LinkedIn profiles are increasingly being used as inputs for language models in various business tools, making them a significant source of unsecured data for AI systems. This exposes these systems to prompt injection attacks where malicious instructions can alter model outputs, leading to security risks such as data exfiltration and misdirection of automated actions. Developers must implement robust defense mechanisms like input sanitization and strict separation between data extraction and analysis stages to mitigate these threats.
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Ali NematiWritten by Ali
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