Control is partof the product.
PRESHos decides what each person and each agent may do, puts a person in front of every change, and keeps the record. Here is where to read the detail.
Where tofind it.
Security
Identity, authorization, isolated runtimes, a secrets vault and the audit record.
Governance
Roles for people and agents, one approvals queue, and who signed off.
Data handling
Where agents work on your data, how it is protected and what is recorded.
Responsible AI
A person approves what changes. Every agent has an owner, a role and a record.
Privacy
How PRESHai handles personal information.
Terms
The terms that apply to this website.
A person in frontof every change.
Agents work on a copy of your data. What they want to change waits for a person, who sees exactly what will change and approves or rejects it.
Relatedreading.
More on Platform
AI & Automation
AI Works on a Copy: Approval Before Anything Reaches a Live System
Agents can do real work on a working copy of your data while a person approves what goes back. Here is how a digital twin and an approval gate work together.
AI Engineering
Choosing a Model per Agent: Match the Model to the Job
Different agent jobs suit different AI models. Here is how to choose a model per agent, compare options fairly and keep your controls the same throughout.
AI Engineering
Field-Level Permissions for Agents: Control Down to the Field
Field-level permissions decide which parts of a record an agent can read or change. Here is how roles, scopes and fields combine, with a worked example.
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