How to keep your information private and secure with AI. | Emily Tell, EMBA posted on the topic | LinkedIn
Artificial intelligence can drive productivity, but safeguarding personal and professional data must come first, so I outline how to evaluate every tool through the lens of privacy impact before putting sensitive information into a prompt.
Effective protection starts with data minimisation, anonymising or redacting identifiers, reviewing platform privacy policies, and configuring access controls so only trusted stakeholders can see or export the outputs.
I also recommend layered security practices—secure storage, multi-factor authentication, regular audits, and ongoing user training—to keep AI workflows compliant and resilient as threats evolve.