The Enterprise AI Show

SUMMARY: Steven Walchek, Founder and CEO at Liminal, discusses secure AI enablement for regulated industries and why most enterprises are stuck in perpetual AI pilots. We explore the "agentic cliff" and how Behavioral Agent Automation Platforms (BAAPs) discover and deploy agents by observing how work actually happens.
SHOW: 1046
SHOW TRANSCRIPT: The Enterprise AI Show #1046 Transcript
SHOW VIDEO: https://youtu.be/nVte_ZKDID4
SHOW SPONSORS:
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
Nasuni - Activate your data for AI and request a demo
RESOURCES:
Liminal AI
Steven Walchek - LinkedIn
KEY TOPICS:
Horizontal security for generative AI
Data privacy and compliance in AI
Security layers in AI deployment
Agentic AI and behavioral automation
Future industry trends in AI security
TAKEAWAYS
Security for AI must be integrated at the application layer, not just network or perimeter.
Data privacy concerns are central to AI adoption in regulated industries.
Organizations need a security layer that supports multi-model, multi-provider AI engagement.
Behavioral automation and agentic AI require observability and policy enforcement.
The AI industry is still in early adoption, with significant growth expected in the next five years.
CHAPTERS/TOPICS:
00:00 Introduction and guest introduction
02:09 Steven's background and journey in tech
03:54 The core problem of AI security in regulated industries
07:45 Data privacy concerns and industry challenges
12:01 Liminal's approach to AI security and compliance
15:52 Security at the application layer and network layer
20:02 Agentic AI, behavioral automation, and observability
30:04 Future trends and industry outlook
31:46 How to connect with Liminal and closing remarks

FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

SUMMARY: On today’s "Models and Markets" - we explore about the FinOps experience from Cloud is having to adapt to the changing demands of Enterprise AI. 
SHOW: 1045
SHOW TRANSCRIPT: The Enterprise AI Show #1045 Transcript
SHOW VIDEO: https://youtu.be/Plb88y-IkZY
SHOW SPONSORS:
Nasuni - Activate your data for AI and request a demo
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
SHOW NOTES:
Topic: Finops for AI?
Why now? Cost of tokens goes up as model performance increases, but still needs subsidies…
Past: FinOps for Cloud - prices grew out of control, needed centralization for expense management and capital allocation
Present: TokenMaxxing, the move from per-seat to per-token pricing
Future: What happens when you can’t afford the Ferrari anymore? Will there be a glut of FinOps for AI startups? What happens when usage is regulated and centralized?
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

SUMMARY: Something new - "Models and Markets" - Aaron and Brian explore how recent news and macro trends are causing more companies to explore whether they should Buy, Build or Rent their AI future. 
SHOW: 1044
SHOW TRANSCRIPT: The Enterprise AI Show #1044 Transcript
SHOW VIDEO: https://youtu.be/vcroGCXd3N4
SHOW SPONSORS:
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
Nasuni - Activate your data for AI and request a demo
SHOW NOTES:
Topic: Own AI or Rent AI?
Why now? Fable 5 and GPT 5.6 get restricted in the US
Past: Private Cloud (on-prem/server huggers) vs. Public cloud vs. *gasp* hybrid cloud
Present: OSS Models vs. Big API models
Future: What happens when the subsidies go away, and rational business practices hit the industry??
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

SUMMARY: While we spend a lot of time discussing AI models, we don’t always spend enough time on the challenges of managing the unstructured data used to train, tune, and enable those models. 
SHOW: 1043
SHOW TRANSCRIPT: The Enterprise AI Show #1043 Transcript
SHOW VIDEO: https://youtu.be/OAqnuhorMJ4
SHOW SPONSORS:
Nasuni - Activate your data for AI and request a demo
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
SHOW NOTES:
Topic 1 - Welcome to the show. Tell us a bit about your background and where you focus today at Nasuni
Topic 2 - We’ve spent two years talking about models. Are we finally entering the era where the biggest differentiator is data quality rather than model quality?
Topic 3 - When customers inventory their AI-ready data, what surprises them most?
Topic 4 - Where is the intersection of file data, metadata, and RAG systems that augment a company’s AI experience with their own data?
Topic 5 - People talk about AI governance, but isn’t most AI governance actually data governance?
Topic 6 - Are today’s enterprise file systems designed for machine consumers (AI Agents) instead of human consumers?
Topic 7 - What are the economics of data, in your world, as it relates to AI?
Topic 8 - What’s next for enterprise file platforms?

FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

SUMMARY: Are CEO's frustrated with the lack of control, costs and sovereignty of their AI environments? 
SHOW: 1042
SHOW TRANSCRIPT: The Enterprise AI Show #1042 Transcript
SHOW VIDEO: https://youtu.be/xgQv8WP-DNI
SHOW SPONSORS:
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!
Nasuni - Activate your data for AI and request a demo
SHOW NOTES:
Palantir and NVIDIA partnership (June 2026) - first 11 minutes
Palantir CEO (Alex Karp) on CNBC
“The VPC Privacy Illusion - Why Private LLMs still expose your data”
The biggest mistake organizations make isn’t choosing the right model, it’s focusing on models at all (via LinkedIn)

There’s a level of unhappiness and distrust of the frontier labs from CEOs
There needs to be an application layer on top of LLMs (e.g. “harness”, Palantir Ontology)
This application layer prevents the LLMs from learning your business from your data
“Alpha” is business differentiation (ability to outperform the market)
He questions why the frontier model labs are charging by tokens and not outcomes (questions the entire AI business model)
He questions “the true cost” of AI outputs 
He claims that CEOs are now concerned about frontier labs entering the business of the customers - brings up an interesting misunderstanding of how interacting with LLMs works (“we’re safe, it’s deployed in our VPC”)
FEEDBACK?
Email: show @ the enterprise ai show dot come
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow