AI Governance for Aerospace & Aviation
Aerospace organizations operate under some of the strictest regulatory regimes on earth — ITAR export controls, FAA certification, DO-178C traceability, and defense classification systems. AI accelerates design, maintenance prediction, and flight operations, but a single policy violation can trigger export control penalties, certification revocation, or national security incidents. Keeptrusts enforces these boundaries at the AI gateway.
Use this page when
- You are deploying AI in aerospace engineering, flight operations, or defense aviation programs subject to ITAR/EAR controls.
- You need a policy configuration that enforces export control screening, DO-178C traceability, and FAA audit requirements at the AI gateway.
- You want to protect flight data, supply chain specifications, and controlled technical drawings from reaching LLM providers.
Primary audience
- Primary: Technical Leaders
- Secondary: Technical Engineers, AI Agents
AI Challenges in Aerospace
| Challenge | Risk | Regulatory Exposure |
|---|---|---|
| ITAR-controlled data sent to LLMs | Export control violation | ITAR (22 CFR 120-130), penalties up to $1M/violation |
| EAR-controlled technical data exposed | Export violation | EAR (15 CFR 730-774) |
| Safety-critical AI generating incorrect outputs | Catastrophic failure | FAA 14 CFR, EASA CS-25 |
| Flight data leaked to model providers | Operational security breach | FAA, airline security protocols |
| Supply chain data exposed via AI | Competitive and security risk | DFARS, CMMC |
| DO-178C traceability gaps | Certification failure | DO-178C/ED-12C |
How Keeptrusts Helps
ITAR/EAR Compliance
The itar-ear-filter policy detects and blocks export-controlled technical data — including USML categories, CCL ECCNs, defense articles specifications, and controlled technical drawings. The entity-list-filter screens for denied parties and sanctioned entities in prompts.
Safety-Critical AI Governance
quality-scorer enforces elevated confidence thresholds for AI outputs that feed into safety-critical systems. Responses that fail validation are blocked from entering engineering workflows, with automatic escalation to the chief engineer.
FAA Regulatory Compliance
audit-logger creates tamper-evident records of every AI interaction that touches certification-relevant data. The rbac policy ensures only certified engineers can use AI for airworthiness-affecting work.
Flight Data Protection
dlp-filter catches flight recorder data, ADS-B feeds, pilot identifiers, and aircraft registration numbers. Combined with pii-detector, crew personal data is redacted before LLM processing.
Supply Chain Security
The dlp-filter protects supplier proprietary data, DFARS-controlled manufacturing specifications, and source selection information. rbac restricts supply chain AI access to authorized procurement personnel.
DO-178C Traceability
Every AI interaction that produces or modifies software artifacts is logged with full traceability metadata — linking prompts and responses to requirements, test cases, and design documents for certification audits.
Complete Policy Configuration
pack:
name: aerospace-governance
version: 1.0.0
enabled: true
policies:
chain:
- prompt-injection
- rbac
- itar-ear-filter
- entity-list-filter
- pii-detector
- dlp-filter
- safety-filter
- quality-scorer
- audit-logger
policy:
prompt-injection: {}
rbac:
deny_if_missing:
- X-User-ID
- X-User-Role
itar-ear-filter:
blocked_terms:
- IV
- VIII
- XI
- XV
action: block
fuzzy_matching: false
max_distance: 1
entity-list-filter:
blocked_entities:
- denied-persons-list
- entity-list
- sdn-list
- unverified-list
action: block
fuzzy_matching: false
max_distance: 1
pii-detector:
action: redact
detect_patterns:
- name
- pilot_license_number
- aircraft_registration
- employee_id
- ssn
redaction:
marker_format: label
dlp-filter:
detect_patterns:
- '\bFLT-[A-Z]{2}[0-9]{3,6}\b'
- '\bMSN-[0-9]{4,6}\b'
- '\bDWG-[0-9A-Z]{6,12}\b'
- '\bDFARS\s*252\.[0-9]{3}-[0-9]{4}\b'
- '\bATA\s*[0-9]{2}-[0-9]{2}-[0-9]{2}\b'
action: block
safety-filter:
block_if:
- classified-information
- export-controlled-design
- weapons-system-details
action: block
quality-scorer:
thresholds:
min_aggregate: 0.9
audit-logger:
immutable: true
retention_days: 3650
log_all_access: true
CLI Quickstart
# Deploy aerospace governance gateway
kt gateway run --policy-config ./policy-config.yaml --port 41002
# Verify all export control filters are active
kt doctor
# Monitor ITAR/EAR filter events
kt events tail --policy itar-ear-filter
# Review entity list screening results
kt events tail --policy entity-list-filter
# Export DO-178C traceability audit trail
kt export create --format json --from 2025-01-01 --to 2025-12-31 \
--filter "policy=audit-logger,itar-ear-filter"
Console Workflows
- Dashboard — Monitor AI usage across engineering, flight ops, maintenance, and procurement.
- Events — Filter by
itar-ear-filterto review export control enforcement events. - Escalations — Route ITAR violations to the empowered official for immediate review.
