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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

ChallengeRiskRegulatory Exposure
ITAR-controlled data in AI promptsExport control violationITAR, EAR
OT/IT boundary breach by AI systemsSafety and production riskIEC 62443, NIST SP 800-82
Supply chain data leakageCompetitive intelligence lossTrade secret law, NDA obligations
Quality control AI without audit trailCertification failureISO 9001, AS9100
Predictive maintenance AI errorsEquipment damage, safety incidentsOSHA, 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

  1. Dashboard — Monitor AI usage across production, quality, and supply chain teams.
  2. Events — Filter by dlp-filter to review ITAR and export control blocks.
  3. Escalations — Route safety-critical AI flags to the plant safety officer.
  4. Templates — Maintain configs per facility (defense plant vs. commercial plant).
  5. Cost Center → Wallets — Allocate AI budgets per production line or facility.
  6. 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

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

Results You Can Expect

MetricBefore KeeptrustsAfter Keeptrusts
ITAR violation riskManual review onlyBlocked at gateway automatically
OT/IT boundary breachesUndetected100% blocked by content filter
Quality audit prep (ISO 9001)3-5 weeks< 3 days with automated exports
Predictive maintenance AI accuracyUnvalidatedEnforced via quality scoring
AI spend per production lineUntrackedReal-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-governance with chain: prompt-injectionrbacdlp-filtersafety-filterquality-scorersafety-filteraudit-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 doctor confirms 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