Personal Identifiable Information (PII) includes sensitive data such as social security and passport numbers, as well as biometric data like faces and fingerprints. When training or refining Large Language Models (LLMs), there’s a risk of accidentally including PII, leading to significant real-world consequences like identity theft, privacy violations, and financial losses.

Welcome to “Cloud Unfiltered,” where we tackle everything about platform engineering and the cloud-first world! Today’s episode features an insightful chat with Abby Bangser, a Principal Engineer from Syntasso. Dive into the complexities of modern software development and the strategies that aid in streamlining operations in the tech-dominated business environment.

Any vulnerability in the software supply chain has serious potential to wreak havoc around the globe. What can security teams do? Cisco Research brought together leading researchers to explore supply chain challenges and discuss opportunities for solving those challenges now and in the future.

Welcome to another insightful episode of Cloud Unfiltered! In this episode, host Michael Chenetz is joined by Jerry Gebel, VP of Product and Standards at Strata Identity, to delve into the crucial topics of identity orchestration and authorization. Outshift is Cisco’s incubation engine, innovating what's next and new for Cisco products and sharing our expertise on emerging technologies. Discover the latest on cloud native applications, cloud application security, generative AI, quantum networking and security, future-forward tech research, our latest open source projects and more.

Shannon Williams and Darren Shepherd discuss their new open source solution called, GPTScript and how the exciting world of AI is evolving. Outshift is Cisco’s incubation engine, innovating what's next and new for Cisco products and sharing our expertise on emerging technologies. Discover the latest on cloud native applications, cloud application security, generative AI, quantum networking and security, future-forward tech research, our latest open source projects and more.

As AI models become more accurate, they are becoming much larger, requiring a significant amount of computing power to run. How can we make the future of AI more scalable and sustainable? Cisco Research hosted a virtual summit on efficient AI, bringing together researchers to explore efficient AI challenges and discuss opportunities for solving those challenges now and into the future. The Cisco Research team has been working on efficient AI initiatives for several years, contributing research papers and incorporating their work into an open-source project called ModelSmith.

This demo highlights how Motific simplifies the journey of requesting a GenAI application, going through the approval process, connecting it with the right information sources, and provisioning an application to meet business requirements. With Motific, you can gain flexibility without complexity for easy deployments of ready-to-use AI assistants and APIs.