{"id":32442,"date":"2025-11-03T05:00:00","date_gmt":"2025-11-03T04:00:00","guid":{"rendered":"https:\/\/sii.pl\/blog\/?p=32442"},"modified":"2026-02-18T15:55:27","modified_gmt":"2026-02-18T14:55:27","slug":"intelligent-boundaries-how-to-use-ai-without-losing-control","status":"publish","type":"post","link":"https:\/\/sii.pl\/blog\/en\/intelligent-boundaries-how-to-use-ai-without-losing-control\/","title":{"rendered":"Intelligent boundaries: How to use AI without losing control"},"content":{"rendered":"\n

This article aims to explain the situation surrounding AI, specifically the dangers associated with it. Everything is based on real data, with the hope of convincing readers to carefully review what they share, so they don’t cause problems for themselves or their company.\u200b<\/p>\n\n\n\n

AI in everyday life<\/strong><\/strong><\/h2>\n\n\n\n

Most people use artificial intelligence services daily. AI has become an inseparable part of the modern workplace, offering unprecedented opportunities for increased productivity and innovation. But what if its involvement brings significant challenges in data security, regulatory compliance, and risk management? 88% of data<\/a> breaches are due to employee errors, showing how widespread the lack of awareness is [1<\/a>]<\/p>\n\n\n\n

Current state and key challenges<\/strong><\/strong><\/h2>\n\n\n\n

A good example of AI content control is Microsoft. Everything generated by AI goes through a strict multi-level review process, which in their case is particularly demanding, as Satya Nadella (CEO of Microsoft) claims<\/a> that as much as 30% of code is currently written by artificial intelligence [2<\/a>]\u00a0<\/p>\n\n\n\n

Unfortunately, not all companies follow Microsoft’s example, and this rapid development represents a leap that comes with serious security challenges for many organizations. Only 27% of companies<\/a> review AI-generated content before using it, which highlights a significant gap in quality control and security processes [3<\/a>]<\/p>\n\n\n\n

The problem of Shadow AI<\/strong><\/strong><\/h2>\n\n\n\n

A concerning phenomenon is the rise of so-called Shadow AI. What is Shadow AI? It involves employees using artificial intelligence tools without formal approval or oversight from IT and security departments. It’s an evolution of the previously known Shadow IT, but with far greater consequences and risks. 11% of data pasted by employees into ChatGPT<\/a> is classified as confidential [4<\/a>]\u00a0<\/p>\n\n\n\n

Let’s look at this through an example.\u200b<\/p>\n\n\n\n

Example of Shadow AI: The story of Mr. Mark<\/strong><\/strong><\/h2>\n\n\n\n

Meet Mr. Mark, a hypothetical Marketing Specialist<\/strong>. Mr. Mark works in a mid-sized IT company in Krak\u00f3w as a marketing specialist. He’s ambitious, loves new technologies, and continually seeks ways to enhance his productivity. Here’s how he gradually fell into the Shadow AI trap.<\/p>\n\n\n\n

Week 1 \u2013 innocent beginning<\/strong><\/strong><\/h3>\n\n\n\n

Mr. Mark is supposed to write a newsletter to clients, but he’s lacking inspiration.<\/strong><\/p>\n\n\n\n

What he did:<\/strong> He opened ChatGPT on his personal account, pasted a product brief, and asked for help writing the newsletter. He received a great text in several minutes instead of spending two hours on work.<\/p>\n\n\n\n

Result: <\/strong>The newsletter was sent at 9:00 instead of 11:00. The boss is happy, and the clients are delighted.<\/p>\n\n\n\n

Week 2 \u2013 growing appetite<\/strong><\/strong><\/h3>\n\n\n\n

Mr. Mark was thrilled with the effectiveness. He started using ChatGPT for more specific tasks:<\/p>\n\n\n\n