Intelligent chat tools have made themselves at home in the workplace. In many cases, that is for the better — but beware the worst. The impressive capabilities of ChatGPT and its peers are time-saving machines. But these AI tools also conceal new and potentially critical risks for SMEs, particularly in terms of cybersecurity. An overview.
When it comes to generative AI tools like ChatGPT, many dangers come to the surface: loss of intellectual autonomy, disinformation, reinforcement of biases, algorithmic opacity or job destruction. In the blind spot of these debates sits their use in a professional environment — generally without management approval and even less often in any structured framework. Yet this “shadow” usage exposes SMEs to multiple risks.
1. ShadowGPT is haunting your cybersecurity
The story made headlines: despite their good intentions, Samsung employees entered source code and confidential meeting content into ChatGPT, putting the giant’s secrets at risk. An isolated case? Certainly not — these practices have become everyday reality. Strategic plans, client data, financial information, internal rules: everything goes into the machine and remains “forever” in the depths of the algorithms. These “voluntary” leaks of potentially sensitive data are a new kind of scourge, one that escapes management control and demands maximum attention.
2. AI platforms are technical sieves
Again, it only takes a glance at the news to see that chatbots suffer from regular bugs that expose the data of millions of users. These vulnerabilities reveal the fragility of the platforms and, in turn, the vulnerability of the businesses using them. As with the outage that struck Microsoft, a single external incident can undermine the trust of clients, partners, and more. Not to mention the risk of cyberattacks. In all these cases, when an SME loses control over its tools, it exposes itself to the worst.
3. The ethical and legal trap
Entering a client list, billing information or confidential content into ChatGPT, Meta AI or Grok is far from a harmless act. Under GDPR, this can raise ethical questions as well as issues around security, consent, data collection and processing. Yet businesses bear a legal responsibility and are required to be transparent on these matters — but how can you be transparent when employees act entirely outside any framework?
4. Intellectual property at risk
Once ChatGPT, Claude or GitHub Copilot gets hold of data, it is ‘memorised’ and can resurface in responses given to other users. These tools even have the ability to index ‘useful’ conversations — possibly yours — on Google. While certain trade secrets may be well protected against traditional risks, many people still do not see the ‘danger’ of sharing them with their favourite chatbot. Yet the risk of diluting or disclosing intellectual property is real.
Solutions within reach of SMEs
Generative AI is transforming productivity, but exposes SMEs to new and still underestimated security risks. The urgent priority? Managing usage — notably through staff training, creating usage guidelines and using appropriate control tools. Generative AI is not the enemy, but it demands new safeguards.
