With the explosion of artificial intelligence tools, especially large language models (LLM) like ChatGPT, a new trend is emerging in companies: Shadow LLM. This term refers to the discreet use of these tools by employees, often without the company’s validation or supervision.
According to Gartner, by 2024, 38% of employees are already using these tools without informing their organization. Why? Because they enable them to:
However, this "under-the-radar" adoption is not without risks.
When employees ask questions to a language model, they might inadvertently share confidential information. These data, stored on external servers, fall outside the company’s control.
While LLMs are powerful, they can produce biased, inaccurate, or incomplete responses. Without validation, these outputs can lead to errors in decision-making.
The use of unvalidated tools may violate regulations such as GDPR, exposing the company to significant fines or loss of trust from clients and partners.
Rather than banning these tools, the challenge is to integrate them into a clear and secure strategy. Here’s how:
Explain the risks and best practices associated with LLMs. Train your employees to use these tools responsibly and avoid sharing sensitive information.
Provide AI tools that are approved and tailored to your business needs. Integrate these technologies in a secure framework that allows teams to innovate without compromise.
Specialists in AI can help you navigate this complex landscape. They ensure smooth integration of these tools, guarantee compliance, and maximize their strategic impact.
Shadow LLM is not just a challenge—it’s an opportunity. It highlights employees' appetite for faster and more efficient solutions. By intelligently managing this transition, you can turn this trend into a durable innovation driver.
How are you integrating AI into your teams?
Now is the time to support your employees in this revolution by investing in secure and strategic AI solutions.
jonathan
CEO - AI Strategist
jonathan.delmas@strat37.com
