PQC Starter & Interoperability Lab
A practical test environment for exploring quantum-safe algorithms, HSM/PKI integration, hybrid protocols and migration behavior.
What this capability solves
PQC Starter & Interoperability Lab converts fragmented operational signals into an accountable digital workflow so teams can detect risk earlier, optimize resources and improve safety or productivity without losing human operational control.
Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.
Capability model
Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.
Reference Stack
Representative application, PKI/HSM, network and library components.
Algorithm Experiments
Test standards-based PQC implementations and libraries.
Hybrid Protocol
Validate classical+PQC interoperability.
HSM / PKI
Assess key storage, signing and certificate workflows.
Performance
Measure latency, CPU, memory and message-size impacts.
Evidence
Record configurations/results for migration decisions.
How the capability fits together
Final topology, control placement and deployment model are validated during discovery and detailed design.
Controls & governance
- Authorized and purpose-bound data collection
- Safety-first operational boundaries and human override
- Role-based access and asset ownership
- Data-quality and calibration controls
- Event/audit history and investigation evidence
- Cybersecurity for devices, edge and enterprise integration
Priority use cases
- PQC education
- Pilot qualification
- Vendor comparison
- Architecture validation
Key deliverables
- Operational/process assessment
- Reference architecture
- Pilot design/configuration
- Integration and data map
- SOP / escalation model
- KPI baseline and scale roadmap
Integration considerations
- IntegraQ
- PKI/HSM
- Network testbed
- Applications
- Dev tools
- Reporting
Phased delivery
Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.
