Category: 3-SometimeTechTalk

Justin Brown, CEO of the Center for Public Sector AI and former Secretary of Human Services for the State of Oklahoma joins the show to level-set on where things stand with AI adoption in government—especially at the state and local levels. From small-scale AI implementations to larger strategic trends, we explore how emerging technologies are reshaping service delivery across health and human services. We also discuss the evolution of leadership conversations around AI, how states are approaching policy differently, and the rise of lightweight, outcomes-focused use cases.

Ivan Poupyrev grew up in the Soviet Union, studying rocket science. He moved to the US in 2013 to pursue the early days of VR. He has worked at Disney and Google, and has been focused on merging the physical and digital world for many years. Prior to this latest revolution, Ivan was one of the skeptics towards the idea of AI. But at Google, he was convinced by one of his now co-founders, the value in this tech.

Nick Gillian has been working in real time Machine learning for nearly 2 decades - but path here was a bit different. His background is in music and audio engineering - think the math behind amps, studios, mixers, etc. During his masters studies, he fell in love with sensors, and participated in early development and advancement of this tech alongside machine learning. He built a toolkit, which eventually got the attention of Ivan.

Ivan was working at Google, and one of his team members began utilizing the toolkit built by Nick. Upon discovering this, Ivan reached out to Nick to see if he wanted to join the top secret team - and eventually, Nick convinced Ivan of the power of machine learning and AI.

This is the creation story of Archetype AI.

Sponsors

• Mailtrap
• PropelAuth
• Tecla
• Speakeasy
• QA Wolf
• SnapTrade

Links

• https://www.archetypeai.io/
• https://www.linkedin.com/in/ivan-poupyrev/
• https://www.linkedin.com/in/nick-gillian-b27b1094/

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover 1) OpenAI's $40 billion fundraise 2) Is the $40 billion number real? 3) Can OpenAI live up to the expectations that come along with the money? 4) What OpenAI will spend the cash on 5) AI products are growing fast 6) Would you go to AI therapy? 7) Is AI a letdown? 8) Why AI boasts have gotten ahead of the technology 9) AI's brand risk 10) Was the problem with Apple Intelligence actually AI, not Apple? 11) Amazon launches Alexa Plus with missing features 12) Elon Musk's xAI acquires Elon Musk's X

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The Gene Simmons of Data P rotection: Protegrity's KISS Method

Today, we are kicking off a new series on the podcast, entitled The Gene Simmons of Data Protection - the KISS Method, brought to you by none other than Protegrity. Protegrity is AI-powered data security for data consumption, offering fine grain data protection solutions, so you can enable your data security, compliance, sharing and analytics.

Episode Title: KISS (Keep It Simple, Stupid): A Data Security Dilemma with James Rice

In this episode, we are talking with James Rice, VP at Protegrity. He is going to help us strip away the nonsense, when it comes to securing data, and help us understand why we don't need a fortress... just a kill switch. While companies throw billions at firewalls, AI driven threat detection, and fortress like defenses - attackers still find their way in. James reminds us to keep it simple, with Protegrity's KISS Method which stands for Keep It Simple Stupid - and how when data is useless to attackers, breaches become mere inconveniences instead of existential threats.

Questions:

• What exactly is the KISS method, and how does it apply to cybersecurity?
• Why are traditional cybersecurity approaches failing to stop breaches?
• What are some of the biggest myths about security that lead businesses to waste money on ineffective defenses?
• How do encryption, tokenization, and de-identification work together to make stolen data useless?
• Can you share an example where a company’s focus on complex security backfired, and how a simpler approach could have helped?
• What’s the biggest pushback you hear from companies hesitant to adopt a simpler, data-first security model?
•  If a company wanted to implement the KISS method tomorrow, what are the first three steps they should take?

Links

• https://www.protegrity.com/
• https://www.linkedin.com/in/jamesrice1/

In this episode of The BlueHat Podcast, host Nic Fillingham and Wendy Zenone are joined by security researcher Tobias Diehl, a top contributor to the Microsoft Security Research Center (MSRC) leaderboards and a Most Valuable Researcher. Tobias shares his journey from IT support to uncovering vulnerabilities in Microsoft products. He discusses his participation in the upcoming Zero Day Quest hacking challenge and breaks down a recent discovery involving Power Automate, where he identified a security flaw that could be exploited via malicious URLs. Tobias explains how developers can mitigate such risks and the importance of strong proof-of-concept submissions in security research. 

In This Episode You Will Learn: 

• Researching vulnerabilities in Power Automate, Power Automate Desktop, and Azure
• The importance of user prompts to prevent unintended application behavior
• Key vulnerabilities Tobias looks for when researching Microsoft products

Some Questions We Ask:

• Have you submitted any AI-related findings to Microsoft or other bug bounty programs?
• How does the lack of visibility into AI models impact the research process?
• Has your approach to security research changed when working with AI versus traditional systems?

Resources:     

View Tobias Diehl on LinkedIn  

View Wendy Zenone on LinkedIn  

View Nic Fillingham on LinkedIn 

Related Microsoft Podcasts:  

• Microsoft Threat Intelligence Podcast  
• Afternoon Cyber Tea with Ann Johnson  
• Uncovering Hidden Risks  

Discover and follow other Microsoft podcasts at microsoft.com/podcasts  

Hosted on Acast. See acast.com/privacy for more information.

Ivan Poupyrev grew up in the Soviet Union, studying rocket science. He moved to the US in 2013 to pursue the early days of VR. He has worked at Disney and Google, and has been focused on merging the physical and digital world for many years. Prior to this latest revolution, Ivan was one of the skeptics towards the idea of AI. But at Google, he was convinced by one of his now co-founders, the value in this tech.

Nick Gillian has been working in real time Machine learning for nearly 2 decades - but path here was a bit different. His background is in music and audio engineering - think the math behind amps, studios, mixers, etc. During his masters studies, he fell in love with sensors, and participated in early development and advancement of this tech alongside machine learning. He built a toolkit, which eventually got the attention of Ivan.

Ivan was working at Google, and one of his team members began utilizing the toolkit built by Nick. Upon discovering this, Ivan reached out to Nick to see if he wanted to join the top secret team - and eventually, Nick convinced Ivan of the power of machine learning and AI.

This is the creation story of Archetype AI.

Sponsors

• Mailtrap
• PropelAuth
• Tecla
• Speakeasy
• QA Wolf
• SnapTrade

Links

• https://www.archetypeai.io/
• https://www.linkedin.com/in/ivan-poupyrev/
• https://www.linkedin.com/in/nick-gillian-b27b1094/

Holistic AI is an AI governance platform that helps the enterprise adopt and scale AI.

Audioshake uses AI to mix, master, and separate music and other audio content.

Learn more about HumanX here. Feeling the FOMO? The event takes place again on April 7-9, 2026 in San Francisco. Early birds can register here.

Connect with Raj on LinkedIn.

Connect with Jessica on LinkedIn.

• mdformat
• pre-commit-uv
• PEP 758 and 781
• Serie: rich git commit graph in your terminal, like magic
• Extras
• Joke