Archive: 2023
Assuring Cyber-Physical Systems in an Age of Rising Autonomy
This post discusses research by the SEI and Georgia Tech to address a number of challenges related to the rising volume of sensor data in autonomous cyber-physical systems.
Read More•By Jerome Hugues
In Cyber-Physical Systems
The 13 Key Elements of an Insider Threat Program
COVID-19 changed the nature of the workplace. In this evolving climate, organizations need to be increasingly vigilant against insider incidents. In this post, we present the 13 key elements of …
Read More•By Daniel L. Costa, Randall F. Trzeciak
In Insider Threat
Dealing with Noisy Behavioral Analytics in Detection Engineering
This post discusses a process for tuning and related work you can do to make behavioral analytics more viable in your environment, without sacrificing analytic coverage.
Read More•By Sean Hutchison
In Situational Awareness
The SEI SBOM Framework: Informing Third-Party Software Management in Your Supply Chain
This post presents a framework to promote the use of SBOMs and establish practices and processes that organizations can leverage as they build their programs.
Read More•By Christopher J. Alberts, Michael S. Bandor, Charles M. Wallen, Carol Woody
In Secure Development
The OSATE Slicer: Fast Reachability Query Support for Architectural Models
Our post introduces the OSATE Slicer, a new extension to the Open Source AADL Tool Environment that adapts a concept called slicing to architectural models of embedded, critical systems.
Read More•By Sam Procter
In Software Architecture
Generative AI Q&A: Applications in Software Engineering
This post explores the transformative impacts of generative AI on software engineering as well as its practical implications and adaptability in mission-critical environments.
Read More•By John E. Robert, Douglas Schmidt (Vanderbilt University)
In Artificial Intelligence Engineering
Don’t Wait for ROI on Model-Based Analysis for Embedded Computing Resources
This SEI Blog post examines the design and implementation of embedded computing resources for CPS and the complexities that drive the need for model building.
Read More•By Alfred Schenker, Jerome Hugues
In Cyber-Physical Systems
Explainability in Cybersecurity Data Science
This post provides an overview of explainability in machine learning and includes illustrations of model-to-human and human-to-model explainability.
Read More•By Jeffrey Mellon, Clarence Worrell
In Cybersecurity Engineering
Creating a Large Language Model Application Using Gradio
This post explains how to build a large language model across three primary use cases: basic question-and-answer, question-and-answer over documents, and document summarization.
Read More•By Tyler Brooks
In Artificial Intelligence Engineering
Applying Generative AI to Software Engineering: Navigating Ethical and Educational Landscapes
The post explores the application of generative AI in software engineering with an emphasis on the ethical and educational landscapes.
Read More•By John E. Robert, Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
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