01 // SECURITY
Data Security
Trust boundary containment is designed to keep confidential data inside your internal controls and away from unapproved endpoints.
Enterprise AI Routing & Governance
Use AI on your most sensitive work — without it leaving the building.
AER by Vistruct is an enterprise AI routing and governance platform for regulated mid-size companies. It routes each AI request to a local device, an internal server, or an approved cloud model based on sensitivity and cost, so confidential data stays inside your trust boundary.
- Deployment
- On-Prem or Hybrid
- Runs on
- Hardware you already own
- Trust boundary
- Policy-enforced
- Routing logic
- Sensitivity & Cost
SYS_STATUS: ACTIVESECURE_BOUNDARY_V1
The problem
Governed AI execution for regulated operations.
Regulated organizations face a hard choice: use modern AI models to stay efficient, or restrict them to protect client data, intellectual property and regulatory standing.
AER removes the trade-off with policy-driven request routing. It evaluates data sensitivity and workload cost before anything runs, keeping confidential work on your own infrastructure while non-sensitive tasks use approved cloud compute.
- Requests are classified against policy before they leave the device.
- Raw data is not sent to endpoints you haven't approved.
- Token usage, cost and model activity are logged for audit.
Core values
Four things AER enforces on every request.
02 // EFFICIENCY
Cost Efficiency
Routing routine and high-sensitivity tasks to local hardware reduces cloud inference spend.
03 // GOVERNANCE
Built-in Governance
Audit trails, access rules and security logging are part of every model interaction.
04 // SOVEREIGNTY
Data Sovereignty
You decide where data lives and where models run, across employee devices and private servers.
Architecture overview
Multi-tier execution across local, on-prem, and approved cloud endpoints.
AER evaluates every AI call against your governance policies to choose the safest and most cost-effective place to run it.
TIER 1LOCAL / EDGE
Employee Device
High-sensitivity work containing confidential IP, personal data or regulated records stays on local hardware.
TIER 2PRIVATE SERVER
Internal Enterprise Server
Medium to high sensitivity tasks that need more compute go to self-hosted GPU servers inside the corporate firewall.
TIER 3EXTERNAL CLOUD
Approved Cloud Models
Non-sensitive queries go to approved external model APIs for speed and lower hardware overhead.
Product offerings
Enterprise products for complete AI data control.
CORE PLATFORM
AER AI Routing Platform
Routes AI requests across employee devices, private company servers and approved cloud models to keep sensitive data private and control cost.
- Routing Engine
- Sensitivity & Cost
- Trust Boundary
- On-Prem Isolation
- Governance Controls
- Audit & Logging
DEPLOYMENT PILOT
AER Pilot Program
Vistruct deploys AER in your environment, runs it against real workloads, and delivers a report on AI cost and quality.
- Deployment Model
- In Your Environment
- Workload Testing
- Your Real Workloads
- Deliverable
- Cost & Quality Report
Design targets
Built for regulated enterprise data.
AER enforces boundaries at the device and application layer. Compliance teams keep visibility into model usage while engineering teams keep the flexibility of modern AI tools. AER is currently in pilot; the figures here are design targets, not measured results.
- Sensitive Data Egress
- Blocked by policy
- Routing Overhead
- Target: low milliseconds
- Cloud Token Spend
- Target: measurable reduction
- Audit Coverage
- Every request logged