- Advanced Computing
- Agile
- AI-Augmented Software Engineering
- Artificial Intelligence Engineering
- Cloud Computing
- Continuous Deployment of Capability
- Cyber-Physical Systems
- Cybersecurity Center Development
- Cybersecurity Engineering
- Cyber Workforce Development
- Edge Computing
- Enterprise Risk and Resilience Management
- Innovative Acquisition
- Insider Threat
- Model-Based Systems Engineering
- Quantum Computing
- Reverse Engineering for Malware Analysis
- Secure Development
- Securing AI
- Security Vulnerabilities
- Situational Awareness
- Software Architecture
- Software Engineering Research and Development
- Technical Debt
Radio Frequency 101: Can You Really Hack a Radio Signal?
Recent reports indicate the DoD is susceptible to radio frequency (RF) attacks. This post discusses common RF tools and ways malicious actors can attack systems.
Read More•By Roxxanne White, Michael Bragg
In Cyber-Physical Systems
Out of Distribution Detection: Knowing When AI Doesn’t Know
How do we know when an AI system is operating outside its intended knowledge boundaries?
Read More•By Eric Heim, Cole Frank
In Artificial Intelligence Engineering
Delivering Resilient Software Capability to the Warfighter at the Speed of Relevance
With the Department of Defense (DoD) emphasizing the development and deployment of capabilities to the warfighter, SEI director Paul Nielsen outlines the ways in which our research and development support …
Read More•By Paul Nielsen
In Software Engineering Research and Development
A 5-Stage Process for Automated Testing and Delivery of Complex Software Systems
Managing and maintaining deployments of complex software present engineers with a multitude of challenges including security vulnerabilities.
Read More•By Caden Milne, Lyndsi A. Hughes
In Continuous Deployment of Capability
Stop Imagining Threats, Start Mitigating Them: A Practical Guide to Threat Modeling
When building a software-intensive system, a key part in creating a secure and robust solution is to develop a cyber threat model.
Read More•By Alex Vesey
In Cybersecurity Engineering
10 Things Organizations Should Know About AI Workforce Development
This post outlines 10 recommendations developed in response to work with our mission partners in the Department of Defense.
Read More•By Jonathan Frederick, Dominic A. Ross, Eric Keylor, Cole Frank, Intae Nam
In Artificial Intelligence Engineering
DataOps: Towards More Reliable Machine Learning Systems
Decisions based on ML models can have significant consequences, and managing the raw material—data—in ML systems is a challenge. This post explains DataOps, an area that focuses on the management …
Read More•By Daniel DeCapria
In Artificial Intelligence Engineering
Evaluating LLMs for Text Summarization: An Introduction
Deploying LLMs without human supervision and evaluation can lead to significant errors. This post outlines the fundamentals of LLM evaluation for text summarization in high-stakes applications.
Read More•By Shannon Gallagher, Swati Rallapalli, Tyler Brooks
In Artificial Intelligence Engineering
The Essential Role of AISIRT in Flaw and Vulnerability Management
The SEI established the first Artificial Intelligence Security Incident Response Team (AISIRT) in 2023. This post discusses the role of AISIRT in coordinating flaws and vulnerabilities in AI systems.
Read More•By Lauren McIlvenny, Vijay S. Sarvepalli
In Artificial Intelligence Engineering
Enhancing Machine Learning Assurance with Portend
This post introduces Portend, a new open source toolset that simulates data drift in machine learning models and identifies the proper metrics to detect drift in production environments.
Read More•By Jeffrey Hansen, Sebastián Echeverría, Lena Pons, Gabriel Moreno, Grace Lewis, Lihan Zhan
In Artificial Intelligence Engineering
Explore Topics
- Advanced Computing
- Agile
- AI-Augmented Software Engineering
- Artificial Intelligence Engineering
- Cloud Computing
- Continuous Deployment of Capability
- Cyber-Physical Systems
- Cybersecurity Center Development
- Cybersecurity Engineering
- Cyber Workforce Development
- Edge Computing
- Enterprise Risk and Resilience Management
- Innovative Acquisition
- Insider Threat
- Model-Based Systems Engineering
- Quantum Computing
- Reverse Engineering for Malware Analysis
- Secure Development
- Securing AI
- Security Vulnerabilities
- Situational Awareness
- Software Architecture
- Software Engineering Research and Development
- Technical Debt
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