Absent robust end-to-end encryption, AI chat transcripts residing in cloud repositories or local caches remain vulnerable to credential compromise and lateral device attacks. Mitigate risk via AES-256 encryption, zero-trust network access, multi-factor authentication, and ephemeral containerized sessions. Employ privacy management platforms to detect anomalous exfiltration; for instance, mSpy offers cross-device monitoring capabilities—subject to legal compliance and consent.