Solution /Secure Enterprise AI

Make AI data access and actions follow enterprise rules.

Define checkpoints along model requests and tool execution, gradually integrating existing applications and agents.

Built for enterprise
01

Protect information

Control what may be accessed and sent.

02

Constrain actions

Keep tool calls within permissions and approvals.

03

Preserve evidence

Link events with identities, tasks and policy decisions.

01 / Four risk categories

Identify risk along the path of data and actions.

Break risk into concrete stages to determine what must be integrated and who is responsible.

Request-side leakage

Sensitive materials or credentials leave with context.

Connection risks

Processing nodes may access or change content; clarify paths and sources.

Response manipulation

Returned content may steer commands or tool parameters away from business objectives.

Excessive execution privileges

Agents may request actions beyond task permissions.

02 / Four checkpoints

Apply rules before sending, while routing and before execution.

Enterprise data passes through policy controls; only authorized content goes to external AI.
Concept illustration
03 / Solution architecture

Combine access, security and trust testing by responsibility.

Use Route Fence at control points, with identity-based access, resource tests and controlled workflows.

Route Fence

Policies for data checks, model access and tool execution.

API Platform

Unified model access, application identity and permissions.

Route Trust

Evidence on resource performance and anomalous signals.

X Worker

Organize digital-worker tasks and run controlled workflows within the integrated scope.

04 / Data and permission boundaries

Document deployment, credential and logging arrangements.

For each integration, define who processes data, who accesses credentials and what logs contain.

Enterprise-side processing

Define responsibilities between intranet or VPC gateways and external management services.

Credential management

Confirm where keys are stored, used, accessed and rotated.

Execution-side integration

List controlled tools and unintegrated paths to avoid misunderstandings about coverage.

Logs and approvals

Retain metadata, masked sensitive content and approval records as required.

05 / Incident response and next steps

Keep the response after detection traceable too.

When an unauthorized tool action appears, block or request approval, notify the owner, link evidence and review rules and coverage.

Detection and response

Integrated execution endpoints match rules and record rejected or pending-approval status.

Trace

Link tasks, identities, action parameters and policy versions.

Revise

Owners approve rule updates, followed by validation in a test scope.

Assessment preparation

Provide model entry points, agents, tools and sensitive-data categories to establish scope first.

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