Private AI deployment and enterprise AI security
MotionPexels Enterprise AI runs inside your own infrastructure, so your data stays where you decide. You control who can see what, how long data is kept, which models are used and how every action is recorded.
Deployment options
You choose where the platform runs. That choice decides where your data lives and who can reach it.
Your cloud
Run the platform in your own cloud account, under your own security and access policies.
Your VPC
Run it in a private network you control, isolated from the public internet.
On-premises
Run it fully inside your own data center, for organizations that need data to stay in their facilities.
This is what we mean by private AI: the same capabilities as a hosted assistant, deployed where your security team can govern them.
SSO and role-based access
You connect your own identity provider, so people sign in the way they already do. Access follows roles, and answers are filtered by each person’s existing permissions.
If someone cannot open a document in the source system, they do not get an answer drawn from it. Permissions are applied at the moment of the question, not after the fact.
Encryption and retention
Data is encrypted in transit and at rest. You decide what is stored, for how long and when it is purged, so retention follows your own policy.
- Encryption in transit and at rest
- Retention periods you set
- Purge rules for conversations and logs
- No use of your data to train outside models
Audit logs and approvals
Every query, action and approval is logged and traceable. When an agent takes a multi-step action, each step is recorded, so you can see what happened and why.
Sensitive or irreversible actions can require human approval before they run. Security and compliance teams can review the trail at any time.
Model choice
Use the models your policies allow, commercial or open, hosted where you require. You are not locked into a single model, and you can change it as your needs and rules change.
Data residency for UAE and Saudi organizations
Many organizations in the UAE and Saudi Arabia want data to stay in the country or in their own facilities. Because you choose where the platform runs, you can deploy it in a location that matches your own residency requirements.
Residency and data-protection rules vary by sector and change over time. Your legal and compliance teams decide which rules apply, and we design the deployment to match their decision.
Working with your security team
Security reviews go faster when the right people are in the room. We are happy to walk your security, IT and compliance teams through the architecture, the access model and the audit trail before anything is deployed.
We also agree up front which sources are connected, who can reach them and what is logged, so there are no surprises after launch.
Your data and model training
Your data stays inside your infrastructure and is never used to train external models. You control retention and model choice, which means you control what the platform learns from and what it keeps.
Frequently asked questions
What does private AI deployment mean?
It means the AI platform runs inside infrastructure you control, such as your own cloud account, your VPC or your data center, instead of a shared service. Your security team governs it with the same policies as your other systems.
Can we run it on-premises?
Yes. You can run Enterprise AI fully on-premises, in your own cloud or in your VPC, depending on your requirements.
Is our data used to train AI models?
No. Your data stays inside your infrastructure, is encrypted in transit and at rest, and is never used to train external models.
Can we keep data in the UAE or Saudi Arabia?
Because you choose where the platform runs, you can deploy it in a location that matches your own residency requirements. Your compliance team confirms which rules apply to your organization.
Which AI models can we use?
The models your policies allow, commercial or open, hosted where you require. You can change them as your needs change.
How do we audit what the AI did?
Every query, action and approval is logged and traceable. Agents record each step of a workflow, so your teams can review what happened and why.
Walk your security team through it
Book a 30-minute demo. We will cover deployment, access control and audit with the people who need to approve it.