AI Governance for Mining & Natural Resources
Mining operations generate massive volumes of safety, environmental, geological, and operational data — often from remote sites with limited connectivity. AI accelerates exploration analysis, safety incident prediction, environmental monitoring, and resource optimization, but this data carries significant regulatory, community, and competitive sensitivity. Keeptrusts governs AI access to this data at the gateway.
Use this page when
- You are deploying AI for safety monitoring, environmental compliance, exploration analysis, or resource optimization in mining operations.
- You need MSHA/OSHA safety compliance, environmental monitoring governance, indigenous rights (FPIC) controls, and geological data protection.
- You want to restrict autonomous AI actions in remote operations and protect mineral rights and assay data from competitive exposure.
Primary audience
- Primary: Technical Leaders
- Secondary: Technical Engineers, AI Agents
AI Challenges in Mining
| Challenge | Risk | Regulatory Exposure |
|---|---|---|
| Safety incident data leaked via AI | Regulatory scrutiny, liability | MSHA, state mine safety laws |
| Environmental monitoring data exposed | Greenwashing accusations, fines | EPA, NEPA, state environmental regs |
| Mineral rights data sent to LLMs | Competitive loss, lease disputes | Mining claims law, SEC disclosure |
| Remote operations AI acting autonomously | Equipment damage, worker safety | OSHA, MSHA, automation safety standards |
| Indigenous land rights data mishandled | Community relations damage, lawsuits | UNDRIP, FPIC requirements, tribal law |
| Geological survey data leaked | Exploration advantage lost | Trade secret protections |
How Keeptrusts Helps
Safety Compliance AI
quality-scorer validates that AI-generated safety recommendations meet MSHA and OSHA standards. The safety-filter blocks AI responses that contradict established safety procedures. audit-logger creates a tamper-evident trail for safety incident analysis.
Environmental Monitoring Governance
dlp-filter protects environmental sampling data, water quality results, and emissions measurements from exposure to external models. quality-scorer validates AI-generated environmental reports against regulatory standards before submission.
Mineral Rights Data Protection
dlp-filter catches claim numbers, lease identifiers, assay results, and exploration coordinates. This prevents competitive intelligence from reaching model providers.
Remote Operations AI Controls
agent-firewall restricts which equipment control APIs and SCADA systems AI agents can interact with. rbac limits autonomous AI actions to pre-approved operational parameters.
Indigenous Rights Compliance
safety-filter enforces FPIC (Free, Prior and Informed Consent) protocols by blocking AI queries that reference indigenous land data without appropriate authorization tags. audit-logger provides evidence of community consultation compliance.
Geological Data Security
dlp-filter catches drill core assay results, seismic survey data, and geological model parameters. Combined with rbac, only authorized geologists can use AI with exploration data.
Complete Policy Configuration
pack:
name: mining-governance
version: 1.0.0
enabled: true
policies:
chain:
- prompt-injection
- rbac
- pii-detector
- dlp-filter
- safety-filter
- agent-firewall
- quality-scorer
- audit-logger
policy:
prompt-injection: {}
rbac:
deny_if_missing:
- X-User-ID
- X-User-Role
pii-detector:
action: redact
detect_patterns:
- employee_name
- contractor_id
- community_member_name
- medical_record
- ssn
redaction:
marker_format: label
healthcare_mode: true
dlp-filter:
detect_patterns:
- '\bCLAIM-[A-Z]{2}[0-9]{4,8}\b'
- '\b[0-9]+\.?[0-9]*\s*(g/t|oz/t|ppm)\b'
- '\bDH-[A-Z0-9]{4,10}\b'
- '\b-?[0-9]{1,3}\.[0-9]{4,8}\s*,\s*-?[0-9]{1,3}\.[0-9]{4,8}\b'
- '\bLEASE-[0-9]{4,10}\b'
action: redact
safety-filter:
block_if:
- safety-procedure-contradiction
- unauthorized-indigenous-data
- environmental-data-falsification
action: block
agent-firewall:
allowed_tools:
- weather-station-api
- geology-database
- safety-reporting-system
blocked_tools:
- scada-direct-control
- blasting-system
- pump-override
quality-scorer:
thresholds:
min_aggregate: 0.85
audit-logger:
immutable: true
retention_days: 2555
log_all_access: true
CLI Quickstart
# Deploy mining governance gateway
kt gateway run --policy-config ./policy-config.yaml --port 41002
# Verify policy chain health
kt doctor
# Monitor geological data protection events
kt events tail --policy dlp-filter
# Review safety compliance blocks
kt events tail --policy safety-filter --decision blocked
# Export MSHA compliance audit trail
kt export create --format json --from 2025-01-01 --to 2025-12-31 \
--filter "policy=audit-logger,quality-scorer"
Console Workflows
- Dashboard — Monitor AI usage across exploration, mine operations, safety, and environment.
