How to Protect Your Data Privacy in the Age of AI: Cyber Risks and What You Can Do

Intro

Every time you type a question into a chatbot or upload a photo to an image generator, you are handing over a piece of your personal data. In the rush to try new AI tools, it is easy to forget that those interactions are often stored, analysed, and sometimes reused. The World Economic Forum (WEF) recently released a report on cutting cyber risk in an AI era, and a key insight is that data privacy sits at the centre of the problem. As AI systems become more powerful, the same capabilities that make them useful also make them attractive targets – and users are the first line of defence.

What happened

The WEF report, published in June 2026, examines how artificial intelligence is changing the cybersecurity landscape. It notes that AI systems rely on massive datasets, much of which comes from everyday users. This creates new vulnerabilities: data leaks from training sets, more convincing phishing emails generated by large language models, and deepfake scams that can impersonate friends or colleagues. The report also points out that traditional security measures, such as simple spam filters, struggle to keep up with AI‑powered attacks that adapt in real time.

While the report is aimed at businesses and policymakers, its findings have direct implications for individuals. The same risks that worry corporate security teams – unauthorised data collection, model inversion attacks, and prompt injection – are present in consumer AI tools too. For example, a free chatbot you use to draft emails may store your conversations indefinitely, and those logs could be exposed in a breach.

Why it matters

You might think that your chat history with an AI is no big deal, but consider what it contains: your writing style, personal opinions, perhaps confidential work information or health questions. If that data is compromised, it can be used to impersonate you, craft targeted scams, or even blackmail you. Moreover, AI tools are increasingly integrated into everyday apps – from photo editors to email assistants – so you may not always realise when an AI is collecting data.

The WEF report emphasises that data privacy is not just a technical issue; it is a risk multiplier. The more personal data an AI system holds, the more damage can be done if it is breached. As AI becomes embedded in everything we do, the line between convenience and exposure gets thinner. For the average user, the question is no longer whether you use AI, but how carefully you use it.

What readers can do

You do not need to abandon AI tools altogether. A few practical steps can reduce your risk significantly.

  1. Review permissions and settings
    Before you start using an AI tool, check what data it collects and how long it keeps it. Many services allow you to turn off conversation history or request deletion of your data. Do this as soon as you sign up.

  2. Use privacy‑focused alternatives
    Some AI providers offer local processing or on‑device options that keep your data on your own computer rather than sending it to a cloud server. For example, open‑source models that run locally are a good choice if you handle sensitive information.

  3. Enable multi‑factor authentication
    This is still one of the most effective ways to protect any online account. Even if a scammer gets your password through an AI‑generated phishing email, they cannot get in without the second factor.

  4. Think before you paste
    Do not copy and paste passwords, credit card numbers, or private documents into a chatbot. Treat every AI prompt as if it could be read by a stranger.

  5. Spot AI‑powered scams
    Look out for emails or messages that ask for urgent action, even if they appear to come from someone you know. A quick phone call to verify can stop a deepfake attack.

  6. Monitor your digital footprint
    Use a password manager that alerts you to breaches, and check your credit report periodically. If you suspect your data has been compromised, change passwords immediately and report the incident to the platform involved.

Sources

  • World Economic Forum. (2026, June 15). Cutting cyber risk in an AI era – and data privacy’s role. Retrieved from [link to WEF article]
  • TechTarget. (2026, January 26). 10 cybersecurity trends to watch in 2026.
  • Fortune. (2026, April 6). JPMorgan CEO Jamie Dimon predicts AI will cut the workweek down to 3.5 days.

(The above sources were consulted for context, but the primary insight on cyber risk and data privacy comes from the WEF report.)