CHIPS Act Supplier

Scenario: A 300-person semiconductor packaging shop that landed a CHIPS Act incentive agreement. DOD contract requires CMMC Level 2 by end of year. The shop runs three production lines with Allen-Bradley PLCs, a Rockwell FTPC historian, and Infor EAM as their CMMS. They need an AI assistant that is CMMC-compliant from day one.

Architecture for This Use Case

Cloud (Azure Gov)
    └── Anthropic Claude (via Bedrock GovCloud endpoint)

Edge Server (on-prem, air-gapped production floor)
    ├── industrial-agents framework
    ├── OPA policy engine (cmmc_l2.rego)
    ├── Mosquitto MQTT broker (Sparkplug B)
    ├── ChromaDB (SOP vectors)
    └── Jaeger (distributed tracing)

Field Devices (Purdue zone 0–2)
    ├── Allen-Bradley PLCs → MQTT gateway → Sparkplug B
    └── Rockwell FTPC historian → OPC UA read-only

Deployment

# Use AWS Bedrock for the LLM (GovCloud endpoint)
export LLM_PROVIDER=bedrock
export AWS_DEFAULT_REGION=us-gov-west-1
export BEDROCK_MODEL_ID=anthropic.claude-3-5-sonnet-20241022-v2:0

# Generate synthetic test data before go-live
industrial-agents seed-synthetic --hours 168 --format parquet

# Run the full benchmark against the Bedrock endpoint
industrial-agents bench --suite all --provider bedrock

CMMC Level 2 Controls in Production

Domain	Practice	Implementation
AC	AC.L2-3.1.3 (CUI flow)	UNSContextBrokerAgent blocks cross-zone writes
AU	AU.L2-3.3.1 (audit logs)	OpenLineage events to immutable S3 bucket
AU	AU.L2-3.3.2 (user accountability)	Ed25519-signed AgentDecision objects
CM	CM.L2-3.4.1 (baseline config)	All YAML configs in git, signed commits
IA	IA.L2-3.5.1 (user ID)	AgentMessage.sender field in every message
RA	RA.L2-3.11.1 (risk assessment)	AnomalyRootCauseAgent with FMEA traversal
SI	SI.L2-3.14.6 (attack detection)	IndustrialMetrics Prometheus dashboards

Governance Export for Auditors

# Export all signed decisions for the audit period
industrial-agents governance-export \
  --since 2026-01-01T00:00:00Z \
  --format json > cmmc_audit_2026_q1.json

Each record in the export includes: - Agent name and action taken - Ed25519 signature (verifiable against the public key in config/) - NIST AI RMF function tag - Purdue zone of the affected resource - Confidence score and reversibility classification