Our Software Assurance Solution gives organizations full visibility into Provenance, Supply Chain, Geopolitical & Regulatory Risk across Physical AI, Autonomous Vehicles, and Robotics (PAI-AVR) systems. Using advanced AI analysis, we continuously monitor Proprietary Software and Open Source Software (OSS) to flag high-risk components and anomalous activity. By combining this intelligence with full-stack risk insights, organizations can proactively defend against cyber threats while addressing Regulatory and Compliance requirements, helping ensure systems are secure, resilient, and mission-ready.
Key Capabilities Include:

Our proprietary Systems Engineering methodology enables comprehensive software risk evaluation across the full technology stack of Physical AI, Autonomous Vehicles, and Robotics (PAI-AVR) platforms. Unlike conventional approaches that examine components in isolation, we assess how software packages operate and interact across all layers — from embedded Firmware and Operating Systems to Middleware, AI/ML SDK frameworks and cloud integrations. This integrated perspective traces source code, direct and transitive third-party dependency risks within their operational context, revealing how vulnerabilities at any layer can impact system-level safety, performance, compliance, and mission assurance.
For our customers, the outcome is enhanced Software Assurance, Regulatory Risk Management, and operational efficiency. By deploying our Software Assurance Solution, organizations gain deep visibility into Proprietary Software and Open Source Software (OSS), exposing hidden vulnerabilities, risky dependencies, and supply chain exposures across the full Physical AI, Autonomous Vehicles, and Robotics (PAI-AVR) technology stack. Our Solution helps customers meet standards such as U.S. NDAA & CMMC, NATO STANAG & AQAP, EU & UK directives including NIS2 and the Cybersecurity & Resilience Bill (CSRB).
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