- Agile
- Artificial Intelligence Engineering
- CERT/CC Vulnerabilities
- Cloud Computing
- CSIRT Development
- Cyber Workforce Development
- Cyber-Physical Systems
- Cybersecurity Engineering
- DevSecOps
- Edge Computing
- Enterprise Risk and Resilience Management
- Insider Threat
- Quantum Computing
- Reverse Engineering for Malware Analysis
- Secure Development
- Situational Awareness
- Software Architecture
- Software Engineering Research and Development
- Technical Debt
The Top 10 Skills CISOs need in 2024
This post outlines the top 10 skills that CISOs need in 2024 and beyond.
• By Greg Touhill
In Enterprise Risk and Resilience Management
10 Benefits and 10 Challenges of Applying Large Language Models to DoD Software Acquisition
This post presents 10 benefits and 10 challenges of applying LLMs to the software acquisition process and suggests specific use cases where generative AI can provide value.
• By John E. Robert, Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
The Latest Work from the SEI
This SEI Blog post summarizes some recent publications from the SEI in the areas of supply chain risk management, technical debt, large language models, quantum computing, acquisition, and trustworthiness in …
• By Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
The Top 10 Blog Posts of 2023
Every January on the SEI Blog, we present the 10 most-visited posts of the previous year. This year’s top 10 highlights our work in zero trust, large language models, DevSecOps, …
• By Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
Acquisition Archetypes Seen in the Wild, DevSecOps Edition: Clinging to the Old Ways
This SEI blog post draws on SEI experiences conducting independent technical assessments to examine problems common to disparate acquisition programs. It also provides recommendations for recovering from these problems and …
• By William E. Novak
In DevSecOps
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.
• By John E. Robert, Douglas Schmidt (Vanderbilt University)
In Software Engineering Research and Development
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.
• By Tyler Brooks
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, the complexities of which drive the need for model building.
• 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.
• By Jeffrey Mellon, Clarence Worrell
In Cybersecurity Engineering
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.
• By John E. Robert, Douglas Schmidt (Vanderbilt University)
In Artificial Intelligence Engineering
Explore Topics
- Agile
- Artificial Intelligence Engineering
- CERT/CC Vulnerabilities
- Cloud Computing
- CSIRT Development
- Cyber Workforce Development
- Cyber-Physical Systems
- Cybersecurity Engineering
- DevSecOps
- Edge Computing
- Enterprise Risk and Resilience Management
- Insider Threat
- Quantum Computing
- Reverse Engineering for Malware Analysis
- Secure Development
- Situational Awareness
- Software Architecture
- Software Engineering Research and Development
- Technical Debt
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