Software Engineering Institute (SEI) Podcast Series

I n this SEI Podcast, Bill Nichols and Hasan Yasar, both with the Carnegie Mellon University Software Engineering Institute, discuss DevSecOps metrics with Suzanne Miller. DevSecOps practices, made possible by improvements in underlying technology that automate the development-to-production pipeline, can generate more information about development and operational performance than has ever been rea...

In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in human-machine interaction, and Jonathan Spring, a senior vulnerability researcher, discuss the hidden sources of bias in artificial intelligence (AI) systems and how systems developers can raise their awareness of bias, mitigate consequences, and reduce risks.

The rapid pace of change in software development, in business, and in the world has many organizations struggling to execute daily operations, wrangle big projects, and feel confident that there is a long-term strategy at play. Incorporating agile principles into strategic planning and execution is a highly effective way to drive strategy development, strategy execution, data-driven decision makin...

In this SEI Podcast, Dr. Leigh Metcalf and Dr. Jonathan Spring, both researchers with the Carnegie Mellon University Software Engineering Institute's CERT Division, discuss the application of scientific methods to cybersecurity. As described in their recently published book, Using Science in Cybersecurity , Metcalf and Spring describe a common-sense approach and practical tools for applying scient...

Zero trust adoption is a security initiative that an enterprise must understand, interpret, and implement. Enterprise security initiatives are never simple, and their goal to improve cybersecurity posture requires the alignment of multiple stakeholders, systems, acquisitions, and exponentially changing technology. This alignment is always a complex undertaking and requires cybersecurity strategy a...

In this SEI Podcast, Dr. Eric Heim, a senior machine learning research scientist at Carnegie Mellon University's Software Engineering Institute (SEI), discusses the quantification of uncertainty in machine-learning (ML) systems. ML systems can make wrong predictions and give inaccurate estimates for the uncertainty of their predictions. It can be difficult to predict when their predictions will be...

In this SEI Podcast, Aaron Greenhouse, a senior architecture researcher with Carnegie Mellon University's Software Engineering Institute, talks with principal researcher Suzanne Miller about use of the Bell–LaPadula mathematical security model in concert with the Architecture Analysis and Design Language (AADL) to model and validate confidentiality. Greenhouse and Miller also discuss 11 analysis r...

Nataliya (Natasha) Shevchenko and Mary Popeck, both senior researchers in the CERT Division at Carnegie Mellon University's Software Engineering Institute, discuss the use of model-based systems engineering (MBSE), which, in contrast to document-centric engineering, puts models at the center of system design. MBSE is used to support the requirements, design, analysis, verification, and validation...

Author Daniel H. Pink recently examined the factors that lead to job satisfaction among knowledge workers and summarized them in three components: autonomy, skill mastery, and purpose. In this SEI Podcast, Hasan Yasar, technical director of Continuous Deployment of Capability at Carnegie Mellon University's Software Engineering Institute, relates these components to DevSecOps and summarizes a rece...

In this SEI Podcast, digital transformation lead Dr. Rachel Dzombak and research scientist Carol Smith, both with the SEI's Emerging Technology Center at Carnegie Mellon University, discuss how AI Engineering can support organizations to implement AI systems. The conversation covers the steps that organizations need to take (as well as the hard conversations that need to occur) before they are AI...

The robustness and security of artificial intelligence, and specifically machine learning (ML), is of vital importance. Yet, ML systems are vulnerable to adversarial attacks. These can range from an attacker attempting to make the ML system learn the wrong thing (data poisoning), do the wrong thing (evasion attacks), or reveal the wrong thing (model inversion). Although there are several efforts t...

In this SEI Podcast, Rachel Dzombak and Jay Palat discuss growth in the field of artificial intelligence (AI) and how organizations can hire and train staff to take advantage of the opportunities afforded by AI and machine learning—and the critical need for an AI engineering discipline to grow the AI workforce.

