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IEC 62443 Aligned • NIST 800-82 Aligned • Purdue Model Zone Enforcement

API Security for Manufacturing
Protect Industrial Systems

The AI Security Layer for manufacturing: SHA-256 hash-chain audit for IP / trade-secret defensibility, OS-level sandbox for AI predictive-maintenance agents, command-allowlist enforcement on control-system APIs, and pre-mapped controls across 11 compliance frameworks. All 4 platforms from $399/mo.

IEC 62443 aligned
NIST 800-82 aligned
Tamper-evident hash-chain audit
85,000+
threat patterns (24 categories)
11
compliance frameworks mapped
SHA-256
tamper-evident hash-chain audit
Purdue
model zone enforcement
Air-gapped
deployment supported (OT networks)
OS-level
sandbox for predictive-maintenance AI
Target: Sub-5ms
gateway proxy overhead (cached)
99.9%
Enterprise SLA · 1-hr P1

Manufacturing API Threats We Prevent

Proactive protection against threats targeting industrial systems and OT networks

OT/IT Bridge Attacks

Attackers pivot from IT APIs to OT systems. Purdue model zone enforcement + Zero Trust risk scoring + SSRF guard on backend registration block lateral movement at the API layer.

Prevention: Network segmentation, anomaly detection, zone enforcement

IP Theft & Espionage

Nation-state actors target manufacturing APIs to steal designs, formulas, and production processes. Behavioral baselines + adaptive Z-score breaker + geo-blocking catch slow-and-low exfiltration over 24h windows.

Prevention: DLP rules, access control, geo-blocking

Production Sabotage

Attackers manipulate production APIs to alter set points or cause quality defects. Schema validation + command allowlisting + HMAC signature verification block tampered control payloads at the gateway.

Prevention: Command validation, integrity checks, anomaly detection

Four Platforms for Manufacturing

API Security + MCP Security + AI Gateway + Verification Engine — unified under one correlation ID for Industry 4.0 workloads

API Security

OT/IT Protection

Secure MES, SCADA, and ERP APIs. Purdue model zone enforcement with command allowlisting on every control-system call.

  • Purdue model zone enforcement
  • Industrial protocol validation
  • Command allowlisting

MCP Security

Predictive Maintenance

Secure AI agents that monitor equipment health and predict failures. Every tools/call passes 7 sequential checks — permission, MFA, rate limit, rug-pull (SHA-256), threat detect, forwarding, response scan — before touching sensor data or PLCs.

  • AI maintenance agent security
  • Sensor data access control
  • Equipment command validation

AI Gateway

Quality Control

Route LLM calls for quality control and defect detection. Proprietary IP scrubbing before LLM processing; adaptive Z-score circuit breaker for failover.

  • IP-safe LLM routing
  • Production data redaction
  • On-prem LLM support

Verification Engine

4 Validation Layers

Validate every AI-generated set point or maintenance directive before it reaches a PLC or work order. Real-time enforcement with staged rollout; BLOCK-capable on selected critical paths.

  • Command allowlist + forbidden-action constraints
  • Source grounding (citation verification on AI maintenance recommendations)
  • Structural validation (OPC UA, JSON schema, regex)

Every Tool Call Passes 7 Sequential Checks

Zero code changes to your MES, SCADA, or AI agent stack. Target: Sub-5ms gateway proxy overhead on cached, single-region paths.

1
Permission check
RBAC: does this operator/engineer access this Purdue zone or PLC?
2
MFA verification
TOTP required for set-point changes, recipe edits, and emergency overrides
3
Rate limiting
Sliding-window check, Redis-backed with in-memory fallback
4
Rug-pull verification
SHA-256 of tool definition vs. registered hash — block on drift
5
Threat detection
Scan tool arguments for injection patterns + IP / trade-secret markers
6
Server forwarding
Execute via stdio subprocess, HTTP, or WebSocket transport
7
Response scanning
IndirectInjectionScanner blocks LLM-directed instructions in output
Audit log written
Hash-chain entry: arguments, response, decision, correlation ID
Fail-closed quota state on Redis error • Per-key asyncio lock prevents TOCTOU races • 10 dedicated Prometheus metrics

5 Capabilities You Won't Find Anywhere Else

Not in Anthropic's MCP spec. Not in API gateways. Not in WAFs. Platform-level additions built for industrial workloads.

