- Agile
- Artificial Intelligence Engineering
- CERT/CC Vulnerabilities
- Cloud Computing
- Cyber-Physical Systems
- Cybersecurity Engineering
- Cyber Workforce Development
- DevSecOps
- Edge Computing
- Enterprise Risk and Resilience Management
- Insider Threat
- Model-Based Systems Engineering
- Quantum Computing
- Reverse Engineering for Malware Analysis
- Secure Development
- Situational Awareness
- Software Architecture
- Software Engineering Research and Development
- Technical Debt
Introduction to MLOps: Bridging Machine Learning and Operations
Machine learning operations (MLOps) has emerged as a critical discipline in artificial intelligence and data science. This post introduces MLOps and its applications.
Read More• By Daniel DeCapria
In Artificial Intelligence Engineering
A Framework for Detection in an Era of Rising Deepfakes
This blog post details the evolving deepfake landscape and introduces a framework for detection.
Read More• By Matthew Walsh
In Cybersecurity Engineering
An Introduction to Model-Based Systems Engineering (MBSE)
Revisit our most popular post of the last four years, which introduces model-based systems engineering, a methodology to support the requirements, design, analysis, verification, and validation associated with the development …
Read More• By Nataliya Shevchenko
In Model-Based Systems Engineering
Challenges to Assuring Large-Scale Systems
National defense efforts have shifted from defeating terrorism to accelerating innovation, with a priority of delivering capability at speed and at scale.
Read More• By Gabriel Moreno , Anton Hristozov , John E. Robert , Mark H. Klein
In Software Engineering Research and Development
Evaluating Static Analysis Alerts with LLMs
LLMs show promising initial results in adjudicating static analysis alerts, offering possibilities for better vulnerability detection. This post discusses initial experiments using GPT-4 to evaluate static analysis alerts.
Read More• By William Klieber , Lori Flynn
In Cybersecurity Engineering
Measuring AI Accuracy with the AI Robustness (AIR) Tool
Understanding your artificial intelligence (AI) system’s predictions can be challenging. In this post, SEI researchers discuss a new tool to help improve AI classifier performance.
Read More• By Michael D. Konrad , Nicholas Testa , Linda Parker Gates , Crisanne Nolan , David James Shepard , Julie B. Cohen , Andrew O. Mellinger , Suzanne Miller , Melissa Ludwick
In Artificial Intelligence Engineering
A Roadmap for Incorporating Positive Deterrence in Insider Risk Management
Positive deterrence reduces insider risk through workforce practices that promote the mutual interests of employees and their organization.
Read More• By Andrew P. Moore
In Insider Threat
The Latest Work from the SEI: Counter AI, Coordinated Vulnerability Disclosure, and Artificial Intelligence Engineering
This post highlights the latest work from the SEI in artificial intelligence engineering, coordinated vulnerability disclosure for machine learning, and counter AI.
Read More• By Bill Scherlis
In Software Engineering Research and Development
Generative AI and Software Engineering Education
Educators have had to adapt to rapid developments in generative AI to provide a realistic perspective to their students. In this post, experts discuss generative AI and software engineering education.
Read More• By Ipek Ozkaya , Douglas Schmidt (Vanderbilt University)
In Artificial Intelligence Engineering
Acquisition Archetypes Seen in the Wild, DevSecOps Edition: Cross-Program Dependencies
Shared capabilities can help manage costs and complexities but can also result in cross-program dependencies. This post examines this phenomenon in a DevSecOps context.
Read More• By William E. Novak
In DevSecOps
Explore Topics
- Agile
- Artificial Intelligence Engineering
- CERT/CC Vulnerabilities
- Cloud Computing
- Cyber-Physical Systems
- Cybersecurity Engineering
- Cyber Workforce Development
- DevSecOps
- Edge Computing
- Enterprise Risk and Resilience Management
- Insider Threat
- Model-Based Systems Engineering
- Quantum Computing
- Reverse Engineering for Malware Analysis
- Secure Development
- Situational Awareness
- Software Architecture
- Software Engineering Research and Development
- Technical Debt
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