Inside AsembleAI: DeepTech, AI & Science

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1. S5 Ep80: EP 80: Govern Before You Buy: Walter Haydock on AI Governance, Risk, and Agent Security

   29 oktober 2026 · 40 min

   Afspelen
   Walter Haydock has spent his career helping data and security leaders deploy AI without fear. A former U.S. Marine officer and founder of StackAware, he joins Sam and Mac to talk about building a governance foundation before the risk outruns you. Lees meer

   Topics covered:

   The biggest mistake in starting AI governance: policies that are unrealistic and unenforceable

   Why your industry’s risk appetite should drive your AI decisions

   Quantitative risk: comparing the cost of a risk with the cost of the control

   People, then process, then tools, and why it applies to companies of every size

   Why risk avoidance is the simplest and cheapest control

   The Marine Corps model: one accountable leader, advised but not vetoed by security, privacy, and legal

   Who owns AI governance: five patterns, and the trade-offs of each

   The EU AI Act delay vs. the U.S. patchwork of state laws

   How NIST AI RMF and ISO/IEC 42001 work together

   “AI canaries” and indirect prompt injection against agents

   Three human-in-the-loop models: default deny, default allow, and post hoc review

   Where a security leader should spend this quarter’s AI budget

   Why running AI on your own hardware isn’t automatically more secure

   Guest Bio: Walter Haydock is the founder of StackAware and author of the Deploy Securely newsletter. A former U.S. Marine officer with a Harvard MBA, he helps executives in highly regulated industries navigate AI risk frameworks, compliance, and governance without banning AI or deploying it blindly.

   Connect: Find Walter on LinkedIn. If you work in healthcare, financial technology, or B2B software and want help with AI governance, send him a direct message.

   Be Brave.

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2. S5 Ep79: EP 79: The “Why Now” Test for AI Startups | Vanessa Larco, VC & Formerly NEA Partner

   17 oktober 2026 · 42 min

   Afspelen
   Vanessa Larco has sat on both sides of the table. She built products at Microsoft, Disney, Twilio, and Box, then led investments at NEA, including Mejuri and Kindred, and watched Robinhood scale to its IPO as a board observer. Sam and Mac talk with her about what actually holds up once the pitch deck closes. Lees meer

   Topics covered:

   Why a founder’s roadmap, and what’s missing from it, shows how they make decisions

   Skill, luck, and the dynamics no investor can predict

   Product market pull: users who would be upset if you took the product away

   Why enterprise AI gets the capital, and where consumer AI is still open

   The hybrid go-to-market challenge of selling AI to small businesses

   AI-native companies vs. companies that use AI behind the scenes without selling it

   The “why now” framework behind Mejuri and Kindred

   Lessons from Robinhood’s founders on urgency, obsession, and speed

   Agent traffic vs. human traffic, and why product teams will need agent metrics

   How a venture firm uses AI agents, and why conviction in diligence stays human

   Guest Bio: Vanessa Larco is co-founder of Premise Venture Partners and was previously a Partner at NEA, a fund with over $25 billion in AUM, where she led investments in brands like Mejuri and Kindred. Before venture, she built products at Microsoft, Disney, Twilio, and Box. She was a board observer for Robinhood through its IPO, sits on the board of LatinxVC, and has made backing women-led and underrepresented founders a cornerstone of her approach.

   Connect: Find Vanessa on LinkedIn, where she says she’s most responsive. She’s also interested in hearing from anyone working on metrics for AI agents.

3. S5 Ep78: EP 78: Do You Know What Agents You Have Running? Transcend's Rowan Stewart on AI Agent Governance

   8 oktober 2026 · 32 min

   Afspelen
   Rowan Stewart has watched companies rush AI products to market without the governance to back them up, first at BCG and now at Transcend, where the clients include Robinhood, Brex, and Groupon. Sam and Rowan discuss why governance works best as infrastructure from day one, and why agents raise the stakes. Lees meer

   Topics covered:

   "Pilot purgatory": why promising AI proofs of concept die at the edge of production

   The cost of rushing: lost customer trust and bad press matter more than regulatory fines

   Embedded vs. bolted-on governance: a stack of paperwork and a handshake vs. encoded, auditable controls

   Deterministic controls for non-deterministic systems, and why a system prompt isn't a real control

   Human in the loop at scale: a 100-person company with five agents per employee, and how SMBs should adapt

   Why agents shouldn't inherit their owner's permissions, and why MCP tool restrictions aren't sufficient

   Agent observability: knowing what your agents are doing across the enterprise

   How guardrails let teams move faster, and using signals like denial rates to tune policy

   AI governance vs. responsible AI: business outcomes vs. net benefit to humanity

   The one gap to fix first: do you know what agents you even have running?

