Enterprise AI execution environment
Mirr Enterprise
Mirr Enterprise raises productivity across your organization.
The coding agent, execution control, and audit evidence, operated in one place. Your existing systems and environments are used as they are.
Review Mirr EnterpriseAll your AI, managed as one.
As teams pick up different SaaS tools, APIs, internal models, and agent frameworks, security reconstructs after the fact who used which model, what data crossed a boundary, and which tool acted. Per-model consoles and separate logs do not produce one chain of responsibility.
Mirr Enterprise bundles the coding agent, execution control, and audit evidence into one agreement. Identity, repositories, internal tools, and private models stay as they are, with one policy and evidence system on top. Different department scopes are expressed as policy.
Every request is verified, executed, and left on the record.
Summarize the termination terms and risk clauses in this agreement, then add them to the legal review document.
- 01Confirm the requester and purpose
Confirm who made the request and their role, along with what work is being requested.
- 02Check data and security conditions
Check the document’s security classification, where it is stored, and whether external transfer is allowed.
- 03Decide which models and tools to use
Only models and tools that match company policy are used; unauthorized paths are never taken.
- 04Approve, then execute
Work runs in the approved environment with internal tools, with additional approval when needed.
- 05Record process and result
Who requested what, on which basis it ran, and what the result was — kept as one record.
Manage who can do what, and how far.
Policy applies before execution
DLP, data classification, user and agent permissions, and the models and tools available are all checked up front. Unauthorized work does not run, and the reason is recorded.
Existing systems connect as they are.
Internal SSO, repositories, issue trackers, and data platforms connect through MCP and adapters. There is no need to change how teams already work.
Available models are managed
Only models permitted for the user and the work can be selected. Your own models and approved external models can run under the same standard.
Execution is traceable end to end.
Who made the request, which permissions and policies applied, what ran, and what came out — all visible in one record.
Every request is checked against the same standard.
What is allowed, where it runs, and which models and tools it uses are confirmed for every request.
- 01SSO · tenant · actor
Confirm the requester
Verify the identity and affiliation of the user or agent so it is clear who requested the work.
- 02grant · policy · DLP
Check authority and policy
Confirm usage rights, data classification, business purpose, and the tools and time allowed, then decide whether the work can proceed.
- 03catalog · placement · scheduler
Set the model and environment
Choose the model, tools, and execution location that fit the work and its security conditions.
- 04inference adapter · tools
Execute by the defined procedure
Use only approved models and tools, and never execute in a way that departs from policy.
- 05decision · result · receipt
Record decisions and results
What was allowed or denied, which models and tools were used, and what the result was are recorded together.
You choose where execution runs.
Whatever the environment, permissions, approvals, and records stay under one standard.
Private cloud · VPC
Run your own models together with approved external services inside your dedicated network.
- Enterprise IdP integration
- Separation of data and work
- Department and workload access control
On-premises
Run on your own GPUs, storage, and internal systems without anything leaving the company.
- Internal model operation
- Internal storage and tool connections
- External transfer restricted
Hybrid
Split on-premises and cloud environments by the sensitivity of the work and its data.
- Per-workload environment settings
- Shared permission and approval policy
- Unified execution records
Who ran what, on which authority — it stays on the record.
Everything needed, from request to result, is recorded together. Which items are kept, and for how long, can be set to match your organization’s policy.
- Requester
- The person, service, or agent that made the request, with its enterprise account
- Authority
- Applied permission scope, policy version, and approval or denial with its reason
- Data
- Data classification, storage location, external-transfer conditions, and applied security policy
- Execution
- Models and tools used, execution location, and related configuration
- Outcome
- Success or failure, errors, approval history, and the execution result
Four principles that hold in operation.
Standards that hold consistently in real operation matter more than the number of features.
Clearly defined models and tools
The models and tools available are set by organizational and per-user permissions. Unauthorized models or tools cannot be used at will.
Execution only on approved paths
Every execution follows the defined procedure. Problems never trigger a detour through a separate path.
The same standard in every environment
Departments, workloads, and execution environments differ, but the same permission, policy, and security standards apply. No separate operating model is needed per environment.
Korean regulation and security standards, managed together
Control items for ISMS-P, the Personal Information Protection Act, the AI Framework Act, and ISO 42001 are visible in one place. Actual certification procedures remain each organization’s responsibility.
Bring Mirr Enterprise into your organization.
Building on user and agent permissions, data security standards, and your model and execution environments, we will review an adoption configuration that fits your company.