Zero Trust Architecture adoption is a challenge for many organizations. It isn't a specific technology to adopt; instead, it’s a security initiative that an enterprise must understand, interpret, and implement. Enterprise security initiatives are never simple, and their goal to improve the enterprise’s cybersecurity posture requires the alignment of multiple stakeholders, systems, acquisitions, and exponentially changing technology...

In its 2021 report, the National Security Commission on AI (NSCAI) wrote, "The impact of artificial intelligence (AI) on the world will extend far beyond narrow national security applications." How do we move beyond those narrow AI applications to gain strategic advantage? Join Dr. Matt Gaston, Director of the SEI AI Division, Dr. Steve Chien, NSCAI Commissioner and Technical Group Supervisor of the Artificial Intelligence Group and Senior Res...

Self-driving cars are being tested in our cities, bespoke movie and product recommendations populate our apps, and we can count on our phones to route us around highway traffic... Why, then, do most AI deployments fail? What is needed to create, deploy, and maintain AI systems we can trust to meet our mission needs, particularly for defense and national security? The SEI recently launched an AI Division to ensure that our researchers are worki...

The software development lifecycle has changed a lot and continues to evolve. Almost every company now is a software company. Meeting business needs and adapting to the speed of the market for new features requires an agility mindset and continuous-delivery techniques throughout application-development lifecycles. You have software development and deployment questions, such as: Where do I start? How do I establish good continuous integration/d...

IEEE 2675 standard specifies technical principles and practices to build, package, and deploy systems and applications in a reliable and secure way. The standard focuses on establishing effective compliance and IT controls. It presents principles of DevOps including mission first, customer focus, shift-left, continuous everything, and systems thinking. It also describes how stakeholders, including developers and operations staff, can collabora...

According to recent estimates, around 85% of AI projects fail to move from conceptualization to implementation. Why are these failures happening, and how can we prevent them? AI engineering is an emergent discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts. The SEI is leading the national initiative to create an AI engineering discipline to operationalize hu...

Privacy protection isn't just a compliance activity. but It’s also a key area of organizational risk that requires enterprise-wide support and participation; careful planning; and forward-leaning, data-driven controls. In this webcast, we highlight best practices for privacy program planning and implementation. We present strategies for leveraging existing capabilities within your organization to further advance privacy program building,...

There is some confusion about how the paradigms of DevOps and Digital Engineering fit together. In the case of software-intensive systems, we believe DevOps practices are an enabler for Digital Engineering, in many forms. During this webcast, we will introduce the relatively new concept of Digital Engineering and how we believe DevOps actually complements/enables many of the goals of Digital Engineering. What attendees will learn: What Digital...

Our theme of Using Data to Defend is more critical than ever, given the security challenges of moving customers and vendors online and supporting a remote workforce. The online conference will be held on January 12-15, 2021. FloCon 2021 focuses on using “big data” to solve difficult security problems. Its practical, practitioner-oriented sessions feature online training, presentations, and keynote speakers from the security and dat...

This webcast illustrated where machine learning applications can be attacked, the means for carrying out the attack and some mitigations that can be employed. The elements in building and deploying a machine learning application are reviewed, considering both data and processes. The impact of attacks on each element is considered in turn. Special attention is given to transfer learning, a popular way to construct quickly a machine learning app...