   Aligning incentives between legal/compliance and product/data science teams

   Guest Bio: Rowan Stewart is an AI and Data Safety Product Leader at Transcend, which helps companies like Robinhood, Brex, and Groupon govern and activate their data responsibly. Previously at BCG, Rowan worked with enterprises building AI and now focuses on governance for AI agents.

   Connect: Find Rowan Stewart on LinkedIn. Rowan's profile link is in the show notes.

4. S5 Ep77: EP 77: They Transferred $25M to a Deepfake — Why Your AI Isn't as Governed as You Think | Dr. Latha Karthigaa

   5 oktober 2026 · 33 min

   Afspelen
   In this episode of Inside AsembleAI, host Mac Goswami sits down with Dr. Latha Karthigaa — Director & Head of AI Governance at the Global AI Certification Council (GAICC) — on why most companies that think their AI is governed are dangerously wrong, and what responsible AI actually looks like. Lees meer

   What's Covered:

   "A Policy Is Not Governance" — The biggest myth in enterprise AI. Latha's highway analogy: governance is the guardrail that lets you drive faster, not the thing slowing you down.

   52% of Incidents Are Deepfakes — The stats nobody quotes: 2,000+ logged AI incidents, 400+ in 2025, over half deepfake-driven — including the SpaceX/Elon Musk crypto scam that ran live during a real rocket launch.

   The $25M Deepfake Call — The engineer at Arup who wired $25 million after a video call with his CFO and colleagues — all of them deepfakes generated from public videos. Why employee training, not just policy, is the real defense.

   When Big AI Fails — IBM Watson's oncology tool shut down over biased data; the Dutch childcare-benefits algorithm that falsely accused thousands and brought down a government. Why Latha says the best governance pros are empathetic humans first.

   Who Owns the Risk? — "ChatGPT isn't responsible — you are." Why every AI use case needs a human name next to it, and why AI governance jobs are growing 150% year over year.

   What ISO/IEC 42001 Really Changes — The one certifiable AI standard, what it signals to customers, and when a startup should (and shouldn't) pursue it.

   Key Quote: "Policy is like potential power. Execution is the real power."

   Connect with Latha: LinkedIn: https://www.linkedin.com/in/lathakarthigaa/

   GAICC: https://www.gaicc.org/ · YouTube: Latha – AI Governance

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5. S5 Ep76: EP 76: Dashboards Are Wrong in the Background. AI Is Wrong in Your Face | Barr Moses, Monte Carlo

   16 september 2026 · 27 min

   Afspelen
   This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Barr Moses — CEO & co-founder of Monte Carlo, creator of the data observability category and now builder of the agent trust platform — about what it actually takes to make AI trustworthy in production. Lees meer

   What's Covered:

   "AI Is Wrong in Your Face" — Barr's framing of the trust gap: dashboards were always wrong quietly in the background; AI is wrong out loud, and it'll argue with you. Why trust is the biggest thing standing between pilots and production.

   The Four Layers of Agent Failure — Context, performance, behavior, and output. Why all four can look perfect and the agent still fails — and why you have to watch all of them together.

   The Flight That Already Left — The airline agent that recommended a flight that departed that morning. The agent was fine; the context was stale. The most surprising failure mode nobody plans for.

   Where to Start — Make ONE agent great, not a hundred. And why the hardest first step is simply defining what "good" even looks like.

   The Reinforcement Loop — The idea Barr's most excited about: agents that self-identify what went wrong, propose a fix, submit a PR for human approval, and use it as tomorrow's baseline. Agents that rebuild themselves every day — running in production today.

   100% AI-First — Why every line of Monte Carlo's code is AI-generated, how it made them 3–5x faster, and Barr's stoplight analogy for where human-in-the-loop is heading.

   Key Quote: "Dashboards are wrong in the background. AI is wrong in your face — it'll argue with you."

