Artificial intelligence (AI) is a transformational technology, but it has limitations in challenging operational settings. Researchers in the AI Division of the Carnegie Mellon University Software Engineering Institute (SEI) work to deliver reliable and secure AI capabilities to warfighters in mission-critical environments. In our latest podcast, Matt Gaston, director of the SEI’s AI Division, sits down with Matt Butkovic, technical director of the SEI CERT Division’s Cyber Risk and Resilience program, to discuss the SEI's ongoing and future work in AI, including test and evaluation, the importance of gaining hands-on experience with AI systems, and why government needs to continue partnering with industry to spur innovation in national defense.

A recent Google survey found that many developers felt comfortable using the Rust programming language in two months or less. Yet barriers to Rust adoption remain, particularly in safety-critical systems, where features such as memory and processing power are in short supply and compliance with regulations is mandatory. In our latest podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Vaughn Coates, an engineer in the SEI’s Software Solutions Division, sits down with Joe Yankel, initiative Lead of the DevSecOps Innovations team at the SEI, to discuss the barriers and benefits of Rust adoption.

In response to Executive Order (EO) 14028, Improving the Nation’s Cybersecurity, the National Institute of Standards and Technology (NIST) recommended 11 practices for software verification. Threat modeling is at the top of the list. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), Natasha Shevchenko and Alex Vesey, both engineers with the SEI’s CERT Division, sit down with Timothy Chick, technical manager of CERT’s Applied Systems Group, to discuss how threat modeling can be used to protect software-intensive systems from attack. Specifically, they explore how threat models can guide system requirements, system design, and operational choices to identify and mitigate threats.