SHOW: 977
Rohan Sathe (@rssathe, CEO @NightfallAI) discusses the rise of Shadow AI, where employees unknowingly leak sensitive corporate data through generative AI tools like ChatGPT.
SHOW TRANSCRIPT: The Cloudcast #977 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
SPONSORS:
- [Mailtrap] Try Mailtrap for free
- [Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.
- [TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast
SHOW NOTES:
Topic 1 - Welcome to the show, Rohan. Give everyone a brief introduction, including your time at Uber Eats.
Topic 2 - How do you define Shadow AI? We hear Shadow AI compared to Shadow IT back at the start of cloud. However, this looks different because everyone's learning curve is much smaller. For Shadow IT to happen, you had to know IT (servers, storage, etc.). Is this the correct way to think about the problem?
Topic 3 - How big is the Shadow AI problem today?
Topic 4 - Normally, data leaks would be discovered by traditional DLP (data loss prevention) tools. In my experience, those tools have been cumbersome and clunky, and you often face the classic trade-off between user productivity and security, as well as the need to lock down access. How has this mindset evolved in the era of AI?
Topic 5 - What happens when AI-powered attacks meet AI-powered defense?
Topic 6 - Let's talk about the technical architecture. How does Nightfall actually work across SaaS apps, endpoints, browsers, and AI tools?
FEEDBACK?
