SECURITY & VULNERABILITY MANAGEMENT

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Our Open Source Software (OSS) Vulnerability Management offering is purpose-built to identify source code, and third-party dependencies risks, within the critical OSS components driving innovation in Physical AI, Autonomous Systems, and Robotics (PAI-ASR). While PAI-ASR technologies rely heavily on OSS, they face growing challenges — including security vulnerabilities, supply chain exposures, and insider threats. Leveraging proprietary frameworks alongside continuous monitoring, our solution analyzes OSS projects, source code, and third-party dependencies, to detect high-risk vulnerabilities, anomalous code changes, and suspicious contributor behavior. This includes advanced capabilities to flag third-party dependencies originating from high-risk or adversarial nations, empowering organizations to proactively defend against nation-state software OSS supply chain attacks. Through continuous analysis and targeted threat intelligence, we help reduce OSS-related risks and enhance the overall security posture of PAI-ASR platforms.  

Leveraging Azure DevOps in combination with our proprietary tools, we proactively identify and assign risk ratings to vulnerabilities in both source code and third-party dependencies supporting Physical AI, Autonomous Systems, and Robotics (PAI-ASR) platforms. By integrating advanced scanning capabilities into our CI/CD pipelines, we enable continuous, comprehensive analysis to detect known vulnerabilities and exploitable patterns. This approach empowers our engineering and security teams to uncover critical issues early in the development lifecycle, accelerating risk identification and enabling us to provide expert guidance that helps customers strengthen the overall security posture of their PAI-ASR systems.  

Our proprietary security analysis frameworks for source code, and third-party dependencies, are tailored to the complex software ecosystems within PAI-ASR platforms. We design customized workflows and automated pipelines to rigorously inspect and monitor source code, and third-party dependencies, across a wide range of PAI-ASR programming languages — including C, C++, Python, Swift, Ruby, and others. This comprehensive approach enables the early detection of vulnerabilities, insecure coding practices, and high-risk third-party components.  

Our proprietary frameworks and advanced tools offer comprehensive visibility into risks linked to Open-Source Software (OSS) third-party dependencies across PAI-ASR platforms, addressing both code-level vulnerabilities, and geopolitical exposure. Seamlessly integrated into development pipelines, our automated scanning detects outdated libraries, insecure packages, and components originating from high-risk or adversarial nations. Beyond identification, our service analyzes and prioritizes these risks, providing tailored recommendations to help customers reduce exposure, including potential nation-state supply chain threats. By blending deep technical expertise with geopolitical awareness, we empower organizations to strengthen the integrity, security, and resilience of their software supply chains within their PAI-ASR environment. 

 We employ a strategic multi-cloud approach, seamlessly integrating our proprietary frameworks and advanced tools with leading cloud platforms such as AWS to address the complex security, and vulnerability management challenges, inherent in PAI-ASR environments. This hybrid solution enhances our capabilities in automated code review, vulnerability detection, and performance optimization across diverse PAI-ASR systems. By combining the robust infrastructure of industry-leading cloud services with our specialized expertise, we deliver deeper insights, accelerated issue resolution, and continuous improvement throughout the entire OSS security and vulnerability management lifecycle.  

AWS CodeGuru Security and Reviewer is an AI-powered cloud service that automates code reviews by identifying security vulnerabilities, performance issues, and violations of coding best practices within your codebase. Leveraging advanced machine learning models trained on millions of code samples, CodeGuru delivers precise, actionable recommendations to enhance code quality and strengthen security early in the development lifecycle. Its seamless integration with popular development tools and CI/CD pipelines enables teams to detect critical issues faster, reduce technical debt, and accelerate the delivery of secure, high-quality software.  

Our AWS CodeGuru Findings PAI-ASR Dashboard provides a centralized, intuitive interface that unifies insights from automated code reviews and security analyses. Seamlessly integrated with our proprietary frameworks and tools, it delivers real-time visibility into critical issues — including vulnerabilities, code defects, and performance bottlenecks across your OSS codebases. By categorizing findings by severity, type, and origin, the dashboard enables our security and vulnerability management teams to efficiently prioritize and drive targeted risk reduction efforts.