Privacy Tech That Can Keep Your AI Use Safe: What You Need to Know

If you use ChatGPT, Microsoft Copilot, or an image generator like Midjourney, you’ve probably wondered what happens to the data you type or upload. A recent report from the Government Accountability Office (GAO) suggests that privacy-enhancing technologies—often called PETs—could be a practical answer. And for everyday users, the good news is that some of these protections are already available.

What Happened

In May 2026, the GAO published a report titled “Privacy Tech Could Be Key to Safer AI Adoption.” It examines how tools like differential privacy, federated learning, and on-device processing can reduce privacy risks in AI systems. The report is significant because it comes from a federal watchdog, not a tech company. It validates that these technologies aren’t just theoretical—they can make a real difference for users.

The GAO looked at several PETs and how they’re being applied in government and industry. It concluded that while no single technology is a silver bullet, combining them can meaningfully lower the chance that personal data is exposed or misused.

Why It Matters

When you use a cloud-based AI tool, your prompts and files often go to the company’s servers. There, they might be stored, analyzed, or used to train models. Even with promises of encryption, your data is visible to the provider. For many people, that’s uncomfortable.

Privacy-enhancing technologies change this dynamic. For example:

  • On-device processing keeps data on your phone or laptop. Apple Intelligence and some features in Google’s Pixel phones work this way. No data leaves your device.
  • Differential privacy adds statistical noise to your data before it’s collected, so the company gets useful patterns without seeing your exact inputs. Apple and Microsoft use this for telemetry.
  • Federated learning trains AI models across many devices without uploading raw data. Only model updates (which are scrambled) get sent to the server.

The GAO report emphasises that these techniques can make AI safer for everyone—not just organizations with legal teams.

What Readers Can Do

You don’t need to be a security expert to benefit from PETs. Here are concrete steps that work with today’s tools:

1. Check your AI tool’s settings.

  • In ChatGPT, you can turn off chat history. This prevents your conversations from being used for training (OpenAI says they’ll still keep them for 30 days for safety, but they won’t teach the model from them).
  • In Copilot, Microsoft allows you to opt out of data collection for training under the “Privacy” section of your account.
  • For image generators like DALL·E or Stable Diffusion, look for local-only modes or accounts that don’t store your uploads.

2. Use tools that emphasize on-device processing.

  • Apple’s on-device AI (available on iPhones and Macs with Apple Silicon) runs locally for many tasks like summarising text or generating images.
  • Brave’s Leo chatbot is another example: it processes prompts locally and doesn’t retain them on servers.
  • Some open-source models, like Meta’s Llama or Mistral, can be run locally with tools like LM Studio. You get AI without any data leaving your computer.

3. Reduce your exposure in cloud-based tools.

  • Don’t paste sensitive information (passwords, tax documents, health records) into any public AI service. Even with PETs, mistakes happen.
  • Clear your chat history regularly.
  • Use incognito or guest modes if available.
  • Consider running sensitive queries on a local model instead.

Limitations to Keep in Mind

PETs aren’t perfect. Differential privacy reduces accuracy. On-device models are less capable than giant cloud models. Federated learning still requires trust that the company implements it correctly. And no technology can protect you if you willingly hand over sensitive data to a prompt.

The GAO report itself notes that PETs can be difficult to implement and audit. If a company claims to use them, ask for details. Look for independent evaluations—some companies publish transparency reports or white papers.

Looking Ahead

The GAO’s attention signals that privacy tech is moving from niche to mainstream. For consumers, the key takeaway is that you have options right now. You don’t have to choose between using AI and protecting your data. By choosing tools with local processing, adjusting settings, and being mindful about what you share, you can reduce risk considerably.

The report also urges developers to make PETs easier to use. In the next few years, expect to see more AI tools default to privacy-friendly modes—much like browsers now default to HTTPS. That shift can’t come soon enough.

Sources

  • GAO report summary: MeriTalk, “GAO: Privacy Tech Could Be Key to Safer AI Adoption,” May 20, 2026.
  • Details on differential privacy: Apple and Microsoft documentation.
  • On-device AI: Apple Intelligence announcement (2024), Brave Leo documentation.