Vulnerability Management For PAI-AVR Systems
Proprietary & Open-Source Software (OSS): Source Code, SBOM, Direct & Transitive Third-Party Dependencies Security Scanning
Our Proprietary Software & Open Source Software (OSS) Vulnerability Management Solution is purpose-built to identify Supply Chain, Foreign Ownership, Control, or Influence (FOCI) & Regulatory Risk in source code, as well as direct and transitive third-party dependencies within the critical software powering Physical AI, Autonomous Vehicles, and Robotics (PAI-AVR). These systems increasingly rely on third-party components, making them vulnerable to adversarial influence, supply chain compromise, and regulatory exposure. Leveraging proprietary frameworks and continuous AI-native intelligence, our solution analyzes software projects, source code, and dependencies to detect high-risk components, anomalous code changes, and suspicious contributor behavior. Advanced capabilities flag components from high-risk adversarial nations, enabling organizations to proactively manage supply chain integrity, mitigate FOCI exposure, and maintain compliance with regulatory requirements in mission-critical software environments.
Traditional SCA & SAST Vulnerability Alerts Enhanced With Proprietary AI Agents & Agentic Workflows
Our proprietary Vulnerability Management Solution combines industry-leading SCA and SAST tools — including Black Duck and CodeQL — with proprietary AI Agents and Agentic Workflows to proactively identify and assign risk ratings to vulnerabilities in source code, as well as direct and transitive third-party dependencies across Physical AI, Autonomous Vehicles, and Robotics (PAI-AVR) systems. By embedding advanced scanning capabilities into CI/CD pipelines, our platform provides continuous, comprehensive analysis to detect known vulnerabilities.
SCA & SAST Analysis Customized To PAI-AVR Complex Code Bases, Including C and C++
Our proprietary security analysis frameworks for source code, direct and transitive third-party dependencies, are tailored to the complex software ecosystems within Physical AI, Autonomous Vehicles, and Robotics (PAI-AVR) platforms. We design customized workflows and automated pipelines to rigorously inspect and monitor source code, direct and transitive third-party dependencies, across a wide range of PAI-AVR programming languages — including C, C++, Python, Swift, Ruby, and others.
