
Our proprietary Systems Assurance Frameworks give organizations full-spectrum visibility into risks that span the multiple layers of Physical AI, Autonomous Systems, and Robotics (PAI-ASR) systems. From Hardware and Firmware to Operating Systems, Middleware, and Communications — through the Autonomous Perception, Planning, and Control stack, Human-Robot Interaction, Cloud and Edge infrastructure, Simulation and Testing environments, and the AI SDK layer — we provide a unified approach to risk detection, driven by AI-powered Provenance analysis to evaluate the origins, integrity, and trustworthiness of components across the Physical AI, Autonomous Systems, and Robotics (PAI-ASR) tech stack. This holistic coverage addresses the core customer challenge: vulnerabilities in one layer can cascade into system-wide failures, threatening safety, security, and mission success.
Our Supply Chain & Provenance Risk Analysis, powered by a proprietary AI Platform, delivers at scale, deep visibility into the origin, lineage, and trustworthiness of technologies driving Physical AI, Autonomous Systems, and Robotics (PAI-ASR). Covering the tech stack including: Hardware, Firmware, OS, Middleware, AI/ML (Perception, Planning, Control) SDK, and AI Simulation and Testing environments — our approach surfaces risks tied to foreign ownership, opaque development practices, and adversarial nation exposure.
For our customers, the outcome is enhanced Systems Assurance, Resilience, Compliance, and operational efficiency. By integrating Systems Assurance with Provenance Risk Analysis, we not only expose hidden vulnerabilities and supply chain risks across the full Physical AI, Autonomous Systems, and Robotics (PAI-ASR) technology stack, but also directly support adherence to critical Compliance requirements. Our Solution helps customers meet standards such as NIST, U.S. DoD NDAA & CMMC, NATO STANAG & AQAP, and EU directives including NIS2 and the Cybersecurity Resilience Act (CRA).
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