Cyber Capabilities
Our work spans computers, networks, mobile devices, Internet of Things (IoT) devices, embedded systems, ICS/SCADA systems, and other areas. RII's cyber team is made up of experts from across the domain, including vulnerability research, reverse engineering, emulation and debugging, AI/ML, and CNO development. Learn more:
Reverse Engineering (RE)
RE is the first step in developing a cyber capability. We begin by understanding the system, including software, hardware, firmware, protocols, and components—often through research and experimentation as these elements can be obscure and undocumented. As we gather information, we create models of their behavior, iterating to uncover construction and function details to ultimately build a comprehensive understanding of the system.
Vulnerability Research (VR)
VR requires a deep understanding of computer architecture, operating systems, protocols, and systems across devices like computers, networks, mobile, IoT, embedded, and ICS/SCADA systems. Along with technical expertise, it demands a hacker mindset to identify overlooked design flaws that create vulnerabilities. Our proven VR process uses reverse engineering, introspection, emulation, attack surface analysis, and static and dynamic analysis to quickly identify meaningful vulnerabilities.
System Emulation and Debugging
Emulation replicates a system's behavior using software—creating a “digital twin” of a system to run the original software or a proxy. This allows us to scale evaluations and analyze rare hardware while protecting the original device. We also use debugging interfaces to gather critical operational data, guiding further analysis and pinpointing areas of focus.
AI-Enhanced Static- and Dynamic-Analysis Tools
Vulnerability research involves analyzing vast amounts of data, including binaries, source code, configuration files, packet captures, and CVEs. To streamline this effort, we are developing AI/ML tools and automation to accelerate analysis for both researchers and customers. Additionally, we are implementing ETL workflows, creating data-analysis microservices, and guiding customers in AI/ML adoption while adapting to the rapidly evolving field.
Development and Maintenance
of CNO tools
Vulnerabilities provide access potential, but CNO development transforms them into capabilities, adding effects, modules, and refinements to align with mission goals. We support all lifecycle stages—from inception to maintenance. CNO development requires expertise in operating systems, architecture, software, firmware, and hardware analysis, along with reverse engineering, to understand the environment, navigate design challenges, and deliver a robust capability.
Interested in joining the team? To view our open positions and learn more about life at RII, check out our Careers page. Connect with us at careers@researchinnovations.com—we'd love to hear from you!