Shadow AI: The silent data leak in your company

In the era of rapid artificial intelligence development, tools like ChatGPT or Google Gemini have become an inseparable part of our work. They make writing emails, creating reports, and even programming easier. But have you ever wondered what happens to the data you entrust to them? This is where the problem arises:
Shadow AI - uncontrolled sharing of confidential company information in public chatbots.

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Chilling statistics

The phenomenon of Shadow AI is not a marginal problem. It is a real business risk that is growing at an alarming pace. Losing control over data in public large language models (LLMs) comes with the risk of leaking confidential information (PII/IP) and lack of oversight over external communication. High costs of manual "knowledge management" and the absence of audits are additional challenges companies face.

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How shadow AI works and why it is so dangerous

Imagine an IT employee, wanting to speed up code debugging, pastes a fragment of it into a chatbot. Or a manager, asking for a summary of a financial report, uploads confidential sales data. Public chatbots use this information to train their models. This means that your company's confidential data becomes part of a global knowledge base, accessible to anyone.

All it takes is someone asking the right question for the bot to "remember" and share information you once provided. In this way, what seems like an innocent action leads to uncontrolled data leaks, which can have catastrophic consequences for your company’s reputation, market position, and financial security.

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Secure AI - end data leaks!

Fortunately, there is a solution that allows you to fully leverage the potential of artificial intelligence without taking risks. Our company has created Secure AI - a safe, personalized AI that operates within your infrastructure.

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Key features of secure AI:

• Full compliance with regulations: Secure AI complies with GDPR, ISO 27001, and TISAX, and is also designed for compliance with the EU AI Act. Public AI cannot guarantee full compliance with these regulations.
  
  
• No data transfer: Data never leaves your company. The solution can be deployed on-premises, in a private cloud, or in a hybrid model, and data is encrypted end-to-end. In public AI, data is transferred to a public cloud.
  
  
• Full auditability: Secure AI provides full query auditability through logs and activity history. Such audits are not possible with public AI models.
  
  
• Access control: It is possible to manage access for internal groups using RBAC/ABAC models. Public AI does not offer such control.
  
  
• Model personalization: You can fully customize the model and its logic using your own prompts and data sources.
  
  
• System integration: With API-first architecture and ready-made connectors, Secure AI easily integrates with any system, such as SharePoint, CRM, or ERP.
  
  
• Fast deployment: Thanks to ready-made industry modules, deployment is quick, and launch is possible in just 2 months.
  
  

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Secure AI comprehensive products:

• Secure AI Text: Text/LLM models that enable automation of text tasks.
  
  
• Secure AI Voice: Speech models (STT/TTS, voicebot/IVR) for automating customer service.
  
  
• Secure AI Vision: Image generation and analysis.
  
  
• Secure AI Predict: Data predictions and analytics.
  
  
• Secure AI Data Chat: A solution that allows conversational access to company data, eliminating the need to constantly ask analysts.
  
  

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Real numbers, real benefits

Implementing Secure AI delivers tangible benefits, as confirmed by real data and case studies. In the retail sector, stock shortages decreased by 40% and sales increased by 7%. In banking, personalization brought in 100 million USD in annual revenue. Complaint handling saw a reduction in operational costs by 20%.

Secure AI can also lead to significant operational savings. A sample calculation shows that in a team of 50 people, each spending an average of 50 minutes daily searching for information in documents and systems, this amounts to approximately 10,500 hours per year. In terms of labor costs, this equals nearly 945,000 PLN. After implementing Secure AI Data Chat – considering an annual subscription of 44,250 PLN and a one-time implementation cost of around 295,000 PLN – annual savings can reach up to 605,750 PLN, which translates into an ROI of around 178%. In practice, this means that instead of spending time manually searching company resources, employees can ask questions in natural language and immediately receive answers based on organizational data.

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Think about the future of your company

Shadow AI is a serious, but often underestimated threat. Don’t wait until your company’s confidential data leaks into the public domain. Choose a solution that combines innovation with absolute security. Choose Secure AI and ensure your company’s future is safe.

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