With a focus on speeding the delivery of software capability to warfighters, the SEI has conducted research on Agile software approaches in the Department of Defense and other government settings since 2009.
To advance the DoD’s vision of creating viable, trusted, and extensible AI systems, the SEI leads the creation of a professional AI Engineering discipline to develop AI systems that are scalable, robust and secure, and human centered.
The SEI studies cloud computing to help organizations develop and operate secure and cost-effective systems and deliver scalable capability to the network edge.
Continuous deployment of capability enables the development, security, and delivery of software systems to streamline implementation of new capabilities and to provide continuous integration and continuous delivery (CI/CD) of resilient software deployment.
The SEI helps security operations and cybersecurity centers develop, operationalize, and improve their incident management capabilities to prevent and mitigate cybersecurity threats.
The SEI’s research in cybersecurity engineering (CSE) builds knowledge, methods, patterns, and practices to help organizations acquire, develop, validate, and sustain software and systems so they can meet today’s national security cybersecurity challenges.
The SEI has 20 years of experience delivering cutting-edge solutions through the development of innovative technologies and approaches that result in elite learning experiences and equip cybersecurity professionals with the skills to face emerging challenges.
In traditional computing, processing is mainly performed on local servers and in the cloud. Edge computing pushes applications, data, and computing power to the edge of the Internet - to mobile devices, sensors, and end users.
The SEI conducts cybersecurity research and creates models, tools, and methods that empower organizations to improve enterprise risk management and resilience and build confidence in their cybersecurity posture.
The SEI conducts research, modeling, analysis, and outreach to develop data-driven, socio-technical solutions that help organizations reduce the impact and likelihood of insider threats.
By adopting Model-Based Systems Engineering (MBSE), the Department of Defense (DoD) and its contractors are changing the way they design and implement software-intensive systems. SEI contributes to MBSE deployment through steady advance of the theory and practice of modeling and model-supported assurance. We also help to develop governance policies to meet the challenges of acquisition programs.
As our nation increasingly develops, integrates, and deploys AI for use in defense and national security, the SEI helps ensure that AI systems are hardened to mitigate threats.
SEI researchers reduce cybersecurity risk by conducting and promoting coordinated vulnerability disclosure, researching and publishing vulnerability discovery tools and techniques, and improving vulnerability data and information systems.
Situational awareness establishes the methods and tools for organizations to successfully assess and monitor their assets and activities to protect against threats and attacks.
The software architecture of a computing system is a depiction of the system that aids in understanding how the system will achieve key system qualities.