SEI Webcasts
Many organizations are discovering, as they accelerate adoption of artificial intelligence (AI), that business and operational success with AI depends on far more than deploying AI models or experimenting with generative AI tools. Successful AI adoption occurs at the intersection of software engineering practices, the realities of system and enterprise architecture modernization, governance, cybersecurity, workforce readiness, workflow reengineering, operational integration, and enterprise strategy. Organizations must manage technological challenges that have intensified with AI adoption,...
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AI is rapidly changing how software is produced but not the need to engineer software to meet business and mission goals. AI is enabling developers to move from idea to implementation at incredible speeds. However, this fast pace has implications that teams must manage. Product quality does not come for free, and there is some tendency for AI to accelerate the accumulation of technical debt. In addition, what works well on small code bases doesn't always work as well on large code bases. So, what's a good software engineer to do? Software engineering principles and practices are essential in...
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Metrics are about more than just compliance. They ground you in fact, enable informed decision making, and help your team understand performance while providing insight into program health. By understanding the why, what, and how behind metrics, your team can move from “just collecting data” to using metrics that enable better decision making, improve program outcomes, and deliver mission value. Get ready to hear all about our new Tactical Guide called Pack Light, Measure Right and Supplement called Decoding SWP Metrics. What Will Attendees Learn? • How to select a minimal but sufficient...
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Artificial intelligence (AI) systems offer tremendous potential, but compared to traditional software, they introduce novel safety and security risks. System theory provides a powerful lens for understanding these risks and developing effective mitigations. In this webcast, we’ll introduce System Theoretic Process Analysis (STPA), a system-theory-based approach to safety analysis. We’ll explain how STPA helps organizations build stronger assurances about the safety and security of complex systems, including those that incorporate AI. What Will Attendees Learn? • How complex systems fail...
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Building an effective security operations capability such as a security operations center (SOC) has always been a challenging endeavor. Balancing the need to successfully integrate the people, processes, and technologies required to support your mission requires a deep understanding of your network and your threat landscape. New AI tools and technologies present both challenges and opportunities. These tools can complicate your operational environment but might be used by malicious actors to enhance their attacks. But AI can also be leveraged to build out and enable your SOC by covering gaps...
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Are you confused about what should be in your Software Acquisition Pathway program’s Capability Needs Statement (CNS)? You are not alone! One of the most frequent requests we receive is for a sample CNS. If only it was that easy! Never fear; our recently released Tactical Guide called will provide you with the practical insight you need to develop a CNS that will be effective for your program. We’ll also talk about the Cracking the CNS Code’s complementary supplement called What Will Attendees Learn? ...
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Software management is too frequently ignored or addressed piecemeal in systems. Cyber threat actors take advantage of gaps and errors in their attacks, which they can accomplish throughout the lifecycle. Exploiting these gaps and errors allows them to compromise processes, practices, and procedures that touch a system’s design, component development, and supply chain to bypass controls and leverage available vulnerabilities. Key software assurance activities must be embedded within the acquisition lifecycle to effectively combat these threat actors. What Will Attendees Learn? How software...
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AI is transforming both the threat landscape and our defensive capabilities. What does cyber mission readiness mean in this new environment? A researcher from the CERT Division of Carnegie Mellon University's (CMU’s) Software Engineering Institute (SEI) describes the current challenges and emerging solutions that individuals and teams can use to build and sustain their cyber and AI-readiness. The webcast showcases Crucible, an open source framework that integrates learning management, hands-on labs, team exercises, competitions, threat sharing, and AI models into a unified cyber readiness...
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Is your program really ready to adopt the SWP? Next in the Software Acquisition Go Bag series, we’ll walk you through our new Tactical Guide called SWP: Ready, Set, Go! This guide provides proven techniques to assess the project’s readiness to adopt the SWP; identify any shortfalls; and obtain the resources, information, and support needed for success. What Will Attendees Learn? • How to know if your acquisition program is really ready to adopt the SWP • What “Instill an Agile Culture” actually means for your program • How programs enter or transition to the SWP • A dispelled...
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Many organizations practicing DevSecOps have collapsed under the weight of their own tooling. These organizations tried to solve delivery problems by stacking Kubernetes, Helm, GitOps controllers, scanners, and templating systems until no one can explain their own deployment path. This webcast cuts through that complexity and shows how right-sizing DevSecOps—reproducible environments, deterministic builds, type-safe configuration, and small iterative releases—restores velocity and reliability. We focus on what high-stakes teams actually need, not what vendors or compliance frameworks...
info_outlineDevSecOps generates a lot of data valuable for better decision making. However, decision makers may not see all they need to in order to make best use of the data for continuous improvement. The SEI open source Polar tool unlocks the data, giving DevSecOps teams greater capability to automate, which in turn means they can innovate rapidly – without lessening quality or reducing security.
What Attendees Will Learn:
- Issues from complex DevSecOps pipelines
- What observability adds for DevSecOps efforts
- The way in which a new open-source tool, Polar, helps