Recorded live from the Ai4 podcast pavilion, Sam talks with Anand Revashetti, Co-Founder & CEO of Lineaje, about a problem most companies don't realize they have: they're confident their AI-generated code is secure, but very few actually have visibility into it.

What's Covered:

Where the Trust Gap Comes From — Executives see AI adoption metrics and productivity gains. Security teams see code shipping thousands of times a day with no clear record of who — or what — generated it. Anand explains exactly where that disconnect forms inside real organizations.

A New Class of Attack — Reasoning-based attacks that exploit a model's decision weights directly, with no traditional vulnerability involved. Anand walks through how a small test exploit can scale into a multi-million-dollar fraud incident.

Not a Roadblock, a Provenance Layer — How Lineaje operates inside the developer's own environment, attaching a clear record — which developer, which AI model, which skills — to every piece of code, without slowing anyone down.

The Bad Habit Nobody's Talking About — Unlike traditional software that stayed stable for years, AI models get effectively rewritten on every release. Anand explains why that breaks the old maintenance playbook, and what continuous assurance actually looks like instead.

On the AI Job Apocalypse — A grounded, experience-based take on the doom rhetoric circulating the conference: from a security standpoint, AI has been a genuine boon, not a threat to the field.

Key Quote: "The worst thing you can do to a person who is driving and enjoying on a speedway is implement some sort of roadblock. Lineaje doesn't try to be a roadblock — but we manage all your policies."

Connect:

https://www.linkedin.com/in/arevashe/

https://www.lineaje.com/

Subscribe: Spotify | Apple Podcasts | Amazon Music | iHeart Radio | YouTube

#Ai4Conference #Lineaje #AISecurity #SoftwareSupplyChain #AsembleAI

Recorded live from the Ai4 conference floor in Las Vegas, Sam sits down with Dilo Wijesuriya, President & COO of ARC Document Solutions, to talk about the unglamorous but essential layer of enterprise AI: getting decades of paper archives into a format models can actually learn from.

What's Covered:

The Technology — ARC holds patents for OCR on wide-format documents (architectural drawings, engineering blueprints) that standard scanning tools can't accurately process, backed by a 200-person engineering team in India.

Security & Compliance — SOC 2, SOC 3, ISO 27001, and HIPAA compliant, running on AWS — built for regulated industries like healthcare and financial services.

Will Paper Disappear? Dilo's view: not for a long time. Most organizations' most critical institutional knowledge still exists only on paper, meaning today's LLMs simply can't learn from it yet.

The Book Destruction Debate — A direct response to recent controversy over companies destroying physical books after digitizing them, and why ARC's non-destructive robotic scanning preserves originals for high-value collections at universities, libraries, and museums.

Looking Ahead — Why Dilo believes the next competitive advantage for most enterprises isn't a better model — it's finally accessing the data already sitting in their own archives.

Key Quote: "The challenge isn't finding more data. It's making existing information accessible."

Connect with Dilo and ARC:

Dilo Wijesuriya: https://www.linkedin.com/in/dilo-wijesuriya/

ARC Document Solution: https://www.e-arc.com/

Subscribe: Spotify | Apple Podcasts | Amazon Music | iHeart Radio | YouTube

#Ai4Conference #DocumentDigitization #AIReadyData #EnterpriseAI #OCR #AsembleAI

This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Kathryn Harrison, Global VP of Strategy in AI Commercialization at Concentrix — and an exited founder who built and sold the B2B SaaS platform MakePay, founded Deep Trust Alliance, and previously helped lead IBM Blockchain — about what it actually takes to turn AI into measurable value across a global enterprise.

What's Covered:

Humans Plus AI, at Global Scale — Concentrix runs customer and technical support across 75 countries and 150 languages. Kathryn makes the case that the future workforce isn't AI replacing people — it's humans plus AI and automation — and what that looks like across 400,000 employees with segmented AI access.

Three Rules for Commercializing AI — Kathryn's framework for doing it at scale: start with outcome-based use cases, redesign the work instead of bolting AI on, and build in guardrails, integration, compliance, observability, and humans-in-the-loop. Plus why she frames "tokenomics" as capital allocation.

The Agentic Operating System — How Concentrix uses agentic workflows to recruit and onboard 50,000 hires a year, with a 21-day implementation goal — a real production system, not a demo.

From Pilots to ROI — Why most AI stalls before it delivers, how to actually measure return, and where enterprise AI spend most often goes wrong.

The Deepfake Threat — Drawing on her work founding Deep Trust Alliance, Kathryn on the rise of deepfake-driven fraud, how it differs from traditional cybersecurity, and the broader societal risks.

The Coming Shakeout — Orchestration across messy client tech stacks, consolidation among AI startups, and where Kathryn sees AI and automation heading next.

Connect with Kathryn:
LinkedIn: https://www.linkedin.com/in/kathrynannharrison/
Concentrix: https://www.concentrix.com/
Deep Trust Alliance: https://www.deeptrustalliance.org/

Follow and subscribe to AsembleAI: Spotify | Apple Podcasts | Amazon Music | iHeart Radio | YouTube | Substack

#Ai4Conference #AICommercialization #Deepfakes #AgenticAI #Concentrix #AsembleAI