Open-source and third-party software components are the foundation of many modern IoT devices. While these components accelerate development and drive innovation, they also introduce hidden risks that can compromise security and compliance.
As regulatory pressures mount with frameworks like the EU Cyber Resilience Act (CRA) and the U.S. Cyber Trust Mark program, IoT manufacturers must proactively assess and secure their software supply chains to retain access to key markets.
Traditional security measures often fail to address the unique risks associated with software supply chains. The challenge isn't just about securing your code—it's about understanding and mitigating risks from every component in your software ecosystem. Without comprehensive visibility into these components, organizations may unknowingly deploy software harboring critical vulnerabilities.
Modern software supply chains face sophisticated threats that extend far beyond traditional attack vectors.
Legacy components in IoT devices further compound these risks by creating long-term security exposures.
To evaluate software supply chain security postures effectively, organizations need a comprehensive measurement framework that goes beyond traditional application security metrics. This framework should encompass three critical dimensions: component intelligence, risk assessment, and operational efficiency.
Component intelligence begins with deep binary and firmware analysis. This process involves examining device components at the binary level to detect known vulnerable components and identify undisclosed third-party code. Organizations should maintain a complete inventory of components, including documentation of provenance, authenticity verification, and version consistency across product lines.
Security teams should also perform supplier security assessments evaluating supplier security practices throughout the product lifecycle, and as part of that assessment, maintain transparency scores that reflect the completeness of component documentation. This intelligence gathering forms the foundation for effective risk management and enables organizations to make informed decisions about component selection and replacement.
Understanding risk requires more than just identifying vulnerabilities—it demands context. When evaluating vulnerabilities, organizations should consider the following:
Product security metrics should track the time between vulnerability discovery and patch availability, patch adoption rates across deployed devices, and the number of zero-day vulnerabilities discovered. This data helps organizations understand their security debt and prioritize remediation efforts.
Security processes must be efficient and scalable to be effective. Organizations should have proactive threat intelligence, monitoring, and remediation programs tracking their mean time to detect (MTTD) supply chain threats and mean time to respond (MTTR) to identified issues. The ratio of automated to manual security checks provides insight into process efficiency, while integration of security activities and tooling throughout the product lifecycle helps identify gaps in the security framework.
A comprehensive security framework requires controls at every phase of the product lifecycle:
During development, organizations should implement secure infrastructure with code signing using hardware security modules, multi-factor authentication for repositories, and automated secret detection. Build environments should be isolated and ephemeral, with reproducible processes and comprehensive logging. Dependency management should include private artifact repositories with security scanning and automated update verification.
Production security focuses on firmware architecture, including firmware signing, secure boot mechanisms, runtime security measures, and secure updates and patching. Organizations should implement component verification processes, secure provisioning including secure defaults, end-to-end data encryption and secure storage mechanism as well as comprehensive manufacturing controls to maintain supply chain integrity.
Deployment controls should address initial device provisioning utilizing secure defaults, operational security, and incident response capabilities. This includes secure boot sequences, security telemetry collection, and automated incident triage procedures.
As software supply chains grow increasingly complex, organizations face an overwhelming challenge in managing security at scale. Manual security processes—however thorough—simply cannot keep pace with the volume of components, frequency of updates, and sophistication of threats in modern software development.
Consider that a typical enterprise application may contain thousands of dependencies, each with its own update cycle and potential vulnerabilities. Attempting to track and verify these manually would require an impossible amount of human effort and introduce unavoidable delays in security response times.
Automation is not just a convenience, it’s a necessity for maintaining effective security practices. By automating routine security tasks, organizations can shift their security teams' focus from repetitive checks to strategic security improvements and incident response. This transformation enables security to keep pace with development without becoming a bottleneck.
Finite State's platform offers automated security functions that span the entire software supply chain, including:
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Implementing comprehensive supply chain security can seem daunting, especially for organizations just beginning their security journey. Success requires a balanced approach that delivers immediate security improvements while building toward long-term goals.
The following roadmap provides a structured approach that organizations can use to progressively enhance their security posture without overwhelming their teams or disrupting existing development processes.
Foundation (0-3 months) The initial phase focuses on establishing visibility and basic security controls. During this period, organizations should:
Enhancement (3-6 months) Building on the foundation, organizations can introduce more sophisticated security measures:
Optimization (6-12 months) This phase focuses on maturing and automating security processes:
Need support streamlining your security processes? Learn more about Finite State’s security consulting services here
Securing the software supply chain requires a comprehensive approach that combines technical controls, process improvements, and continuous monitoring. Organizations must move beyond basic security measures to implement solutions that address the complex nature of modern software supply chains.
Finite State provides the visibility, analysis, and automation needed to secure your software supply chain effectively. Our platform helps product security teams and IoT manufacturers identify and mitigate risks before they become security incidents.
Ready to evaluate your software supply chain security? Schedule a demo to see Finite State in action.