Patent-Pending Architecture · April 2026

The trust boundary
enterprise AI still lacks

AI adoption in the enterprise is not limited by model capability. It is limited by the absence of a structurally enforced boundary between AI systems and raw sensitive data. Sentridock builds that boundary in hardware.

62%
Experimenting
23%
In Production
1/5
Have Governance
62%
Experimenting with AI agents
McKinsey 2025 — enterprises running AI pilots
23%
Actually scaling in production
McKinsey 2025 — the gap is structural, not technical
1/5
Have mature agent governance
Deloitte 2026 — yet 74% plan agentic deployment
No software to install — boundary enforced at hardware level, not inside the OS
🔒 No agent, no plugin, no SDK — nothing runs inside the host you are protecting
Zero software footprint — the boundary cannot be bypassed by the OS, AI model, or any software
The Structural Gap

Current approaches
all fall short — architecturally

API guardrails, DLP layers, agent connectors, and model safety tuning all share one fatal flaw: they operate inside the trust domain they are meant to protect.

Approach
Where Control Sits
Remaining Exposure
API Guardrails / DLP
Inside software trust domain
AI still sees raw data before policy fires
Agent / Connector Models
Assumes host + connector trust
Integrity not verified — raw data reachable
Secure Bridges
Access control layer
AI workflows depend on raw-data reachability
Model Safety Tuning
Inside the model only
Bypassed entirely by context injection
Core insight: The weakness is architectural position, not just policy quality.
How Sentridock Works

A closed loop —
six stages, one enforced boundary

The transformation happens before any software path reaches raw data. That is the only position that cannot be bypassed.

01 ——→
01 ↓
Raw Data
Screens, files, apps, sensors
02 ——→
02 ↓
Perception
Display framebuffer or HID capture
03 ↓
03 ↓
Trust Boundary
Hardware-enforced · Non-bypassable
Hardware Enforced
←— 04
04 ↓
Transform
Many-to-one irreversible sanitization
Hardware Enforced
←— 05
05 ↓
AI Reasoning
On protected abstractions only
↑ 06
06
Controlled Actuation
Governed output back to enterprise
↩ Loop closes — back to Step 01
Why hardware? Software guardrails live inside the trust domain they protect — and can be bypassed. A hardware-enforced boundary is structurally external: the transformation happens before any software path reaches raw data.
Live Scenario

See the boundary in action

A regulated enterprise knowledge worker uses an AI assistant. Watch what happens — with and without Sentridock.

Enterprise Environment
patient_records.db
PatientSarah Chen, DOB 1982-04-12
DiagnosisStage II carcinoma
SSNXXX-XX-4821
InsuranceBlueShield #7712A
PhysicianDr. M. Torres
KVM framebuffer / HID stream
No Boundary
Unprotected
Raw data passes through
AI Reasoning Layer
Waiting…
User: Summarise this patient record for the care team.
1Data on screen
2Perception capture
3Trust boundary
4AI receives…
\n
Why Sentridock

Control over conditions,
not just connections

✕ Conventional AI Stack
Connects AI to systems
  • Focuses on connecting AI to systems inside the software trust domain
  • Assumes host or connector trust — integrity not enforced
  • AI can reach raw enterprise data before any policy fires
  • Point feature or optional capability — easily bypassed
✓ Sentridock Boundary Model
Defines the conditions under which AI may operate
  • External, boundary-centric control layer — architectural position
  • Makes no trust assumptions — enforces the boundary structurally
  • AI never reaches raw data — mandatory, non-bypassable
  • Infrastructure control plane — not a feature, not optional
  • No software to install — nothing runs inside the host you are protecting
Zero Software Footprint
No agent. No plugin. No SDK. No driver. The boundary is enforced at the hardware layer — structurally outside every software path on the host. There is nothing to install, nothing to patch, and nothing that can be disabled by the system it protects.
This is where moat and enterprise relevance begin. Control over conditions — not just connections.
Early Access

We are building the trust boundary
enterprise AI still lacks

Sentridock is in early design-partner stage. We are working with regulated-industry organisations whose AI ambitions are currently constrained by trust and governance.

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Path A
Seed Investor
Join as a seed investor in Sentridock Inc. Full deck and data room available under NDA.
Path B
Strategic Partner / New BU
Explore IP injection and BU formation. Founder joins as BU Head / Chief Architect.