Off-the-Record AI Conversations Require More Than Incognito Mode
Private mode settings alone won't stop AI providers from retaining your conversations.
Private mode settings alone won't stop AI providers from retaining your conversations.
Architecture, not policies, protects privileged information during AI inference.
Self-hosted inference and encrypted enclaves make prompt exposure structurally impossible.
Five connected controls stop compromised AI agents before they cause harm.
Five controls enterprises need to enforce data sovereignty in AI deployments before signing.
Technical controls prevent data exposure where contracts can only promise to prohibit it.
Cryptographic controls, not policy, must exclude operators from AI inference data.
Privacy mode restricts how vendors use your data.
Professionals must map which data enters AI tools and who reviews outputs before client delivery.
Seven safeguards determine whether AI tools can safely handle confidential professional data.
Opt-out policies let companies train on your data first and ask permission later.
Local AI needs more than offline inference to truly protect your conversations from exposure.