Our Proprietary Software & Open Source Software (OSS) Vulnerability Management Solution is purpose-built to identify Provenance, Supply Chain, Geopolitical & Regulatory Risk in source code, direct and transitive third-party dependencies within the critical software driving innovation in Physical AI, Autonomous Vehicles, and Robotics (PAI-AVR). These technologies rely heavily on OSS and proprietary software but face growing challenges, including security vulnerabilities, supply chain exposures, and insider threats. Leveraging proprietary frameworks and continuous AI-Native intelligence, our Solution analyzes software projects, source code and dependencies to detect high-risk vulnerabilities, anomalous code changes, and suspicious contributor behavior. Advanced capabilities flag components from high-risk adversarial nations, empowering organizations to proactively defend against nation-state cyber threats

Our proprietary Vulnerability Management Solution leveraging industry-leading SCA and SAST tools — including Black Duck and CodeQL — combined with proprietary AI Agents and Agentic Workflows, proactively identifies and assigns 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.

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.

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