RunSafe Identify
RunSafe Identify generates build-time Software Bill of Materials (SBOMs) for embedded systems, identifies known and unknown vulnerabilities present in software, and quantifies total risk reductions with runtime protections applied.
SBOM Generation
RunSafe Identify generates detailed SBOMs for embedded systems at software build time, eliminating the need for binary analysis. Build-time SBOMs give full visibility into your software components with a full dependency tree and without a package manager.
With a complete SBOM, including C/C++ SBOM generation, organizations can quickly identify potential vulnerabilities in software components, understand common vulnerabilities across product lines, and take action to prioritize mitigation.
RunSafe Identify integrates effortlessly with your CI/CD pipeline for continuous security throughout development.
“From our perspective, adding RunSafe means we have more opportunity to shrink the attack surface and reduce overall risks for our customers since security is now already built into our product.”
Enhanced Security Posture
By generating SBOMs, identifying known and unknown vulnerabilities, and quantifying ways to reduce the attack surface, RunSafe provides a complete security framework for embedded systems.
Regulatory
Compliance
RunSafe simplifies the compliance process by supplying security solutions that support adherence to industry standards and regulatory requirements.
Operational
Efficiency
RunSafe automates the identification and management of security risks, allowing organizations to focus on innovation and development without compromising security.
Vulnerability Identification and Quantification
RunSafe’s solution includes an advanced Risk Reduction Analysis tool that analyzes exposure to CVEs and memory-based zero days within embedded systems. By identifying weaknesses in libraries, components, and packages, RunSafe enables organizations to better understand their security posture and prioritize risks based on severity, exploitability, and impact on the system.
Not only does this proactive approach help prevent potential exploits by addressing vulnerabilities before attackers can target them, it also streamlines the process of software updates and patches, ensuring that embedded systems remain secure throughout their lifecycle.
Risk Reduction Quantification
RunSafe focuses on minimizing the attack surface of embedded systems by reducing the number of potential entry points for attackers. RunSafe Identify quantifies your risk reductions, enabling your organization to prioritize its security efforts and measure the effectiveness of your security strategies.
This process enhances overall security and helps demonstrate compliance and governance to stakeholders. For example, using SBOMs to conduct regular risk assessments and identify vulnerabilities is a proactive approach that aligns with standards like ISO/IEC 27001, which emphasizes continuous risk management.
Latest Resources
Converting C++ to Rust: RunSafe’s Journey to Memory Safety
Memory safety vulnerabilities are one of the biggest challenges we face as developers. For years, we’ve relied on C++ as a trusted workhorse for building complex systems. But managing memory manually in C++ brings constant risk of bugs that jeopardize security and...
What Is Load-time Function Randomization? Beyond ASLR
Modern software is facing major cybersecurity challenges, with memory safety vulnerabilities being one of the biggest risks. Even with billions invested in advanced security tools, attacks targeting memory vulnerabilities are still common. Studies show that up to 90%...
What Is Runtime Exploit Prevention? Securing Embedded Software with RASP
Critical infrastructure today is powered by software. The need to secure millions of lines of code in embedded systems deployed in ICS/OT environments, the automotive industry, defense, and more has never been more urgent. Embedded systems in these industries often...
Try RunSafe Identify Today
Enhance the resilience of your software. Try RunSafe Identify for build-time SBOM generation and vulnerability identification and quantification.