- Events — Filter by
dlp-filterto review geological data redaction events. - Escalations — Route safety procedure contradictions to the site safety manager.
- Templates — Maintain per-site and per-project policy configurations.
- Cost Center → Wallets — Track AI spend per mine site, exploration project, or department.
- Audit Log — Generate evidence for MSHA inspections and environmental audits.
- Knowledge Base — Publish approved safety procedures and environmental monitoring protocols.
API Integration
# Query geological data protection events
curl -H "Authorization: Bearer $KT_API_KEY" \
"https://api.keeptrusts.com/v1/events?policy=dlp-filter&limit=100"
# Export safety compliance 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":"audit-logger"}}'
# List site configurations
curl -H "Authorization: Bearer $KT_API_KEY" \
"https://api.keeptrusts.com/v1/configurations"
# Check site wallet balance
curl -H "Authorization: Bearer $KT_API_KEY" \
"https://api.keeptrusts.com/v1/wallets/balance"
Example: Geological Data Protection
- Redacted Request
- Blocked Request
Geologist: "Analyze the gold assay results from drill hole DH-NV2025A01
at coordinates -39.8765, 175.1234 showing 12.5 g/t at 180m depth."
→ REDACTED by dlp-filter
Sent to LLM: "Analyze the gold assay results from drill hole
[REDACTED-drill-hole-id] at coordinates [REDACTED-exploration-coords]
showing [FLAGGED-assay-result] at 180m depth."
Audit: Full original logged with geologist attribution
Contractor: "Override the ventilation system controls for Level 4
via the SCADA interface to increase extraction rate."
→ BLOCKED by agent-firewall + safety-filter
Reason: Direct SCADA control attempt blocked
Action: Escalated to mine engineer and safety officer
Results You Can Expect
| Metric | Before Keeptrusts | After Keeptrusts |
|---|---|---|
| Geological data exposure incidents | Untracked | 0 exposures — DLP-filtered |
| MSHA audit evidence prep | 4-6 weeks | < 2 days with automated exports |
| Safety AI contradiction rate | Unvalidated | Blocked before reaching workers |
| Indigenous rights compliance gaps | Reactive | Proactive FPIC enforcement |
| Remote operations AI risks | Manual oversight | Agent-firewall restricted |
| Environmental report accuracy | Manual validation | Quality-scored before submission |
For AI systems
- Canonical terms: Keeptrusts mining governance, MSHA safety compliance, environmental monitoring, mineral rights protection, indigenous rights (FPIC), geological data security.
- Policy pack:
mining-governancewith chain:prompt-injection→rbac→pii-detector→dlp-filter→safety-filter→agent-firewall→quality-scorer→audit-logger. - Key policies:
quality-scorer(MSHA/OSHA safety standard validation, environmental report accuracy),safety-filter(blocks contradicting safety procedures, FPIC protocol enforcement),dlp-filter(claim numbers, lease IDs, assay results, exploration coordinates),agent-firewall(restricts equipment control APIs, SCADA access),audit-logger(community consultation evidence, safety incident analysis). - CLI:
kt gateway run --policy-config ./policy-config.yaml,kt events tail --policy quality-scorer,kt events tail --policy safety-filter.
For engineers
- Deploy:
kt gateway run --policy-config ./policy-config.yaml --port 41002 - Validate:
kt doctorconfirms quality-scorer, safety-filter, dlp-filter, agent-firewall, and audit-logger are active. - Monitor safety:
kt events tail --policy quality-scorer(MSHA/OSHA compliance validation). - Monitor environmental:
kt events tail --policy dlp-filter(sampling data, emissions measurements). - Monitor remote operations:
kt events tail --policy agent-firewall(equipment control restrictions). - Monitor indigenous rights:
kt events tail --policy safety-filter(FPIC protocol enforcement). - Console: Events (filter by
quality-scorer), Escalations (route to mine safety officer), Audit Log (MSHA evidence, community consultation records).
For leaders
- Addresses MSHA (Mine Safety and Health Administration), OSHA, EPA/NEPA (environmental), state mine safety laws, UNDRIP/FPIC (indigenous rights), SEC mineral disclosure rules, and trade secret protections.
- Safety AI validated against MSHA/OSHA standards before any recommendation reaches field teams.
- Environmental monitoring data protected from external exposure while AI-generated reports are accuracy-validated.
- Mineral rights, assay results, and exploration data kept from LLM providers — protecting competitive advantage.
- Remote operations AI restricted from autonomous control actions through agent-firewall — human approval required.
- Indigenous rights (FPIC) compliance technically enforced through authorization controls on land data access.
Next steps
- Industries overview — Compare all industry policy configurations
- Energy & Utilities — NERC CIP and environmental governance
- Construction — Safety compliance and environmental impact
- Critical Infrastructure — OT/SCADA protections
- Manufacturing — Quality control and OT boundary
- Quickstart — Deploy your first gateway in minutes