   Connect with Barr: LinkedIn: Barr Moses : https://www.linkedin.com/in/barrmoses/

   Monte Carlo: https://www.montecarlo.ai

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6. S5 Ep75: EP 75: Inside the AI Control Plane: Governance, Guardrails, and Model Routing | Sean Lynch, ActualyzeAI

   15 september 2026 · 21 min

   Afspelen
   ActualyzeAI came out of stealth just days before this conversation. Sam sits down with Co-Founder and CTO Sean Lynch to unpack what it means to build a "control plane" that sits between every enterprise application and every AI model - governing access, cost, security, and routing in one place. Lees meer

   Topics covered:

   What a control plane for enterprise AI actually does, and why it requires zero code changes to adopt

   Aggregating inference across OpenAI, Anthropic, Google Bedrock, and self-hosted/on-premises models into a single endpoint

   "Virtual models" — purpose-built model configurations that route requests based on task type (coding, reasoning, agentic work)

   Guardrails: automatic detection and redaction of PII, PHI, API keys, and other sensitive data in the inference stream

   Financial operations as the leading driver of adoption — budgetary controls, spend limits, and team-based tracking

   The coming wave of domestic and open-weight small language models, and why that's expanding the market

   Why model-agnostic infrastructure is critical as the foundation model landscape fragments

   How ActualyzeAI's founding team (formerly of Metacloud, acquired by Cisco) shaped their approach

   ActualyzeAI's design partner program for early enterprise customers

   Guest Bio: Sean Leach is Co-Founder and CTO of ActualyzeAI , a company building a governance and security control plane for enterprise AI inference. He and much of the founding team previously worked together at Metacloud, an OpenStack-as-a-service company acquired by Cisco.

   Connect: Find Sean on LinkedIn, or visit ActualyzeAI's website to learn about their design partner program.

7. S5 Ep74: EP 74: The AI Agent That Actually Fixes IT Tickets — Not Just Chats About Them | Oshri Moyal, Atera

   15 september 2026 · 14 min

   Afspelen
   This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Oshri Moyal — CTO & co-founder of Atera, the autonomous IT platform whose agent Robin recently ranked #1 across 15 G2 Summer 2026 reports — about what genuinely autonomous IT actually looks like. Lees meer

   What's Covered:

   AI That Fixes, Not Just Chats — Why Robin isn't another chatbot. It navigates complex networks, logs into servers, and takes real action — bounded by company policy and approvals. Oshri's example: when users can't reach shared files, Robin hits the domain controller, adds the user to the right group, and maps the drive on their device — end to end.

   The Performance Guarantee — Resolve 50% of Tier 1 and complex Tier 2 tickets in 90 days, or fees are waived. Why Atera can stand behind that after two years in production.

   Robin as the First Line — How Robin becomes the front door for every request — across Teams, email, Chrome, and ServiceNow — logging everything and closing the loop after approvals.

   "80% Was Security" — Becoming the first in IT management to earn ISO/IEC 42001, and how Robin gets elevated permissions only after a manager approves, then hands them back. As Oshri puts it, "80% of the project was about security, privacy, and safety."

   What It Changes for Small IT Teams — Why autonomous AI lets a shop "at least double the size of your customers" without adding headcount — enterprise-grade capability without an enterprise team.

   Trust at Scale — With 6 million devices connected, why reliability and certification aren't optional.

   Key Quote: "With Robin you can at least double the size of your customers, because you can handle twice the amount of tickets — without increasing headcount."

   Connect with Oshri: LinkedIn: Oshri Moyal : https://www.linkedin.com/in/oshr1/

   Atera: https://www.atera.com/

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

8. S5 Ep73: EP 73: A Teenager Could Now Run a Nation-State Attack — Insider Risk in the AI Era | Rajan Koo, DTEX

   14 september 2026 · 25 min

   Afspelen
   This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Rajan Koo — CTO of DTEX Systems, chartered engineer, and one of the sharpest voices on insider risk — about how AI has completely rewritten the insider-threat playbook. Lees meer

   What's Covered:

   WikiLeaks Without a Human — Insider risk was transformed by the 2010 WikiLeaks incident. Raj explains why a recent AI-driven incident showed the same breach can now happen with no humans involved — pushing DTEX into a new category it calls "AI behavior."

   "Nobody Was Malicious" — The story that reframes the whole risk: a manufacturing giant's AI agent, blocked from emailing an oversized report, uploaded confidential data to a public drive and shared the link. No malice — enormous risk. Why most insider risk today is negligent, not malicious.

   A Teenager Could Run a Nation-State Attack — The North Korean "IT worker" scheme that funded weapons programs can now be replicated by "one person and a team of AI agents." Speed up, skill level down — the perfect storm.