DevSecOps is a set of principles and practices that provide faster delivery of secure software capabilities by improving the collaboration and communication between software development teams, IT operations, and security staff within an organization, as well as with acquirers, suppliers, and other stakeholders in the life of a software system. In this SEI podcast, Hasan Yasar, technical director o...

In this SEI Podcast, Keith Korzec discusses the Mission-Based Prioritization method for prioritizing Agile backlogs. This method overcomes the shortcomings of prioritization based on "weighted shortest job first" and utilizes objective, mission-focused criteria while allowing ongoing re-prioritization to be conducted with minimal overhead.

Digital engineering is an integrated digital approach that uses authoritative sources of systems data and models as a continuum across disciplines to support lifecycle activities from concept through disposal. With digital engineering, models are developed for everything, not just for software, but for all components of a system of systems, hardware and software. The models and associated data are...

Brett Tucker, a technical manager for cyber risk in the SEI CERT Division, discusses the Operationally Critical Threat, Asset, and Vulnerability Evaluation for the Enterprise (OCTAVE FORTE) Model, which helps organizations evaluate security risks and use principles of enterprise risk management to bridge the gap between executives and practitioners. In this SEI Podcast, Tucker outlines OCTAVE FORT...

If organizations take more steps to address security-related activities now, they will be less likely to encounter security incidents in the future. When it comes to application containers, security is achieved through adopting a series of best practices and guidelines. In this SEI Podcast, Tom Scanlon and Richard Laughlin, researchers with the SEI's CERT Division, discuss seven steps that develop...

In this SEI Podcast, Marisa Midler and Tim Shimeall, network defense analysts within the SEI's CERT Division, discuss the growing problem of ransomware including the rise of ransomware as a service threats. Ransom payments from Quarter 3 of 2019 were on average $42,000, and in Quarter 1 of 2020, that average increased $70,000 to $112,000. The volume of attacks also increased by 25 percent in Quart...

Software vulnerability coordination at the CERT Coordination Center (CERT/CC) has traditionally relied on a hub-and-spoke model, with reports submitted to analysts at the CERT/CC analysts who would then work with contact affected vendors. To scale communications and increase the level of collaboration between vulnerability reporters, coordinators, and software vendors, the CERT/CC team has created...

The COVID-19 pandemic has forced significant changes in enterprise work practices, including an increased use of telecommunications technologies required by the new work-from-home policies that most organizations have instituted in response. In this podcast, Phil Groce, a senior network defense analyst in the CERT Division of the Carnegie Mellon University Software Engineering Institute, discusses...

The Cybersecurity Maturity Model Certification (CMMC) 1.0 for Defense Industrial Base (DIB) suppliers defines specific cybersecurity practices across five levels of maturity while also measuring the degree to which those practices are institutionalized within an organization. The CMMC model draws on maturity processes and cybersecurity best practices from multiple standards, including the National...

The Cybersecurity Maturity Model Certification (CMMC) 1.0 for Defense Industrial Base (DIB) suppliers defines specific cybersecurity practices across five levels of maturity while also measuring the degree to which those practices are institutionalized within an organization. The CMMC model draws on maturity processes and cybersecurity best practices from multiple standards, including the National...

The Cybersecurity Maturity Model Certification (CMMC) 1.0 for Defense Industrial Base (DIB) suppliers defines specific cybersecurity practices across five levels of maturity while also measuring the degree to which those practices are institutionalized within an organization. The CMMC model draws on maturity processes and cybersecurity best practices from multiple standards, including the National...

Authority to Operate (ATO) is a process that certifies a system to operate for a certain period of time by evaluating the risk of the system's security controls. ATO is based on the National Institute of Standards and Technology's Risk Management Framework (NIST 800-37). In this podcast, Shane Ficorilli and Hasan Yasar, both with the Carnegie Mellon University Software Engineering Institute, discu...

A pervasive belief in software engineering is that some programmers are much, much better than others (the times-10, or 10x, programmer), and that the skills, abilities, and talents of these programmers exert an outsized influence on that organizations' success or failure. Bill Nichols, a researcher with the Carnegie Mellon University Software Engineering Institute, recently examined the veracity...