AI Tools and Your Privacy: How to Cut Cyber Risk in the Age of AI

AI Tools and Your Privacy: How to Cut Cyber Risk in the Age of AI

Generative AI tools like ChatGPT, Google Bard, and Microsoft Copilot have become part of daily life for millions. We use them to draft emails, summarize documents, generate images, and even brainstorm ideas. But as adoption accelerates, so does concern about what happens to the data we feed these systems.

The World Economic Forum recently published an article on cutting cyber risk in an AI era, highlighting data privacy’s role in that equation. While the piece focuses on broader systemic risks, the underlying issues apply to anyone who interacts with an AI chatbot. This article breaks down the key privacy threats and offers concrete steps you can take to limit your exposure.

What Happened

The WEF article, published in June 2026, argues that the rapid integration of AI into business and personal life is creating new attack surfaces for cybercriminals and new data governance challenges for organizations. It emphasizes that privacy protections are not just a compliance requirement but a critical part of reducing overall cyber risk. The piece is part of a series on the Fourth Industrial Revolution and draws on expert perspectives from industry and policy.

While the exact statistics vary by region and study, multiple reports—including those cited by the WEF—indicate that AI-related data breaches and misuse incidents have risen sharply since 2023. For example, a 2025 study from the Identity Theft Resource Center noted a significant increase in identity fraud cases that leveraged AI-generated content. However, precise global percentages are often contested, and the pace of change makes it difficult to pin down hard numbers.

Why It Matters

For the average consumer, the risks are twofold. First, the prompts and information you enter into a public AI tool are often stored, reviewed, and used to train future versions of the model—unless you explicitly opt out. Companies like OpenAI and Google have updating privacy policies, but the default settings almost always favor data collection.

Second, the same technology that powers helpful chatbots is being weaponized. Scammers now use voice cloning to impersonate family members, deepfake video to trick employees into transferring money, and AI-generated phishing emails that are nearly indistinguishable from legitimate messages. A 2024 report from the Federal Trade Commission warned that AI tools are making scams more personalized and harder to spot.

If you interact with AI tools without thinking about privacy, you risk exposing sensitive personal or professional data. You also become a more vulnerable target for scams that rely on convincingly fake interactions.

What Readers Can Do

The good news is that you don’t need to stop using AI to stay safe. A few practical habits can dramatically reduce your risk.

1. Treat AI prompts like public posts. Assume that anything you type into a chatbot could be read by a human reviewer or stored indefinitely. Do not share passwords, financial details, health information, trade secrets, or personally identifying data. If you need help drafting a sensitive email, use generic placeholders (e.g., “Dear [Client Name], regarding invoice [Number]…”).

2. Turn off chat history and training data usage. Most major AI services let you disable the storage of conversation history. In ChatGPT, go to Settings > Data Controls and turn off “Chat history & training.” In Google Bard (now Gemini), you can pause Activity History in your Google Account settings. Doing so means your conversations will not be used to improve the model, though the company may still retain them for safety monitoring.

3. Use a separate, anonymized account. Create a dedicated account for AI tools that is not tied to your primary email or identity. Use a pseudonym, if allowed, and avoid linking payment methods unless necessary. This limits the damage if the account is compromised.

4. Be skeptical of AI-generated communications. If you receive a voice call from a “relative” asking for money, hang up and call them back on their known number. If an email looks urgent but slightly off, hover over the sender address before clicking anything. AI can mimic tone and style, but inconsistencies in phrasing or unnatural language are still common.

5. Consider privacy-focused alternatives. For tasks that involve sensitive data—like drafting legal documents or analyzing personal finances—look into tools that run locally on your device (e.g., Llama models through Ollama, or private chat interfaces like LocalAI). These never send data to a remote server. Alternatively, use encrypted AI services like Brave’s Leo or Mozilla’s AI offerings, which are designed with privacy-first defaults. Be aware that local models are often less capable than large cloud-based ones, so there is a trade-off.

6. Read the privacy policy—at least the summary. Yes, it’s tedious, but take five minutes to scan the key points. Look for sections on “data use,” “retention,” and “third-party sharing.” If a service says it may share your data with “affiliates” or use it for “research” without clear opt-outs, that is a red flag.

Sources

• World Economic Forum. “Cutting cyber risk in an AI era – and data privacy’s role.” June 15, 2026.
• World Economic Forum. “How identity fraud is changing in the age of AI.” December 11, 2025.
• Federal Trade Commission. “The Latest AI Scams and How to Spot Them.” 2024 (multiple publications).
• OpenAI. “Data Privacy and Controls.” Accessed June 2026.
• Identity Theft Resource Center. 2025 Annual Trends Report.

Disclaimer: The information in this article is based on publicly available reports and expert consensus as of mid-2026. Privacy policies and scam techniques evolve quickly; always verify current settings and warnings from official sources.