A single unauthorized model transfer can trigger catastrophic fines and reputational damage. We engineer the technical guardrails that make compliance automatic.
Service
Architecture review before implementation
Implementation scope and rollout planning
Clear next-step recommendation
Technical controls to prevent illegal export of regulated AI models and weights, ensuring compliance with frameworks like the Wassenaar Arrangement.
A single unauthorized model transfer can trigger catastrophic fines and reputational damage. We engineer the technical guardrails that make compliance automatic.
Wassenaar, EAR) directly into your MLOps pipelines. Models tagged for restricted jurisdictions are automatically encrypted and blocked from transfer.Trusted Execution Environments (TEEs) and hardware security modules to cryptographically bind model weights to approved infrastructure, preventing extraction.Deliverables: A compliant-by-design architecture with 99.9% enforcement accuracy, detailed audit trails, and integration with your existing CI/CD and model registry. Move faster without regulatory fear.
Ensure your entire AI stack is secure. Explore our comprehensive AI Governance and Compliance Frameworks or learn about securing data in transit with Confidential Computing for AI Workloads.
Our compliance engineering delivers measurable business value by transforming regulatory mandates into a competitive technical advantage. We implement controls that protect your IP, enable global expansion, and build investor trust.
Maintain continuous, compliant operations in regulated markets (EU, US, APAC) with automated checks against Wassenaar Arrangement and EAR lists. Our systems prevent unauthorized model exports, avoiding fines and operational shutdowns.
Safeguard proprietary model weights and training data with hardware-backed encryption and granular access logging. We implement air-gapped development environments and TEEs for sensitive R&D, ensuring your AI assets remain sovereign.
Provide enterprise clients and government agencies with verifiable compliance documentation and audit trails. Our integrated clearance systems (like USML and CCL) streamline security reviews, reducing procurement delays by weeks.
Demonstrate mature AI governance with technical controls that satisfy NIST AI RMF and ISO/IEC 42001 requirements. Our compliance architecture is a tangible asset that de-risks funding rounds and M&A due diligence.
Build on a flexible policy engine that adapts to new regulations like the EU AI Act and country-specific mandates. Our declarative rules update in hours, not months, keeping you ahead of the legislative curve.
Automate compliance checks within your CI/CD pipelines and MLOps workflows. We replace manual legal reviews with policy-as-code, eliminating bottlenecks and reducing the overhead of managing global deployments.
Our phased approach delivers immediate risk reduction while building towards a fully auditable, automated compliance posture. Compare the scope and outcomes of each engagement tier.
| Compliance Capability | Rapid Assessment | Core Implementation | Enterprise Automation |
|---|---|---|---|
Export Control Framework Gap Analysis | |||
Model Encryption & Access Logging Implementation | |||
Integration with Wassenaar Arrangement Lists | |||
Real-time Model Weight Movement Monitoring | |||
Automated Compliance Reporting & Audit Trail | |||
Integration with Sovereign AI Infrastructure | Optional | ||
Ongoing Policy Updates & Threat Monitoring | Ad-hoc | Quarterly | Continuous (SLA) |
Typical Implementation Timeline | 2-3 weeks | 6-10 weeks | 12-16 weeks |
Engagement Model | Consulting Report | Managed Implementation | Fully Managed Service |
Our AI export control compliance services are critical for technology companies operating in regulated sectors where unauthorized model transfer can result in severe penalties, operational shutdowns, or national security breaches.
Implementation of air-gapped model deployment and hardware-enforced encryption for autonomous systems, targeting, and surveillance AI to comply with ITAR and Wassenaar Arrangement controls. Prevents unauthorized transfer of dual-use technologies.
Secure development environments and access logging for AI models used in chip design (EDA), lithography, and yield optimization. Ensures compliance with CHIPS Act restrictions and prevents leakage of advanced process knowledge.
Controls for AI models involved in pathogen research, generative biology, and drug discovery to prevent proliferation risks. Integrates with government screening lists for sanctioned entities and research institutions.
Technical guardrails for AI/ML models that optimize quantum algorithms or simulate quantum systems. Implements model weight encryption and geo-fencing to comply with emerging quantum technology export controls.
Export-controlled AI for autonomous drones, swarm robotics, and industrial automation with military applications. Features usage logging, model watermarking, and integration with end-user certificate validation systems.
Compliance architecture for AI-driven cryptanalysis, vulnerability discovery, and intrusion detection systems classified under Category 5 - Part 2 of export control lists. Ensures secure model sharing within approved consortia.
Enabling Efficiency, Speed & Accuracy
We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.
Addressing the critical technical and operational questions CTOs and engineering leads ask when implementing controls to prevent unauthorized export of regulated AI models and weights.
For a standard deployment, implementation takes 2-4 weeks. This includes a 1-week discovery and scoping phase to identify regulated models and data flows, followed by 1-3 weeks of technical integration for encryption, access logging, and integration with government clearance systems like Wassenaar Arrangement lists. Complex architectures with multiple global regions may extend to 6-8 weeks.
About the author
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
The first call is a practical review of your use case and the right next step.
