Request-side leakage
Sensitive materials or credentials leave with context.
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.
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.
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.