Company: P3iD Technologies
Industry: Digital Transformation & Security Solutions
Use Case: Automated Binary Vulnerability Analysis for IoT Security Compliance

Background

P3iD Technologies specializes in secure digital transformation solutions, focusing on identity verification, security, and workflow automation. With the rapid adoption of network-attached document scanning devices and other IoT solutions, ensuring cybersecurity compliance has become a critical priority. In response to evolving regulations such as the U.S. Cyber Trust Mark, P3iD Technologies sought an advanced solution to enhance vulnerability analysis and regulatory preparation.

Challenge

IoT devices, including network-attached document scanners, often contain embedded firmware with potential security vulnerabilities. Identifying and mitigating these vulnerabilities manually is time-consuming and inefficient. P3iD Technologies needed a comprehensive, automated security analysis solution to streamline compliance efforts and proactively secure their devices against emerging cyber threats.

Solution

P3iD Technologies partnered with ObjectSecurity to leverage its BinLens Automated Binary Vulnerability Analysis solution. BinLens analyzes software in binary form for vulnerabilities, detecting security flaws without requiring source code access. What sets BinLens apart from other tools is that it is able to detect unpublished (potential zero-day) vulnerabilities, even in potentially unpublished code. Unlike other approaches like SAST or SBOM, BinLens’s powerful “symbolic execution” based analysis approach produces minimal false positives by providing repeatable proofs of detected vulnerabilities. This enabled P3iD Technologies to efficiently identify vulnerabilities, prioritize risks, and implement necessary security enhancements.

Implementation

  • Integrated BinLens into the P3iD security evaluation framework.
  • Conducted extensive vulnerability analysis on network-attached document scanning devices and other IoT hardware.
  • Assessed compliance readiness for regulations such as the U.S. Cyber Trust Mark.
  • Developed an automated workflow to continuously monitor and improve device security.

Results

  • Increased Efficiency: Automated analysis reduced vulnerability detection time by 95%.
  • Improved Security Posture: Identified and mitigated high-risk, unpublished vulnerabilities before device deployment.
  • Regulatory Readiness: Streamlined compliance preparation for the U.S. Cyber Trust Mark and other regulations.
  • Cost Savings: Reduced the need for extensive manual security testing, optimizing resource allocation.

Conclusion

By adopting ObjectSecurity’s BinLens technology, P3iD Technologies has significantly enhanced the security and compliance of its IoT devices. This proactive approach ensures that network-attached document scanners and other IoT solutions meet stringent cybersecurity regulations while maintaining operational efficiency. The partnership underscores the critical role of automated vulnerability analysis in safeguarding digital transformation initiatives.

For more information, visit https://p3idtech.com and https://objectsecurity.com.