Privacy Local Ai
Keep sensitive video and sensor processing on site.
Use a local edge architecture to minimize data movement, upload only necessary events and maintain clearer separation between device and management networks.
Detailed application directions built around one configurable C5 BOX platform.
On-site by default
Processing
Events and metadata
Data output
Dual-LAN separation
Network
TPM/TCM option
Security
Design for the real deployment, not only the demo.
Each page separates the hardware foundation from project-specific software, environmental, security and acceptance requirements.
01
Local processing is not automatically private
Purpose, inputs, outputs, retention, access and operator actions still need governance.
02
Security claims require implementation evidence
A TPM label alone does not prove secure boot, protected keys or an update process.
03
Minimization needs technical rules
The system must define what is discarded, retained, transformed and transmitted.
04
Support creates an access path
Remote diagnostics and maintenance need authentication, authorization and audit.
A clear path from source to business outcome.
Interfaces and responsibilities are frozen during feasibility review and verified with the target equipment.
SENSITIVE INPUT
On-site video and sensors
Raw data remains within the defined local trust boundary.
LOCAL PROCESSING
C5 BOX
Inference, filtering, aggregation and event-rule execution.
MINIMIZED OUTPUT
Events and evidence
Structured metadata and only necessary snapshots or clips.
PRIVATE PLATFORM
Customer-controlled systems
Storage, review, workflow, retention and governance.
What the solution must do.
C5 BOX supplies compute and I/O. The complete solution includes project software, configuration, documentation and evidence.
Edge minimization
Discard non-event frames and expose only the data fields required by the business workflow.
Network separation
Use dual Ethernet to separate sensitive source networks from management or application networks.
Device identity
Use project-defined unique credentials and, where implemented, a validated TPM/TCM path.
Signed maintenance
Define update signing, authorization, rollout, rollback and evidence retention.
Auditable operations
Log configuration, access, service actions, exports and software versions.
Move from requirements to a repeatable rollout.
Use gated engineering steps so that performance, responsibility and support boundaries are visible before production.
01
Data mapping
Identify every input, derived field, output, recipient and retention period.
02
Threat model
Define assets, trust boundaries, users, services, update authority and attack paths.
03
Platform hardening
Disable unused services and apply credential, firewall and logging policy.
04
Evidence test
Verify data minimization, access control, update, rollback and audit logs.
05
Support plan
Publish the support period, vulnerability intake and customer notification process.
Evidence to collect before production.
Acceptance criteria should be written into the PoC plan and measured under representative load and failure conditions.
Data inventory
Document raw, derived, retained and exported data.
Secure boot
Show the implemented boot chain and failure behavior, not only a feature claim.
Identity and keys
Unique credentials, protected storage, rotation and recovery.
Update security
Signed package, authorization, rollback and interrupted-update recovery.
Exposure
Port, service, firewall, remote access and dependency review.
Lifecycle
SBOM, vulnerability channel, response process and support end date.
Solution boundary
Local processing can support privacy goals but does not by itself establish GDPR, UK GDPR, sectoral or customer-policy compliance. A project-specific legal and security assessment is still required.
C5-BOX
Finalize the SKU only after the interfaces, workload, environment, software scope and certification route are known.
Explore adjacent C5 BOX solutions.
Security and operations
Turn selected camera streams into local events
OEM platform
Move AI software from demo hardware to a repeatable product
EHS and operations
Add a local AI warning layer to safety workflows
Share the application, interfaces and acceptance targets.
Include the operating system, camera or device list, quantity, deployment region and target timeline.
For integration and OEM enquiries
sales@example.com