What does a secure AI agent mean?
A secure AI agent respects permissions, protects company data, shows sources, and keeps important outputs under human review.
Tactus knowledge page
Secure AI agents for companies
A secure AI agent must respect company rules, permissions, data sensitivity, and traceable review. Useful automation must not mean losing control.
Risk
Companies do not only evaluate model capability.
For company agents, it is just as important who can access data, where processing runs, how permissions are separated, and how the company can see what the output was based on.
Deployment
Local or offline operation can be decisive.
Some processes should not depend on a public cloud environment. With sensitive data, it can make sense to run close to internal systems or fully offline in an environment the company controls.
Governance
Security is also a matter of team rules.
An AI agent must know which sources it may use, who may run a specific skill, what should be logged, and when the output must stop for human review.
Tactus
Tactus separates work preparation from decisions.
Tactus can prepare materials, mark uncertainty, and show sources. This helps companies move faster without losing responsibility, auditability, or control over data.
FAQ
FAQ
Does an AI agent have to run in the cloud?
No. For sensitive processes, local or offline deployment can be better so data stays in an environment the company controls.
How is the audit trail handled?
The agent should record used sources, performed steps, confidence state, and points where human review is required.
Are company data used to train AI?
That depends on the provider and deployment mode. Tactus treats this as a security requirement and supports modes where the company keeps data under control.
Choose how you want to continue.
Register for Tactus, or talk to our sales team about a process, security, integrations, or local operation.