Emerging NIST guidance suggests that the long-standing practice of treating AI as “just software” for cybersecurity purposes is giving way to more novel approaches to managing AI risks.

Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

Veteran Microsoft MVP Allen Conway brings over 20 years of experience designed to help developers navigate key career decisions -- from job changes to leadership vs. technical roles. Learn how to ...

Immigration agents have used Mobile Fortify to scan the faces of countless people in the US—including many citizens.

After three years of development, the team behind Skip, a solution designed to create iOS and Android apps from a single ...

In the United States, the share of new code written with AI assistance has skyrocketed from a mere 5% in 2022 to a staggering ...

Learn the Ralph cycle for smarter AI work with Claude Code, using a bash script, a task plan, and staying within the 30–60% ...

Due to their error-prone hardware, quantum computers have not yet found practical use. One promising solution is quantum error correction: special methods are used to find and correct errors in the ...

implement a comprehensive transformation strategy, streamline its force structure, eliminate wasteful spending, reform the ...

Researchers at Colorado State University have determined how to use artificial intelligence to modify antibodies so they act ...

Abstract: The development of agentic software engineering (ASE) is shifting the software development process, specifically by adopting autonomous agents into the fundamental software development ...

Defense technology companies broadly agree on what secure software looks like. Less consistent, though, is industry-wide understanding of the Defense Department’s mechanisms for demonstrating security ...