AI Governance for Manufacturing & Industry 4.0
Manufacturers are deploying AI for predictive maintenance, quality inspection, supply chain optimization, and shop-floor automation. These systems operate at the boundary between IT and OT (operational technology), process ITAR-controlled technical data in defense manufacturing, and must maintain rigorous audit trails for ISO and regulatory compliance. Keeptrusts enforces these boundaries so your smart factory initiatives stay safe, compliant, and cost-controlled.
Use this page when
- You are deploying AI for predictive maintenance, quality inspection, or supply chain optimization in manufacturing, especially defense manufacturing with ITAR controls.
- You need OT/IT boundary enforcement, ISO 9001/AS9100 audit trails, and export control filtering for ITAR-sensitive manufacturing data.
- You want to prevent AI from affecting operational technology systems and maintain quality control documentation for certification.
Primary audience
- Primary: Technical Leaders
- Secondary: Technical Engineers, AI Agents
AI Challenges in Manufacturing
| Challenge | Risk | Regulatory Exposure |
|---|---|---|
| ITAR-controlled data in AI prompts | Export control violation | ITAR, EAR |
| OT/IT boundary breach by AI systems | Safety and production risk | IEC 62443, NIST SP 800-82 |
| Supply chain data leakage | Competitive intelligence loss | Trade secret law, NDA obligations |
| Quality control AI without audit trail | Certification failure | ISO 9001, AS9100 |
| Predictive maintenance AI errors | Equipment damage, safety incidents | OSHA, product liability |
How Keeptrusts Helps
ITAR & Export Control Enforcement
The dlp-filter and safety-filter policies detect technical data subject to ITAR and EAR export controls. Controlled data is blocked from reaching non-authorized LLM providers, and every interaction is logged for compliance evidence.
OT/IT Boundary Enforcement
rbac policies ensure that AI systems on the shop floor operate within defined boundaries. The safety-filter blocks AI-generated commands that could affect OT systems, and the gateway logs every cross-boundary interaction.
Quality Control Audit Trail
The audit-logger captures every AI-assisted quality decision with full context — input data, model output, policy decisions, and timestamps. This satisfies ISO 9001 and AS9100 documentation requirements.
Complete Policy Configuration
pack:
name: manufacturing-governance
version: 1.0.0
enabled: true
policies:
chain:
- prompt-injection
- rbac
- dlp-filter
- safety-filter
- pii-detector
- quality-scorer
- audit-logger
policy:
prompt-injection: {}
rbac:
deny_if_missing:
- X-User-ID
- X-User-Role
dlp-filter:
detect_patterns:
- '\b(ITAR|USML|22\s*CFR)\b'
- '\b(ECCN|EAR99|9A004)\b'
- '\bDWG-[A-Z0-9]{6,10}\b'
- '\bPN-[0-9]{6,12}(-[A-Z]{2})?\b'
action: block
safety-filter:
block_if:
- ot-system-command
- plc-program-modification
- safety-system-override
- export-controlled-technical-data
action: block
pii-detector:
action: redact
detect_patterns:
- ssn
- email
- phone_number
redaction:
marker_format: label
quality-scorer:
thresholds:
min_aggregate: 0.85
audit-logger:
immutable: true
retention_days: 2555
log_all_access: true
CLI Quickstart
# Deploy manufacturing governance gateway
kt gateway run --policy-config ./policy-config.yaml --port 41002
# Verify ITAR and safety controls
kt doctor
# Monitor export control events
kt events tail --policy dlp-filter
# Export ISO 9001 quality audit trail
kt export create --format json --from 2025-01-01 --to 2025-12-31 \
--filter "policy=quality-scorer,audit-logger"
Console Workflows
- Dashboard — Monitor AI usage across production, quality, and supply chain teams.
- Events — Filter by
dlp-filterto review ITAR and export control blocks. - Escalations — Route safety-critical AI flags to the plant safety officer.
- Templates — Maintain configs per facility (defense plant vs. commercial plant).
- Cost Center → Wallets — Allocate AI budgets per production line or facility.
- Audit Log — Generate ISO 9001/AS9100 compliance documentation.
