AI engineering is an emergent discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts. In contrast to the prevalent ...

This project focuses on creating a foundational model for all container reproducibility efforts (open-source, commercial, U.S. Department of Defense (DoD), etc.). The lack of build reproducibility is ...

Detecting malicious code is a challenge, particularly when it’s implanted in otherwise legitimate software. If undetected, malware injected into legitimate software can result in costly compromises of ...

This seven (7) hour online course provides a thorough understanding of the organizational models for an insider threat program, the necessary components to have an effective program, the key ...

Deploying critical software with certification and frequent updates is a major challenge. Exhaustive testing of safety-critical systems is not possible due to the exponential growth of test cases; ...

CaBSCE introduces a novel method for cost estimation that aligns with modern software practices, where flexibility and speed are paramount.

Hardware inefficiencies pose major limitations to U.S. Department of Defense (DoD) applications; current processors simply cannot keep up with the large and complex machine learning (ML) workloads ...

Assuring evolving large-scale systems (i.e., systems with multiple subsystems) can be a bottleneck in deploying capabilities with the speed and confidence needed for current Department of Defense (DoD ...

SEI Publications Annual Reviews 2024 Research Review Schedule ¦ 2024 Research Review ...

This three (3) hour online course provides a thorough understanding of insider threat terminology, identifies different types of insider threats, teaches how to recognize both technical and behavioral ...

Producing secure programs requires secure designs. However, even the best designs can lead to insecure programs if developers are unaware of the many security pitfalls inherent in Java programming.