How to Protect Your Data Privacy and Reduce Cyber Risk in the AI Era

How to Protect Your Data Privacy and Reduce Cyber Risk in the AI Era

Artificial intelligence tools have become part of daily life for many people. Whether you use ChatGPT to draft emails, Copilot to summarise documents, or Gemini to plan a trip, these services feel convenient and often free. But the convenience comes with a trade-off that many users overlook: your data.

As AI adoption accelerates, so do the risks. A recent report from the World Economic Forum (WEF) highlights how cutting cyber risk in an AI era requires a clearer understanding of data privacy’s role. The same WEF report notes that half of all companies now use AI in their operations, and that figure is growing. For consumers, this means AI-generated phishing attacks are becoming more convincing, and the data you feed into a chatbot can end up stored, shared, or used to train future models.

What Happened

The WEF’s analysis on cutting cyber risk in an AI era points to several structural issues. AI systems aggregate enormous amounts of personal data, often without transparent disclosure. Users type queries that may include names, addresses, health details, or financial information. That data can be retained by the service provider, shared with third parties, or used to fine‑tune the AI model itself. In some cases, it has been exposed in data breaches.

TechTarget’s 2026 cybersecurity trends report confirms that attackers are now using AI to generate more credible phishing emails, deepfake voice calls, and fake customer‑support chatbots. A simple query to an AI tool can inadvertently reveal login credentials or private documents if the user isn’t careful.

Why It Matters

For the average person, the risk is not abstract. When you paste a draft contract into an AI tool to summarise it, you may be handing over confidential information. When you ask a chatbot for medical advice, you are sharing health data that may not be protected by medical privacy laws. Many popular AI services do collect and store conversations, and their privacy policies can be dense and hard to parse.

The core problem is that the convenience of AI encourages oversharing. Once data enters a cloud‑based AI system, you lose control over how it is stored, used, and deleted. This is why cybersecurity experts emphasise that data privacy is a first‑line defence against cyber risk in an AI era.

What Readers Can Do

You do not need to stop using AI tools. But you can take practical steps to reduce your exposure.

Limit what you share. Treat every prompt as if it could be read by a stranger. Avoid including your full name, address, phone number, passwords, or financial account numbers. If you need to analyse a sensitive document, redact identifiable details first.

Review privacy settings. Many services let you opt out of having your conversations used for model training. In ChatGPT, for example, you can disable chat history and training. In Google Gemini, you can turn off activity logging. These settings are often buried, but they are worth finding.

Use privacy‑focused alternatives. DuckDuckGo’s AI Chat provides access to multiple models without storing your conversations. Local AI models (such as Llama or Mistral) run entirely on your device and never send data to the cloud. While they may be less powerful, they offer far stronger privacy.

Strengthen your account security. Use a unique, strong password for each AI service you sign up for. Enable two‑factor authentication (2FA) whenever possible. This reduces the chance of an account takeover exposing your past queries.

Keep software and devices updated. AI apps and browser extensions can contain vulnerabilities. Regular updates patch known security flaws. A good antivirus program can also help detect fake AI apps that attempt to steal your data.

Be wary of fake AI tools. Scammers are creating lookalike chatbots, browser extensions, and mobile apps that mimic legitimate services. Download only from official app stores, and check developer names and reviews carefully.

Sources

• World Economic Forum, “Cutting cyber risk in an AI era – and data privacy’s role” (June 2026).
• World Economic Forum, “Half of all Companies Now Use AI in business” (June 2026).
• TechTarget, “10 cybersecurity trends to watch in 2026” (January 2026).

These reports are publicly available and offer deeper dives into the trends and recommendations summarised here. Staying informed is the best way to keep using AI without compromising your privacy.