Security by design
Security requirements are considered across product design, deployment and operation.
AIOTOR / Trust Center
Trust for systems that operate in complex environments.
Security, privacy, human control and evidence should remain explicit throughout enterprise evaluation and deployment.
TRUST CENTER
Security, privacy and control are part of the product conversation.
This public Trust Center explains AIOTOR principles without disclosing proprietary implementation, customer architecture or sensitive internal security design.
Privacy by design
Use only the information needed for the approved purpose and do not give AI agents automatic authority over protected data.
Human control
Keep consequential autonomous actions inside explicit identity, authority, approval and review boundaries.
Evidence & accountability
Make important outcomes reviewable without turning internal mechanisms into public documentation.
Controlled deployment
Support customer-controlled, private and appropriately isolated environments where applicable.
Responsible AI
Separate automated assistance from verified evidence and governed decisions.
PRIVACY
Website & engagement privacy
How public website information is handled.
Read privacy policy →RESPONSIBLE AIHuman authority around intelligent systems
Principles for evidence, oversight and authorized action.
Read principles →SECURITY REPORTINGReport a security issue
Use a dedicated route for responsible vulnerability reporting.
enterpriseenquiry@aiotor.com?subject=Security%20Issue%20Report →