S2E30: "LLMs, Knowledge Graphs, & GenAI Architectural Considerations" with Shashank Tiwari (Uno)

The Shifting Privacy Left Podcast

This week's guest is Shashank Tiwari, a seasoned engineer and product leader who started with algorithmic systems of Wall Street before becoming Co-founder & CEO of Uno.ai, a pathbreaking autonomous security company. He started with algorithmic systems on Wall Street and then transitioned to building Silicon Valley startups, including previous stints at Nutanix, Elementum, Medallia, & StackRox. In this conversation, we discuss ML/AI, large language models (LLMs), temporal knowledge graphs, causal discovery inference models, and the Generative AI design & architectural choices that affect privacy.
Topics Covered:

• Shashank describes his origin story, how he became interested in security, privacy, & AI while working on Wall Street; & what motivated him to found Uno
• The benefits to using "temporal knowledge graphs," and how knowledge graphs are used with LLMs to create a "causal discovery inference model" to prevent privacy problems
• The explosive growth of Generative AI, it's impact on the privacy and confidentiality of sensitive and personal data, & why a rushed approach could result in mistakes and societal harm
• Architectural privacy and security considerations for: 1) leveraging Generative AI, and those to avoid certain mechanisms at all costs; 2) verifying, assuring, & testing against "trustful data" rather than "derived data;" and 3) thwarting common Generative AI attack vectors
• Shashank's predictions for Enterprise adoption of Generative AI over the next several years
• Shashank's thoughts on proposed and future AI-related legislation may affect the Generative AI market overall and Enterprise adoption more specifically
• Shashank's thoughts on the development of AI standards across tech stacks
  

Resources Mentioned:

• Check out episode S2E29: Synthetic Data in AI: Challenges, Techniques & Use Cases with Andrew Clark and Sid Mangalik (Monitaur.ai)

Guest Info:

• Connect with Shashank on LinkedIn
• Learn more about Uno.ai

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Chapters

1. S2E30: "LLMs, Knowledge Graphs, & GenAI Architectural Considerations" with Shashank Tiwari (Uno) (00:00:00)

2. Shashank describes his origin story, why he became interested in security, privacy, & AI; and what motivated him to found Uno (00:01:56)

3. The benefits to using "temporal knowledge graphs;" how knowledge graphs are used with LLMs to create, what Shashank calls, "causal discovery;" and how this approach helps privacy (00:04:53)

4. Shashank's thoughts on how the explosive growth of Generative AI has impacted privacy & confidentiality (00:13:14)

5. Architectural choices to consider when leveraging Generative AI, and those to avoid certain mechanisms at all costs (00:20:59)

6. Architectural considerations for verifying, assuring, & testing against "trustful data;" and what makes data "trustful" (00:28:26)

7. Architectural considerations for thwarting common Generative AI attack vectors (00:35:29)

8. Shashank's predictions for Enterprise adoption of Generative AI over the next few years (00:43:56)

9. Shashank's thoughts on proposed and future AI-related legislation may affect the Generative AI market overall and Enterprise adoption more specifically (00:50:34)

10. Shashank's thoughts on the development of AI standards across tech stacks (00:54:36)