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Manufacturing

Protect manufacturing IP, trade secrets, and industrial designs.

Every AI tool your engineers use is a potential path for proprietary process data, export-controlled technical data, and competitive IP to leave your environment. Arbitex puts a governance layer in front of every AI call — inspecting, classifying, and enforcing before any data reaches a model endpoint — so your industrial knowledge stays where it belongs.

Capabilities

Capabilities

AI governance built for industrial IP protection.

CAD and Design File DLP

Proprietary CAD drawings, 3D model data, engineering schematics, and design specifications represent some of the highest-value IP a manufacturer holds. Engineers using AI tools to review, annotate, or transform design files create an uncontrolled path for that data to reach external model endpoints. Arbitex detects design file content embedded in AI prompts — including encoded geometry data, specification metadata, and structured CAD formats — and enforces policies before any model processes the request. Sensitive design IP stays inside your authorized environment regardless of which AI assistant your engineers reach for.

Supply Chain Communication Governance

Supplier communications, procurement data, vendor credentials, and supply chain logistics information flow across AI-assisted workflows at every stage of modern manufacturing. When engineers draft RFQ responses, summarize supplier contracts, or analyze logistics data with AI tools, proprietary procurement terms and vendor-sensitive information are exposed to unauthorized model endpoints. Arbitex classifies and enforces supply chain data policies in-path — detecting contract terms, pricing structures, vendor credentials, and NDA-protected supplier information before any AI model sees them. Policy enforcement applies uniformly whether the request originates from a procurement system, an ERP integration, or an engineer's browser.

M&A Due Diligence Protection

Mergers, acquisitions, and joint venture negotiations generate some of the most sensitive data in a manufacturer's lifecycle: trade secrets, financial projections, valuation models, and deal terms whose premature disclosure can destroy deal value or trigger regulatory scrutiny. AI-assisted due diligence analysis accelerates this process but creates new exposure vectors when deal documents are fed into general-purpose models. Arbitex detects financial projection data, valuation model content, deal term language, and trade secret disclosures before they reach any model endpoint. Enforcement actions — block, redact, or route to an authorized model under tighter logging — execute transparently within your existing AI workflows without disrupting analyst productivity.

Export-Controlled Technical Data at the AI Boundary

Export-controlled technical data — defense articles on the USML, dual-use commodities under the Commerce Control List, and items governed by ECCN classifications — must never reach unauthorized model endpoints or cross jurisdictional boundaries without proper authorization. Arbitex inspects every AI prompt before a model processes it. Arbitex does not ship ECCN or USML detectors: your export compliance team authors org DLP rules for the classifications in scope, and those rules run through all three inspection tiers — structural matching at Tier 1, ML-based detection of controlled technical content in free-text engineering queries at Tier 2, and contextual validation at Tier 3 to resolve ambiguity before enforcement fires. Every detection is recorded with its rule reference in the tamper-evident audit log, providing the evidence trail export compliance programs need for regulatory reviews.

Industrial IoT Data Governance

Connected factory equipment — PLCs, SCADA systems, MES platforms, and industrial sensors — generates telemetry data that carries significant competitive and operational value. As AI-assisted analytics tools reach into OT environments to query process parameters, calibration data, quality metrics, and production recipes, that proprietary operational data flows through paths that were never designed for IP governance. Arbitex sits at the OT/IT boundary and inspects AI requests that carry IIoT telemetry before they leave the operational network. Policy enforcement applies whether the request originates from an automated workflow, an engineer's workstation query, or an analytics platform pulling live process data into a model prompt.

Employee IP Theft Prevention

Proprietary process data, manufacturing know-how, trade secrets, and formulation details are high-value targets for exfiltration — and AI tools create frictionless new channels for that data to leave your environment. Disgruntled employees, departing personnel, and insider threats can use general-purpose AI assistants to extract, summarize, or reformat proprietary process knowledge before copying it elsewhere. Arbitex detects behavioral patterns associated with IP exfiltration: bulk extraction of process specifications, repeated queries about proprietary formulations, and prompts that combine trade-secret-adjacent content with reformatting or export instructions. Enforcement blocks or escalates these interactions in real time, and every flagged event is logged with full context for security team review.

How it works

01

Connect your AI tools

The Arbitex data plane deploys inside your environment — on-premises, inside your plant VPC, or at the edge of your OT network — using Docker Compose or Kubernetes. Engineers, automated workflows, and integrated systems point their AI requests at the Arbitex gateway endpoint. The gateway proxies all traffic to your configured model providers: existing tools and integrations continue working without modification. No manufacturing data transits Arbitex-controlled infrastructure.

02

Configure policies for your IP and compliance obligations

Your compliance bundle and IP protection policies activate the relevant detection and enforcement controls. DLP inspection runs across all three tiers — structural pattern matching at Tier 1, entity recognition at Tier 2, and contextual validation at Tier 3 — before the policy engine applies routing and enforcement. Shipped detectors cover design file content, supply chain credentials, financial due diligence material, and proprietary process data; export-control classifications are covered by org rules your team authors. Enforcement actions — block, redact, route to an authorized model, or escalate for review — are configured per policy category without requiring separate deployment per use case.

03

Enforce in real time, audit continuously

Every AI interaction is inspected and enforced before any data reaches a model endpoint. Enforcement decisions execute in-path with sub-100ms latency, transparent to end users. The tamper-proof audit log accumulates a tamper-resistant record of every enforcement action, detection event, and policy match, each with its policy reference. Signed log exports give your compliance staff the AI-usage evidence they carry into export compliance documentation, CMMC assessment evidence packages, and security incident investigations. SIEM integrations deliver enforcement metrics for continuous monitoring across your engineering and operations teams.

Compliance mapping

Six frameworks. One policy layer.

Each compliance obligation maps to a specific Arbitex capability. All bundles are active simultaneously — no separate configuration per framework or program requirement.

ITAR
International Traffic in Arms Regulations

Governs export-controlled defense articles and technical data. Arbitex does not ship USML detectors; your team authors org DLP rules for the categories in scope, which run through all three inspection tiers with full audit evidence.

EAR
Export Administration Regulations

Dual-use technology controls under the Commerce Control List. Arbitex does not ship ECCN detectors; ECCN patterns are authored as org DLP rules and enforced across AI-assisted engineering and procurement workflows.

NIST SP 800-171
Protecting CUI in Nonfederal Systems

CUI security requirements for nonfederal systems. AI operations are inspected, enforced, and logged end-to-end; mapping that evidence to specific requirements remains your compliance team’s responsibility.

CMMC
Cybersecurity Maturity Model Certification

CUI handling requirements facing the defense industrial base. Arbitex does not ship a CMMC bundle; its tamper-evident audit logs provide the AI-usage evidence trail used in DIBCAC assessments and prime contractor compliance reviews.

GDPR
General Data Protection Regulation

Personal data detection and cross-border transfer controls for manufacturing operations with EU employees, suppliers, or customers. AI interactions touching personal data are inspected and governed under your configured data residency policies.

CCPA
California Consumer Privacy Act

Consumer and employee personal information detection for manufacturers operating in California or with California-based supply chain partners. AI-assisted workflows are inspected for personal information before any model processes the data.

Related Resources

DLP Protection

Inspect every AI prompt for sensitive data

Policy Engine

Rules-based governance for every AI request

Compliance Frameworks

Pre-built policy packs for regulatory requirements

Outpost Deployment

Air-gap on-premises AI governance

Ready to protect your manufacturing IP across every AI tool?

Talk to an Arbitex engineer about CAD/design file DLP, custom rules for export-controlled technical data, supply chain governance, and IP theft prevention for your manufacturing environment.