NVIDIA’s Agentic AI for Container Security with Amanda Saunders and Allan Enemark

Software Engineering Daily

Technology, News, Tech News

4.2 • 653 Ratings

🗓️ 30 January 2025

⏱️ 45 minutes

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Summary

Docker container vulnerability analysis involves identifying and mitigating security risks within container images. This is done to ensure that containerized applications can be securely deployed. Vulnerability analysis can often be time intensive, which has motivated the use of AI and ML to accelerate the process. NVIDIA Blueprints are reference workflows for agentic and generative AI

Transcript

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0:00.0	Docker container vulnerability analysis involves identifying and mitigating security risks within container images.
0:07.0	This is done to ensure that containerized applications can be securely deployed.
0:12.0	Vulnerability analysis can often be time-intensive, which has motivated the use of AI and ML to accelerate the process.
0:19.0	Invidia blueprints are reference workflows for agentic and generative AI use cases.
0:25.1	One of the most prominent blueprints is focused on vulnerability analysis for container security.
0:30.7	Amanda Saunders is the director of Enterprise Generative AI software at Nvidia, and Alan Enemark works on
0:37.1	NVIDIA's Morpheus cybersecurity SDK team.
0:40.8	Amanda and Alan joined the podcast with Gregor Van to talk about blueprints and their application
0:45.5	to vulnerability and container security. Gregor Vand is a security-focused technologist and is the
0:52.2	founder and CTO of MailPass. Previously, Gregor was a
0:56.2	CTO across cybersecurity, cyber insurance, and general software engineering companies. He has been
1:02.3	based in Asia Pacific for almost a decade and can be found via his profile at vand.hk.
1:23.0	Hi, Amanda and Alan. Welcome to Software Engineering Daily.
1:25.5	Great to be here.
1:26.7	Yeah, great to have you both here today. We're super privileged to have you from Nvidia. And we're going to be talking all about blueprints. And obviously we'll get into what they even are. And especially in the context of security today. So as we often kick off, I think we don't often get to hear from people from
1:45.6	Nvidia. So I'd love to hear from both of you, kind of your path to Nvidia and what you're doing
1:50.7	there now. Absolutely. I'll kick off. My name's Amanda Saunders, and I'm the director of enterprise
1:56.6	generative AI software here at Nvidia. So my focus is on NIM microservices, which are packaged
2:03.5	AI models that are optimized to run on our infrastructure and blueprints. I've been at
2:08.1	Nvidia 10 years. So I've had roles from everything when we started with graphics through machine
2:13.8	learning and data science and now obviously into one of the most exciting topics
2:17.8	that we get to see, which is generative AI.
	...

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