In an era where cyber threats are becoming increasingly sophisticated, the challenge of safeguarding sensitive information and systems has never been more pressing. As artificial intelligence and complex systems develop, they introduce new security hurdles that researchers are eager to address.
Carnegie Mellon University’s Software Engineering Institute (SEI) has crafted a strategic framework designed to pinpoint the most critical cybersecurity issues. Titled “Advancing Cybersecurity: A Framework of Cyber Research Priorities”, this framework highlights seven persistent areas of cybersecurity research and identifies 37 specific opportunities that promise enhancements in cyber operations and bolster national security.
Amidst the dynamic and complex cybersecurity landscape, the SEI researchers emphasize the importance of focusing on areas of research that promise substantial operational advancements, even as threats and technologies evolve. “There is greater urgency than ever before to take considered action to improve the nation’s cybersecurity posture — and in a way that accelerates the delivery of capability to the mission,” stated Bill Scherlis, the framework’s editor and a special adviser to the director of SEI.
Guided by Scherlis and Greg Touhill, director of SEI’s CERT Division, more than 25 SEI experts have delineated seven key topics poised to significantly influence cyber operations and national security capabilities.
Seven Critical Cybersecurity Domains
The framework pinpoints seven domains where R&D could most effectively enhance cyber operations and capabilities:
- Analytic and Operational Tradecraft for Cybersecurity
- Securing AI-Based Systems and Workflows
- Cyber-Physical System Security
- Cybersecurity for Complex Integrated Systems
- Insider Threat and Human–Systems Interaction
- Secure Engineering and Mission Confidence for Critical Software-Reliant Systems
- Modeling and Simulation in Support of Security
In these areas, the framework suggests priority research opportunities and proposes both immediate and long-term strategies. For instance, the integration of AI systems presents unique cybersecurity challenges. The framework advocates for research into designing larger systems that can securely incorporate potentially vulnerable AI models, improved testing methodologies, and verification of safeguard effectiveness.
Organizations are encouraged to align their cybersecurity research with three elements of cyber risk: threat characteristics, potential mission impacts, and system vulnerabilities.
Mission-Centric Research Initiatives
Broader cybersecurity research, including efforts by the National Academies of Sciences, Engineering, and Medicine, informed the framework, which prioritizes national security operations.
The SEI applies its cutting-edge research across all seven outlined domains to tackle the most urgent mission challenges.
“We benefit from an extraordinary range and depth of expertise and experience in our core areas of cybersecurity, software, and AI,” remarked Scherlis. The researchers envision the framework as a tool for guiding research organizations, government bodies, and tech developers in addressing both current and future cybersecurity needs.
“Our collective security depends on our ability to out-innovate and act with greater velocity and precision than those who seek to exploit our vulnerabilities,” said Touhill. “We call on leaders in the research, operations, and product development communities to use this framework to set vision-driven cyber research agendas. In today’s rapidly evolving digital environment, we must work together to engineer the future of national security in the digital age.”
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