How do AI Engineers handle data privacy and security in AI projects?

AI Engineers handle data privacy and security by implementing strict access controls, encryption, and anonymization techniques. AI engineers ensure, by all possible means, that the sensitive data is encrypted in transit and at rest; it is useful in anonymization techniques that can reduce sensitive personal identifications so that it decreases risks toward privacy.

Engineers also have tasks of audits and updates to the security protocols regularly for emerging threats to ensure compliance with data protection regulations.