01

OS-Level MCP Sandbox

Subprocess MCP tools execute inside a hardened Linux sandbox. RLIMIT_CPU/AS/NOFILE/NPROC, setsid() process-group isolation, capability dropping, per-tool egress filtering, and shell binaries removed.

modules/mcp/sandbox/executor.py — 934 LOC
02

Tool Definition Hash Registry

SHA-256 hash of every maintenance tool definition pinned at tools/list. On every tools/call, the cached definition is re-hashed and compared. Drift raises MCPRugPullDetectedError, blocks execution, publishes a CRITICAL event.

modules/mcp/tool_registry.py • Redis-backed
03

Adaptive Z-Score Circuit Breaker

Statistical, not threshold-based. Z-score > 3.0 against per-shift time-of-day baselines (day shift vs lights-out). 4 overlapping sliding windows (1m/5m/15m/1h). Progressive recovery (10→25→50→100%).

gateway/ — 2,208 LOC combined
04

Cross-Pillar Correlation

Every event linked across all four pillars via shared correlation ID. One query: "Show me everything that happened from this work order — across MCP + API + Gateway + Verification." Architecturally impossible when layers are separate products.

mcp_contexts • parent-child causal chain
05

Tamper-Evident Audit System

SHA-256 genesis block, each entry signing the previous. Three verification levels (full / single / last-N). Tamper-evident evidence for IEC 62443 audits, FDA 21 CFR Part 11, and IP-theft litigation.

7 modules • 3,866 LOC combined
+

MCP Correlation Analyzer

Cross-session attack detection: 6-dimension risk score (max 110) across tool sensitivity, data volume, burst, denials, prior detections, and tool diversity. Catches coordinated APT espionage and 24h slow-and-low patterns.

MCPCorrelationAnalyzer — alert at score > 50

One Correlation ID. All Four Pillars.

A maintenance command traces forward to the AI tool call it triggered, the SCADA/MES API response, and the verification check that caught any drift before it reached the floor.

Operator
Shift Session
Prompt
Maintenance AI
Tool Call
SCADA / MES API
Response
Verification
Recorded in mcp_contexts for parent-child replay • Causal chain reconstruction in one query • Hash-chain entries are tamper-evident for IEC 62443 audits

Audit Evidence, Built In From Day One

Every control-system access appended to a hash-chain audit log. Cross-framework sync means a SOC 2 control automatically contributes evidence toward IEC 62443 and ISO 27001 where they overlap.

IEC 62443
aligned (zones + conduits)
NIST 800-82
aligned (ICS guidance)
SOC 2 Type II
observation in progress
ISO 27001
93 Annex A · aligned
FDA 21 CFR Part 11
audit-trail support
NIST CSF 2.0
106 subcategories

"-aligned" reflects capability posture. IEC 62443 certification requires an accredited certification body engagement on the customer's side; SOC 2 Type II observation in progress with external audit H2 2026.

Manufacturing Use Cases

Built for every type of manufacturing organization

Discrete Manufacturing

Protect automotive, aerospace, and electronics manufacturing APIs. Secure MES integrations and production scheduling.

APIs secured: /production, /quality, /inventory

Process Manufacturing

Secure chemical, pharmaceutical, and food processing APIs. Protect batch records and recipe management systems.

APIs secured: /batches, /recipes, /compliance

Smart Factories

Industry 4.0 API security for connected factories. Protect IoT sensors, digital twins, and cloud manufacturing platforms.

APIs secured: /sensors, /twins, /analytics

Secure Your Industrial APIs Today

Join manufacturers using G8KEPR to protect OT/IT systems, secure AI maintenance agents, and maintain IEC 62443 / NIST 800-82 alignment with documented evidence.

30-day free trial
IEC 62443 aligned
Air-gapped deployment supported