System Verification and Validation
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Comments on NIST IR 8269: A Taxonomy and Terminology of Adversarial Machine Learning
The U.S. National Institute of Standards and Technology (NIST) recently held a public comment period on their draft report on proposed taxonomy and terminology of Adversarial Machine Learning (AML)....
Read More•By Jonathan Spring
In Security Vulnerabilities
Improving Insider Threat Detection Methods Through Software Engineering Principles
Tuning detective controls is a key component of implementing and operating an insider threat program, and one we have seen many organizations struggle with....
Read More•By Daniel L. Costa
In Insider Threat
Enabling Shift-Left Testing from Small Teams to Large Systems
Shift left is a familiar exhortation to teams and organizations engaged in Agile and Lean software development. It most commonly refers to incorporating test practices....
Read More•By Nanette Brown
In Agile
The Modern Software Factory and Independent V&V for Machine Learning: Two Key Recommendations for Improving Software in Defense Systems
This post highlights recommendations from a Defense Science Board report on how to improve software acquisition in defense.
Read More•By Paul Nielsen
In Artificial Intelligence Engineering
Rapid Software Composition by Assessing Untrusted Components
Today, organizations build applications on top of existing platforms, frameworks, components, and tools; no one constructs software from scratch....
Read More•By Rick Kazman
In Software Architecture
Certifiable Distributed Runtime Assurance in Cyber-Physical Systems
Runtime assurance (RA) has become a promising technique for ensuring the safe behavior of autonomous systems (such as drones or self-driving vehicles) whose behavior cannot be fully determined at design …
Read More•By Dionisio de Niz
Infrastructure as Code: Moving Beyond DevOps and Agile
Citing the need to provide a technical advantage to the warfighter, the Department of Defense (DoD) has recently made the adoption of cloud computing technologies a priority....
Read More•By John Klein
In Agile
Why Is Measurement So Hard?
Developing security metrics within an organization is an ongoing challenge. Organizations want to know "Am I secure enough?" While this is the common question, it lacks context....
Read More•By Katie C. Stewart
Bitcoin, Blockchain, Machine Learning, and Ransomware: The Top 10 Posts of 2017
Each year since the blog's inception, we present the 10 most-visited posts of the year in descending order ending with the most popular post. In this blog post, we present …
Read More•By Douglas Schmidt (William & Mary)
Cyber Warfare, Technical Debt, Network Border Protection, and Insider Threat: The Latest Work from the SEI
This SEI Blog post highlights recent SEI publications in cyber warfare, emerging technologies, network protection, and more.
Read More•By Douglas Schmidt (William & Mary)
In Artificial Intelligence Engineering