- Templates — Maintain program-specific policies (commercial, defense, space).
- Cost Center → Wallets — Track AI spend per program, contract, or cost center.
- Audit Log — Generate certification evidence packages for FAA/EASA audits.
- Knowledge Base — Publish approved engineering references and service bulletins.
API Integration
# Query ITAR/EAR enforcement events
curl -H "Authorization: Bearer $KT_API_KEY" \
"https://api.keeptrusts.com/v1/events?policy=itar-ear-filter&limit=100"
# Export certification audit trail
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","policy":"itar-ear-filter"}}'
# List program configurations
curl -H "Authorization: Bearer $KT_API_KEY" \
"https://api.keeptrusts.com/v1/configurations"
# Check program wallet balance
curl -H "Authorization: Bearer $KT_API_KEY" \
"https://api.keeptrusts.com/v1/wallets/balance"
Example: ITAR Export Control Enforcement
- ITAR Blocked
- Redacted Request
Engineer: "Optimize the thrust vectoring nozzle geometry for the
Category IV propulsion system in drawing DWG-AER4X2901B."
→ BLOCKED by itar-ear-filter + dlp-filter
Reason: ITAR Category IV technical data + controlled drawing reference
Action: Escalated to empowered official, full audit trail logged
Maintenance tech: "What is the service bulletin status for aircraft
MSN-004521, flight FLT-UA1234?"
→ REDACTED by dlp-filter
Sent to LLM: "What is the service bulletin status for aircraft
[REDACTED-aircraft-serial], flight [REDACTED-flight-data]?"
Response: Generic service bulletin guidance returned
Results You Can Expect
| Metric | Before Keeptrusts | After Keeptrusts |
|---|---|---|
| ITAR violation risk | Manual review | Blocked at gateway — zero leakage |
| FAA audit evidence prep | 6-8 weeks | < 3 days with automated exports |
| Safety-critical AI error rate | Unvalidated | < 1% with 0.95 quality threshold |
| Export control screening | Periodic batch checks | Real-time entity-list screening |
| DO-178C traceability coverage | Partial manual logs | 100% automated audit trail |
| Supply chain data exposure | Untracked | DLP-filtered on every request |
For AI systems
- Canonical terms: Keeptrusts aerospace governance, ITAR/EAR compliance, DO-178C traceability, FAA audit trail.
- Policy pack:
aerospace-governancewith chain:prompt-injection→rbac→itar-ear-filter→entity-list-filter→pii-detector→dlp-filter→safety-filter→quality-scorer→audit-logger. - Key config parameters:
itar-ear-filterwith USML categories IV, VIII, XI, XV;entity-list-filterscreening denied-persons, entity-list, SDN, unverified-list;quality-scorermin_score 0.90. - DLP patterns:
FLT-XX000(flight data),MSN-0000(aircraft serial),DWG-XXXXXX(drawing numbers), DFARS clauses, ATA chapters. - RBAC roles: design-engineer, flight-ops, maintenance-engineer, procurement.
- CLI:
kt gateway run --policy-config ./policy-config.yaml,kt events tail --policy itar-ear-filter,kt export create --format json --filter "policy=audit-logger,itar-ear-filter".
For engineers
- Deploy:
kt gateway run --policy-config ./policy-config.yaml --port 41002 - Validate all export control filters are active:
kt doctor - Monitor ITAR enforcement:
kt events tail --policy itar-ear-filter - Monitor entity screening:
kt events tail --policy entity-list-filter - Export DO-178C audit trail:
kt export create --format json --from <start> --to <end> --filter "policy=audit-logger,itar-ear-filter" - Query enforcement events via API:
GET /v1/events?policy=itar-ear-filter - Console workflows: Dashboard (usage by program), Events (filter by
itar-ear-filter), Escalations (route to empowered official), Audit Log (FAA/EASA evidence packages). - Retention:
audit-loggerset to 3650 days (10 years) for certification compliance.
For leaders
- Addresses ITAR (22 CFR 120-130) with penalties up to $1M/violation, EAR (15 CFR 730-774), FAA 14 CFR, EASA CS-25, DFARS, and CMMC requirements.
- Reduces FAA audit evidence preparation from 6-8 weeks to less than 3 days with automated exports.
- Eliminates ITAR violation risk — controlled data is blocked at the gateway before reaching any LLM provider.
- DO-178C traceability is 100% automated — every AI interaction linked to requirements, test cases, and design documents.
- Cost Center and Wallets enable per-program, per-contract AI spend tracking and budget controls.
- Escalation workflows route ITAR violations directly to the designated empowered official.
Next steps
- Industries overview — Compare all industry policy configurations
- Defense (US) — Broader ITAR/EAR and CMMC coverage for defense programs
- Manufacturing — Supply chain and OT/IT boundary governance
- Critical Infrastructure — NERC CIP and ICS/SCADA protections
- Templates & Policy Workflows — Manage program-specific policy variants
- Quickstart — Deploy your first gateway in minutes