Generative AI tools, like ChatGPT, Microsoft Copilot, Google Gemini, and Apple Intelligence, have transformed how we interact with technology. These platforms are reshaping the way we work and engage with the digital world. Whether you're brainstorming, writing, or even coding, AI offers endless possibilities. However, these tools, often referred to as large language models (LLMs), come with their own set of risks, especially if used carelessly. One of the biggest concerns is employees unknowingly sharing sensitive company information.
According to the National Cybersecurity Alliance’s 2024 Oh Behave report, 65% of people worry about AI-related cybercrime, yet 55% haven't received any training on how to use AI securely. As we dive into AI Fools Week, let’s shift that narrative! When using AI tools, always be mindful of the information you're sharing and how it might be used.
Be Smart About AI Usage
Unlike traditional software, AI models handle and store data in unique ways. Public AI platforms often retain input data for training purposes, meaning anything you share could be used to improve the AI’s responses—or worse, exposed to other users.
Here are some key risks to consider when entering sensitive data into public AI platforms:
- Exposure of proprietary company data – Project details, strategies, software code, and unpublished research could be stored and used to improve future AI responses.
- Breach of customer confidentiality – Entering personal customer data or client records could lead to privacy violations and legal complications.
While many AI platforms offer the option to disable the use of your data for training, don’t rely solely on this feature. Think of AI platforms like social media—if it’s not something you’d share publicly, don’t input it into an AI tool.
How to Safeguard Your Data While Using AI at Work
Before diving into AI at work, make sure to take these important precautions:
- Review your company’s AI policies – Many companies now have guidelines for AI usage. Check if your organization allows AI tools and under what circumstances.
- Look for private AI platforms – Larger businesses often have internal AI tools that offer better security and prevent data from being shared with third-party services.
- Understand data retention and privacy policies – When using public AI platforms, always review their terms of service to understand how your data is stored and used. Pay special attention to their data retention and usage policies.
Steps to Protect Your Data When Using AI
If you're going to use AI, do so safely:
- Use secure, company-approved AI tools – Stick to AI tools that your organization has vetted and approved. If your company hasn’t adopted internal AI solutions yet, ask your manager how to proceed safely.
- Think before you input – Treat AI like a public forum. Don’t enter sensitive information you wouldn’t want to share in a press release or on social media.
- Use general or vague inputs – Instead of entering confidential information, try using broad, non-specific queries when interacting with AI tools.
- Secure your AI account – Protect your AI accounts with strong, unique passwords (at least 16 characters) and enable multi-factor authentication (MFA) for added security.
Boost Your AI IQ
Generative AI is a powerful tool, but using it wisely is key. By thinking critically about what you share, adhering to company policies, and prioritizing security, you can leverage AI’s benefits while protecting your company from potential risks. Stay smart and stay safe in the AI-driven world!