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  • Data Privacy Security | Perplexity Help Center
    What data does Perplexity collect about me? All about how we handle your information How long does Perplexity retain my search history, profile data, and personal information?
  • The Dark Side of Perplexity AI: Privacy Risks You Should Know
    Some experts have warned that this turns Perplexity from a helpful AI chatbot into a privacy risk, especially since the company hasn’t been completely transparent about how it uses your browsing data
  • IS Perplexity AI Safe? Experts Reveal Major Security Flaws
    WIRED published an article in 2025 indicating a possible safety issue with the Perplexity AI API, which granted the government unlimited access to all stored user interactions The vulnerabilities found were observable vulnerabilities that were, in fact, definitely more insecure than other encrypted chat apps, like ChatGPT-5
  • Worried About Perplexity Using Your Data? How to Stop . . .
    Perplexity is an AI-driven tool that helps answer web search questions quickly The service automatically opts users in to use their data to refine and train its AI systems If privacy matters to you, here’s a quick guide to disabling data usage in Perplexity
  • How Safe is Perplexity AI? Decoding Its Security Flaws
    Perplexity AI’s Android app has vulnerabilities like hardcoded API keys, risking data theft Weak encryption and missing SSL validation expose users to cyber threats Using trusted platforms and antivirus software helps protect against Perplexity’s flaws
  • Harmonic Security - Securing Sensitive Data in Perplexity AI
    Harmonic now detects sensitive data uploaded into Perplexity AI If interventions are enabled, these will also be displayed to end users As with OpenAI ChatGPT, Microsoft Copilot, and Google Gemini coverage, the browser extension intercepts the prompt before is sent
  • Is perplexity AI safe? - California Learning Resource Network
    To ensure the safe use of perplexity AI, it’s essential to: Audit and Validate Data: Verify the quality and diversity of training data to minimize biases and ensure fairness Implement Data Encryption and Anonymization: Protect user data and ensure it’s not shared with third parties





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