Picture this: An employee at a fast-growing company pastes a client contract into ChatGPT to get a summary faster. Or someone just opens a well-written email with in-depth, valuable information. The content reads perfectly, though it was created by AI, and they happen to click the link inside. Both parties never meant any harm. But unknowingly, both created a critical security risk.
With productivity a major KPI, AI is now a common part of daily work at most small and medium-sized businesses, regardless of leadership approval.
The Two-Sided Risk of Using AI in the Workplace AI creates risk in two directions.
Using AI Responsibly: Entering client data, credentials, and proprietary information into public AI tools can result in that data being stored or used to train future AI models. AI-produced content often sounds highly confident yet can be entirely wrong due to AI hallucinations, making it very easy to treat a polished answer as verified.
AI-Driven Cyberattacks: Attackers use AI to quickly craft phishing emails tailored to specific people, clone a familiar voice to make fraudulent phone calls, or generate fake invoices that appear genuine at a casual glance and get passed along.
Both directions point to the same solution: the vital need for employee cybersecurity training to build awareness of AI use and misuse in the workplace.
What You Should Do – Best Practices for Using AI Responsibly in the Workplace
An AI usage policy includes a few simple things that staff need to adhere to:· Never enter client data, credentials, or confidential information into public AI tools.
· Treat AI output as you would treat any information from a stranger: verify before you act on it or send it ahead for further processing.
· Use AI tools approved by your company only.
· Be aware that AI output can be confidently wrong. Fact-check anything important.
· Apply the same scrutiny to AI-generated content as you would to any external
