Does AI Get Your Data? AI and Data Protection

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Sometimes these tools have totally changed how you work and engage with the internet. There seems to be endless ways to use these platforms, many of which are called large language models ( LLMs). These chatbots may help with brainstorming, writing, and yet coding—but they even can be substantial risks when used recklessly. One of the biggest problems? Employees unwittingly exposing sensitive business information. &nbsp,

Our report found that 65 % of us are concerned about AI-related cybercrime, and most people ( 55 % ) haven’t received any training about using AI securely. For , this alter that! &nbsp, &nbsp,

First and foremost, when you’re using an AI device, think about what you’re sharing and how it could be used.

Think smart about AI&nbsp, &nbsp,

Artificial models process and store data different than traditional software. Public AI platforms usually retain input data for training purposes, meaning that whatever you communicate could be used to develop future responses—or worse, inadvertently exposed to other users. &nbsp,

Here are the main challenges of entering sensitive information into public AI systems: &nbsp,

  • Coverage of secret business data – Proprietary company data, such as project details, strategies, software code, and published research, may be retained and control future AI outputs. &nbsp,
  • Personal user data – Personal information or customer records should never be entered, as this could result to protection violations and legal repercussions. &nbsp,

Some Artificial platforms allow you to switch off the use of what you enter for coaching information, but you don’t trust that as an ultimate safe. Think of AI systems as sociable advertising: if you haven’t publish it, don’t insert it into AI. &nbsp, &nbsp, &nbsp, &nbsp,

Test before you use AI at work&nbsp,

Before integrating AI equipment into your workflow, get these vital steps: &nbsp,

  • Review business AI policies – Many organizations now have policies governing AI usage. Assess whether your business allows people to apply AI and under what circumstances. &nbsp,
  • See if your business has a secret AI system – Many companies, especially large corporations, today have inner AI resources that offer greater protection and prevent files from being shared with third-party services. &nbsp, &nbsp,
  • Understand information loyalty and privacy policies – If you use common AI systems, review their terms of service to understand how your data is stored and used. Specifically look at their data retention and data use policies. &nbsp, &nbsp,

How to protect your data while using AI&nbsp, &nbsp,

If you’re going to use AI, use it safely! &nbsp,

  • Stick to secure, company-approved AI tools at work – If your organization provides an internal AI solution, use it instead of public alternatives. If your workplace isn’t there yet, check with your supervisor about what you should do.

  • Think before you click—Treat AI interactions like public forums. Don’t enter information into a chatbot if you wouldn’t share it in a press release or post it on social media. &nbsp,

  • Use vague or generic inputs – Instead of inputting confidential information, use general, nonspecific questions as your prompt.

  • Protect your AI account with strong passwords and MFA – Protect your AI accounts like all your other ones: use a unique, complex, and long password ( at least 16 characters ). Enable multi-factor authentication ( MFA ), which will add another solid layer of protection. &nbsp, &nbsp,

Increase your AI IQ&nbsp,

Generative AI is powerful! But you are wise. Use AI intelligently, especially when sensitive data is involved. By being mindful of what you share, following company policies, and prioritizing security, you can benefit from AI without putting your company at risk. &nbsp,

You can learn more about AI safety and many more cybersecurity topics by signing up for our ! &nbsp,

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