How to Protect Your Privacy in the Age of AI: Lessons from a New WEF Report
The World Economic Forum recently published a report titled Cutting cyber risk in an AI era – and data privacy’s role. It offers a sobering look at how artificial intelligence is changing the threat landscape for individuals and organizations alike. While much of the discussion around AI safety focuses on big-picture risks, the report highlights specific threats that directly affect anyone using AI tools—from chatbots to image generators.
For the average person, the key takeaway is not to stop using AI, but to be more deliberate about how you share data and which services you trust. Below is a breakdown of the report’s main findings and a short guide on what you can do to lower your risk.
What happened
The WEF report, released in June 2026, examines the intersection of cyber risk and data privacy in an era when AI adoption has become mainstream. It identifies three categories of threats that are particularly relevant to consumers:
- Data poisoning – attackers subtly manipulate the data used to train AI models, which can cause the model to behave unexpectedly or leak sensitive information.
- Model inversion – an attacker can reconstruct training data from a model, potentially exposing personal details that were used to train it.
- Supply chain vulnerabilities – many AI tools rely on third-party components or cloud services. A weak link anywhere in the chain can expose user data.
The report stresses that these risks are not theoretical. As AI is embedded in more consumer products, the attack surface grows larger. It also notes that current data privacy regulations still have gaps, meaning individuals can’t rely solely on laws to protect them.
Why it matters to you
Most people use AI services without thinking about where their data goes. When you ask a chatbot a question, upload a photo to an AI editor, or use a voice assistant, you are sharing information that could be used to train or improve the model. That data might be stored, analysed, or even sold—depending on the provider’s policies.
The WEF report warns that model inversion attacks could allow a bad actor to extract personal information from a model after it has been trained. For example, if a medical chatbot was trained on patient records, an attacker might be able to retrieve those records through careful queries. While such attacks require technical skill, the report points out that the barrier is lowering as AI tools become more accessible.
For everyday users, the immediate danger is less about targeted attacks and more about accidental exposure. Many free AI apps have weak security or ambiguous data handling policies. A common scenario: you paste a private document into a prompt, and that text becomes part of the model’s training set, visible to others later.
What readers can do
The report emphasizes that individual action can make a significant difference, especially when combined with better regulation. Here are concrete steps based on its recommendations:
1. Check app permissions before using AI tools Grant the minimum permissions needed. If an AI photo editor asks for access to your contacts or location, deny it. Review permissions in your phone’s settings periodically.
2. Use anonymization techniques Before pasting sensitive text into a chatbot, remove names, addresses, account numbers, and other identifiers. The same applies to images—blur faces or remove metadata before uploading.
3. Limit data sharing whenever possible Many AI services offer options to opt out of data collection for training. Look for a “privacy” or “data usage” section in the settings. If you can’t find one, consider whether you need the tool.
4. Enable two-factor authentication (2FA) If an AI service stores any of your data, protect your account with 2FA. This prevents an attacker from accessing your history or saved prompts even if they obtain your password.
5. Choose tools that publish transparency reports The WEF report recommends selecting providers that are open about how they handle data, who they share it with, and what security measures they use. A clear privacy policy is a baseline, but transparency reports go further—they show actual incidents and how they were handled.
6. Keep software updated AI-powered apps and browsers often receive security patches. Enable automatic updates to reduce the risk of known vulnerabilities.
Where to learn more
The full report, Cutting cyber risk in an AI era – and data privacy’s role, was published by the World Economic Forum in June 2026. It is available on the WEF website and through their Centre for the Fourth Industrial Revolution. For those who want a deeper dive, the report also includes a risk framework that organizations can use, but the individual recommendations above capture the most relevant parts for everyday users.
By staying informed and adjusting a few habits, you can continue to benefit from AI without exposing yourself to unnecessary risk.