Why Your Privacy Can’t Keep Up With AI — and What to Do About It

A new global survey from TrustArc, published today, has confirmed what many privacy watchers have suspected for a while: the companies rolling out AI tools are not keeping up with the privacy protections consumers expect. The report, covering thousands of organizations worldwide, finds that privacy capabilities are struggling to match the speed of AI adoption. For the average person, that gap means your personal data may be more exposed than you realize.

What happened

The TrustArc Annual Global Survey, released on May 6, 2026, surveyed privacy and security professionals across industries. The headline finding: a significant share of organizations report that their privacy controls are not sufficient for the AI systems they have already deployed.

The report does not publicly disclose the exact percentage for every metric in the free summary, but early summaries point to a widening gap between how quickly companies adopt AI tools and how thoroughly they assess data risks. Many organizations, the survey suggests, are still using privacy frameworks designed before generative AI became common.

This is not an accusation of bad intent. It is a structural problem: AI tools often need large amounts of data to function, and the corporate processes for reviewing what that data is, how long it is kept, and who can access it simply have not kept pace.

Why it matters to you

When a company has weak privacy controls on its AI, your data is the thing that slips through the cracks. Every time you use a chatbot, a photo editing tool, or a writing assistant, you are likely sending personal information to a server somewhere. That might be your name, your email, your purchase history, or even sensitive content you paste in for editing.

The risks are not hypothetical. If a company does not know what data its AI is collecting, it cannot secure it properly. That means higher chances of data breaches, unauthorized use of your information for training models, or retention of your conversations longer than necessary.

The survey also flags that as AI becomes embedded in products — from smart home devices to workplace software — the old model of giving consent at setup is often insufficient. You might agree to one thing and later find your data being used in ways you never expected.

What you can do right now

You cannot fix corporate privacy gaps on your own, but you can reduce your exposure. Here are a few practical steps.

Limit what you share with AI tools. Assume that anything you paste into a public AI chatbot could be seen by others or used for training. Do not share passwords, financial details, or anything you would not want attached to your name.

Review default settings. Many AI services default to “improve the model” data sharing. Look for an account settings page or a privacy dashboard. Turn off data collection for training if the option exists. Some tools also let you delete your conversation history — do that regularly.

Use dedicated tools with clear privacy policies. Free AI tools often monetize your data in unclear ways. If you can, choose paid services that spell out how they handle your information, or open-source models that run locally on your device.

Consider browser extensions that block AI training scripts. Some extensions can prevent your browsing activity from being scooped up by AI analytics. They are not perfect, but they add a layer of friction for data collectors.

Check if your employer has an AI use policy. If you use AI at work, ask HR or IT what data is being collected and whether the company has vetted the tool. Many workplace AI deployments are happening without clear privacy guidelines for employees.

The bigger picture

The TrustArc survey suggests that this gap will not close quickly. Regulations like the EU AI Act are coming, but enforcement will take time. In the meantime, the burden often falls on consumers to stay aware.

Uncertainty remains. The survey does not reveal which industries or regions have the biggest gaps, nor does it detail which specific AI applications are riskiest. But the direction is clear: privacy capability is playing catch-up, and until that changes, being careful with what you share is the most reliable protection you have.

Sources
TrustArc Annual Global Survey, May 6, 2026 (reported via PR Newswire). Full report available at trustarc.com.