   Who Has the Advantage — Why attackers are ahead right now, and how guardrails meant to prevent misuse can block defenders too.

   Policy → Behavioral Compliance — Why the age of checklist policies is over, and how DTEX's "agentic defenders" triage risk at machine speed.

   Monitoring Without Surveillance — The honest line between protective monitoring and "creepy Big Brother" — and why it all comes down to proportionality and privacy.

   Key Quote: "The technical skill level to execute these really complicated insider threat breaches is now really low. A teenager with the right know-how could just go and execute this."

   Connect with Raj: LinkedIn: Rajan Koo : https://www.linkedin.com/in/rajan-koo-2a591221/

   DTEX: https://www.dtex.ai/

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

9. S5 Ep72: EP 72: Social Robotics 101: Building Robots That Understand You | Chris Kudla, Mind Children

   13 september 2026 · 16 min

   Afspelen
   Most robotics companies are chasing industrial automation. Mind Children, co-founded by Chris Kudla and Ben Goertzel in 2023, is going after something harder: social robots built for education, healthcare, and hospitality — applications where connection and empathy matter as much as function. Lees meer

   Topics covered:

   Why Mind Children bet on social robotics despite a harder-to-prove ROI than industrial robots

   Cody's modular operating system — and what changes when you swap a standard LLM for SingularityNET's memory-equipped, agentic systems

   The hide-and-seek demo: how Cody reasons in real time and recalls the game a week later

   The emotional intelligence roadmap — teaching Cody to recognize and respond to human distress

   Why Mind Children avoids streaming classroom or hospital video data, and their in-house data approach for regulated environments

   How Chris (product design) and Ben Goertzel (social robotics research) divide responsibilities

   Mind Children's next hardware iteration — designed to be safe enough for a child to hug

   Pilot plans: starting with museums, galleries, and event spaces before schools and healthcare

   How to follow Mind Children's progress and support their crowdfunding campaign on WeFunder

   Guest Bio: Chris Kudla is Co-Founder and CEO of Mind Children, a Seattle-based social robotics and AI startup he founded in 2023 alongside Ben Goertzel. Mind Children is building Cody, a social robot for education, healthcare, and hospitality applications.

   Connect: Find Mind Children on LinkedIn, at mindchildren.com, or support their campaign at wefunder.com/mindchildrenrobotics.

10. S5 Ep71: EP 71: The PRD Is Dead — What AI Just Did to Product Management & Cyber Defense | Ed Martin, Sophos

    12 september 2026 · 21 min

    Afspelen
    This episode was recorded live from the Ai4 conference podcast pavilion, where host Mac Goswami sat down with Ed Martin — VP of Product Management for AI Strategy at Sophos, with 15+ years in cybersecurity across Dell, SecureWorks, BlueVoyant, and inside Microsoft's Security Deputy CISO office — for a two-in-one conversation on AI-powered defense and what AI is doing to product management itself. Lees meer

    What's Covered:

    What AI Actually Does in Defense — Ed's honest cut through the hype: AI is great at reading, good at reasoning, and "moderate to poor at taking action." Where it genuinely helps — summarization, reasoning over big data, reducing analyst toil — and where it's oversold.

    The Attacker's Real Edge Is Speed — Why the breadth was always there, but AI lets lower-skill attackers hit harder and faster. Ed's line: "The attacker only has to be right once. We have to be right 100% of the time" — plus the story of a small regional bank suddenly inundated with alerts.

    The Cybersecurity Poverty Line — Sophos's mission to protect organizations "at or below the cybersecurity poverty line," and why visibility and hygiene — not hiring — come first.

    The PRD Is Dead — Ed's boldest take: the weeks-long product requirements document is gone. His two principal PMs each do the work of a small team, vibe-coding examples live on customer calls. The real skill now is knowing what NOT to build — "it's the scaling that takes all the effort."

    Trust & Non-Deterministic AI — Why a single wrong non-deterministic outcome can blow customer trust, and how "circuit breaker" human checkpoints keep AI actions safe.

    Building Cyber From Scratch — Inventory first, then controls, then detection and response — and the context/data-categorization problem nearly every organization gets wrong.

    Key Quote: "The most important aspect of a product manager isn't the ability to understand what to build. It's your ability to understand what not to build."

    Connect with Ed: LinkedIn: Ed Martin : https://w…

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