Control access
Give the right people access to the right workspaces, models, and capabilities.
Security & Data Protection
Security built into every AI access path.
Spherium.ai is an Enterprise AI Gateway that helps organizations protect AI work with workspace boundaries, permissions, governance rules, audit logs, reporting, and approved model connections.
Start with a 10-Day Free Trial, or request a guided walkthrough for your team.
Security layer for approved AI use
Controls applied before AI reaches approved models
Access
People and apps
Assigned workspace access
Boundary
Spherium.ai workspace
Permissions, context, and rules
Provider
Approved models
Stateless approved requests
Controls in the approved path
Identity-based access
Workspace boundaries
Governance rules
Audit visibility
Stateless provider requests
Integration access controls
Security principles
Security built into the way teams use AI.
Spherium applies access, rules, audit visibility, and reporting directly in the approved AI path, helping organizations protect usage before requests reach approved models.
Apply rules
Use policy-aligned rules to guide how AI is used across teams and use cases.
Create visibility
Give leaders reporting and audit visibility into usage, cost, activity, and administrative changes.
Data handling
Designed to keep AI work inside the right boundaries.
Spherium.ai sits between users, applications, and approved AI models. Requests move through the platform so access, rules, routing, and reporting can be applied before Spherium sends stateless API requests to approved model providers.
- Prompts and files are handled inside Spherium workspaces.
- Workspace access is controlled through granular workspace permissions.
- Requests to model providers are sent as stateless API requests through approved connections.
- Spherium does not use customer prompts or files to train models.
- For model connections supplied by Spherium, providers do not use customer data to train models.
Workspace isolation
Keep AI work in the right place.
Workspaces give individuals and teams defined places for AI work, so prompts, files, knowledge, and rules stay tied to the right context.
Personal workspaces for individual AI work
Shared team workspaces for collaboration
Defined workspace boundaries for sensitive context
Knowledge and files tied to the right workspace
Routing and guardrails aligned to business need
Access controls
Control access by workspace.
Spherium connects identity, workspace assignment, and permissions so people, models, integrations, rules, and audit visibility stay aligned to approved use.
Assigned workspaces
Granular workspace permissions
Approved models
Integration access
Rules
Audit trail
Boundary model
Give individuals a place to work and teams a place to share.
Personal workspace
Individual users can keep their own AI work, prompts, files, and context organized.
Team workspace
Teams can share approved knowledge, workflows, and AI context with the right members.
Knowledge
Rules
Access
Separate context by workspace
Keep prompts, files, knowledge, and reusable context aligned to the right team, project, or use case.
Set granular permissions
Control who can enter each workspace, which capabilities they can use, and which administrative actions are available.
Support identity-based access
Use enterprise authentication patterns such as SSO and just-in-time user provisioning to connect access decisions to your identity provider.
Reduce exposure paths
Workspace boundaries help reduce the chance that internal overexposure or external account compromise spreads AI context across unrelated teams.
Rules and guardrails
Turn AI policy into practical controls.
Spherium helps organizations apply routing rules and governance rules so policy is reflected in how teams work. Governance rules can use preconfigured guardrails or custom controls, then apply them granularly to the right workspaces.
Routing rules
Help direct requests based on workspace needs, cost, performance, or policy where supported.
Governance rules
Apply preconfigured guardrails or customize them based on team, policy, data, or workflow needs.
Workspace-level application
Apply routing and governance rules granularly to workspaces so policy follows the work.
Data and policy integrity
Keep rules, workspace context, knowledge, and access decisions aligned to reduce policy drift.
Integration access
Provide access to approved integrations or limit integration access based on workspace needs.
Security-first adoption
Built for security-conscious organizations.
Spherium gives IT, security, and compliance leaders practical controls before AI usage spreads across disconnected tools. Workspaces, Single Sign On support, granular permissions, routing rules, governance rules, integration access, audit logs, and reporting all work together in one approved path.
