
Physical AI, Robotics, and Autonomous Systems (PAI-RAS) represent a fundamentally different class of technology risk. These systems integrate Hardware, Firmware, AI inference, and real-world actuation across tightly interdependent layers — each introducing its own distinct risk surface, and each capable of compounding technical, geopolitical, and regulatory exposure across the stack.
Conventional due diligence frameworks were not built for this level of complexity. They are not designed to analyze embedded firmware, assess AI model provenance, map foreign nexus exposure across multi-layered technology stacks, or evaluate compliance against dual-use defense and commercial regulatory regimes simultaneously. The result is a critical due diligence gap — and in PAI-RAS transactions, that gap can directly impact valuation, deal execution, and post-acquisition risk.
Risk spans the entire system. From Hardware and Firmware through Operating Systems, Middleware, and AI/ML SDKs — across Perception, Planning, and Control — to Simulation, Training, and Testing environments, every layer is a potential entry point. Every dependency introduces exposure. Every unassessed component becomes a risk carried forward into the investment.
Our Systems Assurance and Technology Diligence frameworks are purpose-built for the complexity of dual-use PAI-RAS technologies — delivering institutional-grade visibility across three critical risk dimensions that conventional diligence consistently overlooks.
Foreign Ownership, Control & Influence (FOCI): We map foreign nexus exposure across ownership structures, key personnel, embedded technologies, and supply chain relationships — identifying Geopolitical, Foreign Ownership, Cyber, and Regulatory Risk before they become post-close liabilities. Our proprietary risk models are calibrated against high-risk jurisdictions and threat actors, delivering a level of precision that traditional diligence frameworks cannot replicate.
Cyber Risk: We assess exposure across the full technology stack — from hardware and firmware through cloud infrastructure and AI toolchains —providing a system-level view of cyber risk rather than a point-in-time snapshot of surface vulnerabilities.
Regulatory Risk: Our assessments align against both commercial and defense standards, including NIST SP 800-161 , NIST SP 800-218 SSDF, U.S. interagency third-party risk guidance (Federal Reserve, OCC, FDIC), the National Defense Authorization Act (NDAA), NATO STANAG and AQAP frameworks, and EU/UK directives such as NIS2 and the Cyber Resilience Act (CRA).
The difference is not just what we assess — it is the depth, precision, and system-level intelligence we deliver to inform investment decisions.

Our HORIZON-X Platform, combined with our Managed Services, delivers decision-grade intelligence — calibrated for investment committees, deal teams, and risk underwriters who require clarity, not complexity.
Venture Capital and Private Equity: Early- and growth-stage PAI-RAS companies carry technical and regulatory risks that are often invisible to standard financial, legal, and technical diligence. We surface these risks before they impact valuation, erode returns, or create post-acquisition remediation costs that were never priced into the deal.
Mergers & Acquisitions (M&A): In PAI-RAS transactions, technology integration risk is systemic. Supply chain dependencies, foreign nexus exposure, and regulatory non-compliance do not disappear at close — they transfer. We provide deal teams with a complete, system-level view of risk before terms are finalized.
Across transactions, our structured intelligence strengthens investment committee decisions through clear materiality assessments, informs valuation with quantified risk exposure, reduces remediation costs by identifying issues pre-close, and enables early detection of FOCI exposure, prohibited technologies, and compliance gaps that could trigger regulatory review, export control violations, or insurance exclusions.
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