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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

ChallengeRiskRegulatory Exposure
Safety incident data leaked via AIRegulatory scrutiny, liabilityMSHA, state mine safety laws
Environmental monitoring data exposedGreenwashing accusations, finesEPA, NEPA, state environmental regs
Mineral rights data sent to LLMsCompetitive loss, lease disputesMining claims law, SEC disclosure
Remote operations AI acting autonomouslyEquipment damage, worker safetyOSHA, MSHA, automation safety standards
Indigenous land rights data mishandledCommunity relations damage, lawsuitsUNDRIP, FPIC requirements, tribal law
Geological survey data leakedExploration advantage lostTrade 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

  1. Dashboard — Monitor AI usage across exploration, mine operations, safety, and environment.
  2. Events — Filter by dlp-filter to review geological data redaction events.
  3. Escalations — Route safety procedure contradictions to the site safety manager.
  4. Templates — Maintain per-site and per-project policy configurations.
  5. Cost Center → Wallets — Track AI spend per mine site, exploration project, or department.
  6. Audit Log — Generate evidence for MSHA inspections and environmental audits.
  7. 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

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

Results You Can Expect

MetricBefore KeeptrustsAfter Keeptrusts
Geological data exposure incidentsUntracked0 exposures — DLP-filtered
MSHA audit evidence prep4-6 weeks< 2 days with automated exports
Safety AI contradiction rateUnvalidatedBlocked before reaching workers
Indigenous rights compliance gapsReactiveProactive FPIC enforcement
Remote operations AI risksManual oversightAgent-firewall restricted
Environmental report accuracyManual validationQuality-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-governance with chain: prompt-injectionrbacpii-detectordlp-filtersafety-filteragent-firewallquality-scoreraudit-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 doctor confirms 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