Think about it: every query, every document, every insight you feed into a cloud AI like ChatGPT or Gemini gets transmitted to remote servers. These platforms (run by massive corporations), often use your inputs to refine their models. Your exposed business strategies, client info, or regulated data could lead to compliance violations, data breaches, or even intellectual property theft. Businesses need to carefully consider the impacts of its teams uploading spreadsheets into AI.

Key risks include:

• Data Harvesting for Training: Public AI providers may store and analyze your inputs to improve their systems, potentially sharing data across their ecosystem.
• Lack of Control and Visibility: Once data leaves your network, you can’t audit its path. It might cross borders, falling under foreign laws that don’t match your standards.
• Security Vulnerabilities: Cloud systems are prime targets for cyberattacks, and latency issues can slow down your team when every second counts.

We’ve seen too many headlines about data leaks. As decisive leaders with strong work ethics, we don’t gamble with our hard-earned assets. Therefore optimism drives us forward, but idealism reminds us to protect our teams and goals.

NetAccess is helping Canadian organizations embrace secure, compliant, and private AI development — bringing the power of large language models to your business, on your terms.

Your data belongs to you.

And with NetAccess Private LLM solutions, it stays that way.