Do you know which AI
tools your team uses at work, and what information they feed into them? Most
business owners in Lawton and Duncan think they do. Then we dig a little
deeper, and the picture shifts fast.
Generative AI tools like
ChatGPT and Gemini have slipped into daily work at remarkable speed. They draft
emails, sum up documents, brainstorm ideas, and solve problems faster than
anything before them. The trouble is, they arrived so quickly that governance
never caught up.
A recent industry report
paints a sobering picture. AI usage inside companies tripled in one year.
People do not just test the tools anymore. They rely on them every day. Some
firms send tens of thousands of prompts every month, and at the high end, usage
runs into the millions.
On the surface, that
looks like productivity. Underneath, it is something else.
The shadow AI problem
Nearly half of the people
using AI tools at work do so through personal accounts or apps the company
never approved. People call this shadow AI. It means staff upload text, files,
and company data into systems the business does not control, cannot see, and
cannot audit. That is where the risk takes hold.
When someone pastes
information into an AI tool, they do not just ask a question. They share data.
Sometimes that data includes customer details, internal documents, pricing
information, intellectual property, or even login credentials. Often, nobody
realizes it happened.
Incidents where sensitive
data leaks into AI tools doubled in the last year. The average company now sees
hundreds of these events every month. Because personal AI apps sit outside
company controls, they have become a real insider risk. Not malicious insiders.
Well-meaning staff are trying to move faster.
Where businesses get caught
Many business owners in
Southwest Oklahoma think AI risk looks like a hacker breaking in from the
outside. In reality, it often looks like an employee pasting the wrong thing
into the wrong box at the wrong time. There is also a compliance angle. If you work
in a regulated industry or handle sensitive customer data, uncontrolled AI use
can put you in breach of your own policies, or someone else's rules, before
anyone notices.
As sensitive data flows
into AI tools nobody approved, governance becomes harder to maintain. At the
same time, attackers now use AI themselves to sift leaked data and build
sharper phishing and fraud attempts.
What good governance looks like
The answer is not banning
AI. That ship has sailed. The answer is also not pretending AI is harmless. The
real answer is governance. So you need to decide which AI tools are safe for
work use, set clear rules on what staff can and cannot share, and put visibility
and controls in place so data does not drift where it should not go. You also
need to train your team on the risks in a practical, grown-up way.
AI is already part of how
work gets done in Lawton, Duncan, and across Southwest Oklahoma. Ignoring it
does not make it safer. Governing it does.