy are at risk. Bots can misrepresent your message or hallucinate false information. Use monitoring tools like Rankbee to optimise your brand's appearance in AI-driven results and stay ahead of the narrative.

3. Stay ahead of deepfakes and legal risks

Generative AI can now produce realistic content that impersonates individuals without consent, opening the door to fraud and reputational damage. Use AI detection and monitoring tools to identify deepfakes, block exploits and avoid legal challenges before they escalate.