The goal is not to slow teams down. It is to give buyers a clear, credible way to expand AI adoption while keeping access, data handling, model usage, and administrative activity easier to understand.
Audit logs and reporting
Visibility leaders can act on.
Spherium gives security and IT leaders audit visibility into AI usage, prompt activity, knowledge changes, authentication events, integration setup, and adoption trends without blocking useful work.
Usage and adoption
- Usage visibility
- Cost visibility
- Adoption tracking
- Model usage
Workspace and knowledge
- Prompt activity review
- Workspace activity
- Knowledge added or removed
Access and integrations
- Authentication events
- Single Sign On activity
- External integration setup
Rules and administration
- Rule and policy events
- Administrative changes
- Audit-ready reporting
Use preferred models without losing oversight.
Spherium is model-agnostic and designed to work as a platform layer between users, applications, and approved AI model providers. Spherium sends stateless API requests to providers, and for model connections supplied by Spherium, providers do not use customer data to train models.
- Spherium connects to model providers through stateless API requests.
- For model connections supplied by Spherium, providers do not use customer data to train models.
- Spherium does not train models on customer prompts or files.
- Customer data is not used by Spherium for model training.
Built on a modern cloud foundation.
Spherium.ai is hosted in AWS using US-based regions and is designed to support security-conscious deployment requirements for today's regulated industries and organizations.
- Hosted in AWS using US-based regions.
- Uses encryption in transit and at rest.
- Designed to support security-conscious deployment requirements.
- Built for organizations evaluating AI in heavily regulated operating environments.
- Spherium respects customer privacy and does not use customer corporate data for model training, resale, or routine human review.
Spherium respects customer privacy and does not use customer corporate data for model training, resale, or routine human review. Read more on the Spherium.ai privacy page.
FAQ
Security questions buyers ask
Short answers for CIOs, CISOs, IT leaders, compliance teams, and partners evaluating secure AI adoption.
Does Spherium.ai train models on customer data?
No. Spherium.ai does not use customer prompts, files, or workspace content to train models. For model connections supplied by Spherium, providers do not use customer data to train models.
Where is Spherium.ai hosted?
Spherium.ai is hosted in AWS using US-based regions and is designed to support security-conscious deployment requirements.
How does Spherium.ai protect prompts and files?
Prompts and files are handled inside Spherium workspaces with granular workspace permissions, Single Sign On support, rules, audit logs, reporting, and encryption in transit and at rest.
How do workspaces help separate AI activity?
Workspaces organize AI activity by team, department, project, or use case so context, knowledge, people, and rules stay aligned with the right work. This helps reduce exposure from internal overpermissioning and external account compromise scenarios.
What can admins see in Spherium.ai?
Admins can review usage, cost, adoption, workspace activity, prompt activity, model usage, knowledge changes, integration setup, authentication events, rule events, administrative changes, and audit-ready reporting.
Does Spherium.ai replace security review?
No. Spherium.ai supports security review with structured controls and visibility, but it does not replace your legal, security, or compliance process.
Does Spherium.ai make us compliant?
No platform can guarantee compliance on its own. Spherium.ai is designed to support security-conscious organizations with policy-aligned controls, audit logs, reporting, and privacy-aware data handling.
How does Spherium.ai respect customer privacy?
Spherium respects customer privacy and does not use customer corporate data for model training, resale, or routine human review. See the Spherium.ai privacy page for more detail.
How does Spherium.ai work with model providers?
Spherium.ai sends stateless API requests to approved model providers. For model connections supplied by Spherium, providers do not use customer data to train models.
Can we start with a free trial?
Yes. Teams can start with a 10-Day Free Trial or request a guided walkthrough before adding users, creating workspaces, applying rules, and viewing reports.
Plan your AI rollout
Give teams a safer way to use AI.
Standardize access, rules, reporting, and visibility before AI usage spreads across disconnected tools and applications.
Evaluation path
See Spherium in a guided walkthrough.
Start a 10-Day Free Trial with your team.
Get complimentary help with users, workspaces, rules, and reports.