API Integration
# Query export control events
curl -H "Authorization: Bearer $KT_API_KEY" \
"https://api.keeptrusts.com/v1/events?policy=dlp-filter&limit=100"
# Export annual quality audit
curl -X POST -H "Authorization: Bearer $KT_API_KEY" \
"https://api.keeptrusts.com/v1/exports" \
-d '{"format":"json","filters":{"date_from":"2025-01-01","date_to":"2025-12-31"}}'
# List configurations across facilities
curl -H "Authorization: Bearer $KT_API_KEY" \
"https://api.keeptrusts.com/v1/configurations"
Example: ITAR Enforcement
- Blocked Request
- Allowed Request
Engineer: "Optimize the turbine blade geometry from drawing DWG-MIL78923."
→ BLOCKED by dlp-filter + safety-filter
Reason: ITAR-controlled drawing reference detected
Action: Blocked, event logged with full context
Inspector: "Analyze SPC data for dimensional tolerance on lot 2026-0312."
→ ALLOWED
DLP filter: No controlled data detected
Quality scorer: 0.91 — above threshold
Audit: Logged for ISO 9001 traceability
Results You Can Expect
| Metric | Before Keeptrusts | After Keeptrusts |
|---|---|---|
| ITAR violation risk | Manual review only | Blocked at gateway automatically |
| OT/IT boundary breaches | Undetected | 100% blocked by content filter |
| Quality audit prep (ISO 9001) | 3-5 weeks | < 3 days with automated exports |
| Predictive maintenance AI accuracy | Unvalidated | Enforced via quality scoring |
| AI spend per production line | Untracked | Real-time wallet-level visibility |
For AI systems
- Canonical terms: Keeptrusts manufacturing governance, OT/IT boundary, ITAR manufacturing, ISO 9001 audit trail, predictive maintenance AI.
- Policy pack:
manufacturing-governancewith chain:prompt-injection→rbac→dlp-filter→safety-filter→quality-scorer→safety-filter→audit-logger. - Key policies:
dlp-filter(ITAR technical data, manufacturing specs, supplier proprietary data),safety-filter(blocks OT commands, export-controlled design data),rbac(shop floor boundaries, authorized-only access),quality-scorer(predictive maintenance confidence),safety-filter(equipment safety validation),audit-logger(ISO 9001/AS9100 documentation). - CLI:
kt gateway run --policy-config ./policy-config.yaml,kt events tail --policy dlp-filter,kt events tail --policy safety-filter.
For engineers
- Deploy:
kt gateway run --policy-config ./policy-config.yaml --port 41002 - Validate:
kt doctorconfirms dlp-filter, safety-filter, rbac, quality-scorer, and audit-logger are active. - Monitor ITAR:
kt events tail --policy dlp-filter(export-controlled technical data, manufacturing specs). - Monitor OT boundary:
kt events tail --policy safety-filter(blocks AI-generated OT commands). - Monitor maintenance quality:
kt events tail --policy quality-scorer(predictive maintenance confidence). - Export ISO evidence:
kt export create --format json --filter "policy=audit-logger,quality-scorer" - Console: Events (filter by
dlp-filter), Escalations (route to plant manager/FSO), Audit Log (ISO 9001/AS9100 certification evidence).
For leaders
- Addresses ITAR/EAR (export controls for defense manufacturing), IEC 62443/NIST SP 800-82 (OT security), ISO 9001/AS9100 (quality management), OSHA (workplace safety), and product liability requirements.
- OT/IT boundary technically enforced — AI cannot generate commands that affect operational technology systems.
- ITAR-controlled manufacturing data blocked from reaching unauthorized LLM providers.
- ISO 9001/AS9100 quality documentation automated — every AI-assisted quality decision logged with full context.
- Predictive maintenance AI quality-gated to prevent equipment damage from incorrect recommendations.
- Supply chain data protected from competitive exposure through DLP filtering.
Next steps
- Industries overview — Compare all industry policy configurations
- Aerospace — Aviation manufacturing and DO-178C
- Defense (US) — ITAR/EAR for defense industrial base
- Critical Infrastructure — OT/ICS protections
- Supply Chain — Procurement and vendor governance
- Quickstart — Deploy your first gateway in minutes