AI in the Workplace: Between Efficiency and Risk - What Companies Must Do Now

December 4, 2025
2
min read

Generative AI has taken over the workplace at rapid speed. Whether ChatGPT, Gemini or Claude - AI-based tools enable employees to work more productively, simplify processes and solve complex tasks faster.

But what starts as an efficiency gain can quickly become a serious threat to company data and intellectual property.

The Samsung Case – A Cautionary Tale

A particularly striking case made headlines worldwide in 2023: Employees of technology giant Samsung had entered internal information such as source code, product quality test data (e.g., yield rate) and even meeting minutes into ChatGPT to get quick help with error diagnosis or optimization. What initially seemed like clever use of modern technology turned out to be a serious security breach: The sensitive information could potentially be permanently stored in the AI model's training data or logs.

The company's reaction was clear: Access to ChatGPT and similar tools was restricted or completely banned for employees.

A Structural Problem: Technology Faster Than IT Security

The example shows: While employees increasingly recognize the benefits of generative AI and use it in their daily work, the organizational structure of companies is not keeping pace. There are no clear guidelines, secure environments or technological solutions to protect confidential data.

The consequences can be serious:

  • Loss of intellectual property
  • Endangerment of patents and innovations
  • Disclosure of source code or internal development processes
  • Loss of trust with customers and investors

Misconception: Public AI is Safe Enough

A widespread misunderstanding is that tools like ChatGPT can be safely used in the browser as long as obvious secrets are not disclosed. But simply inserting internal phrasings, structured data or strategic considerations can be enough to potentially allow conclusions about business secrets.

Even though providers like OpenAI assure that sensitive data is not used for training – security gaps, user errors or human mistakes can never be completely ruled out.

The Solution: Internal, Controlled AI Infrastructure

The only sustainable answer to this dilemma is: Build your own, secure AI solutions. Companies must move away from using public platforms and instead invest in internal AI systems that:

  • Run on company-owned servers
  • Clearly regulate access rights
  • Are secured through data encryption and logging
  • Are individually adapted to the company's processes and data structure

The introduction of AI assistants is inevitable. What matters is not the use itself, but how it happens: consciously, securely and with foresight. Companies that develop a strategy early benefit twice over – through efficiency and through trust.

The step from theory to practice doesn't have to be complex. Book a free consultation with our sales team today to discuss how you can introduce a secure, customized AI solution for your company.

Schedule a conversation with our AI experts now: https://meetings-eu1.hubspot.com/malik-naveed/?uuid=e136de5c-18fa-4cd2-9bad-6e8680950e0b