The go-to show for business leaders navigating AI adoption in the real world. Host Keith Richman talks with operators, founders, and business leaders who are actually deploying AI—exploring what works, what doesn't, and how to bridge the gap between AI's capability and practical implementation. Smart, grounded, actionable.
Applied Intelligence
Claim This Podcastby Keith Richman
15 episodes
Updated Daily
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Podcast Overview
The go-to show for business leaders navigating AI adoption in the real world. Host Keith Richman talks with operators, founders, and business leaders who are actually deploying AI—exploring what works, what doesn't, and how to bridge the gap between AI's capability and practical implementation. Smart, grounded, actionable.
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Publishing Since
1/26/2026
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Recent Episodes
July 31, 2026
Why "Mr. Paranoid" Is Right About AI Security
In this episode of Applied Intelligence, Keith Richman sits down with Polygraf CEO Yagub Rahimov to uncover the hidden cybersecurity risks of everyday AI adoption. Dubbed "Mr. Paranoid," Rahimov explains how seemingly harmless tools—like AI meeting note-takers, QR codes, or even emojis—can be weaponized to expose contextual intelligence, hijack AI agents, and bypass traditional privacy regulations like HIPAA and GDPR. The conversation explores real-world cautionary tales, from $17,000 accidental Gemini API bills to job candidates using undetectable AI teleprompters to cheat in interviews. Rahimov outlines a practical framework for mitigating these risks, advocating for robust, edge-based access controls and in-line behavioral guardrails that secure data without disrupting workflow or AI performance. Timestamps: Chapters 00:00:00 Introduction: The AI Interview Cheating Epidemic 00:00:35 Mr. Paranoid: Why Optimism Requires Seeing the Negative 00:01:59 The Hidden Dangers of QR Codes and Emojis 00:02:55 Contextual Intelligence: The Mosaic That Exposes Everything 00:04:39 Paying AI Twice: Your Data and Your Money 00:05:37 Building Your AI Stack: The Six Critical Variables 00:08:05 The Claude Code Problem: Are You Exposing Yourself? 00:09:19 AI Behavioral Control: Allow, Deny, Fix, Proceed 00:13:23 The Google Gemini API Disaster: A $17,000 Lesson 00:14:57 Meeting Note Takers: Your Data Goes to 7 Different Providers 00:17:01 Deepfakes and Voice Cloning: The 3-5 Second Problem 00:18:21 Meeting Guard: Detecting AI Cheating in Real-Time 00:20:30 The Recruitment Horror Story: 1,200 Candidates, 3 AI Imposters 00:21:33 The CEO Mandate Paradox: Push AI While Managing Existential Risks 00:22:23 The Grammarly Approach: Contextual Privacy for Every User 00:23:44 If You Don't Own Your Data, Someone Else Owns You 00:25:03 The Future Is in Our Control #ArtificialIntelligence #Cybersecurity #MachineLearning #DataPrivacy #TechPodcast #DataSecurity #Deepfakes #AITrends #BusinessTech #tech
July 21, 2026
AI Expert Warns of the AI Hacking Epidemic
In this episode of Applied Intelligence, host Keith Richman sits down with cybersecurity expert David Campbell. They dive deep into the real-world dangers of artificial intelligence, exploring everything from prompt injections to malicious autonomous agents and the growing threat of "shadow AI" in corporate networks. David breaks down how businesses can safely deploy AI by maintaining visibility and implementing classic cybersecurity frameworks, explaining why rushing into AI adoption can lead to massive vulnerabilities. They also discuss AI red teaming, the changing landscape of digital threats, and practical tips for securing your personal and business data. Whether you're a Fortune 100 executive or a small business leader, this episode offers grounded, actionable advice to prevent a dark AI future while safely unlocking its potential. Timestamps: Chapters 00:00:00 Introduction: The AI Hacking Epidemic 00:00:29 The Robotics Capital Challenge and Real-World Model Training 00:01:45 How Screwed Are We? The Doomer Perspective on AI Security 00:03:20 AI Alignment: The Helpful vs Harmless Paradox 00:04:30 Cybersecurity Education: Why Offense Makes Better Defense 00:06:31 What Is AI Red Teaming and Why It Matters 00:09:14 The BIC Framework: Behavior, Identity, and Controls 00:10:18 Shadow AI: The Visibility Crisis in Enterprise 00:12:13 Securing Agentic Systems: The OpenClaw Example 00:14:12 The Speed vs Security Tradeoff 00:17:40 Model Selection and Universal Jailbreaks 00:20:21 Open Source Models and the Pickling Threat 00:21:36 Insider Threats: From Token Drain to Data Exfiltration 00:24:02 The Scale of Modern AI Attacks 00:26:23 Practical Security for Small to Medium Businesses 00:28:43 The Scale AI Experience: Building AI Security from Scratch 00:31:30 Government Preparedness and Policy Education 00:33:31 Choosing Vendors and Avoiding the All-in-One Trap 00:35:00 Personal Tech Stack: How an AI Security Expert Protects Himself #ArtificialIntelligence #CyberSecurity #MachineLearning #BusinessStrategy #Podcast #TechNews #RedTeaming #Technology #DataSecurity #TechTrends
July 8, 2026
The Invisible AI Failures Costing Your Business
In this episode of Applied Intelligence, host Keith Richman sits down with Moritz Sudhof, Co-founder and CEO of Bigspin AI, to uncover the hidden realities of enterprise AI adoption. Moritz introduces the concept of "invisible failures"—when AI errors go completely undetected by users and dashboards—and explains the rising phenomenon of "tokenflation," where AI tokens yield less raw work output over time. They explore why user behavior dictates AI success far more than raw model capability, how to measure true AI ROI beyond basic metrics, and the upcoming challenge of verifying output in a future dominated by AI agents talking to other AI agents. If you want to understand how to effectively manage, measure, and deploy AI in your business without flying blind, this conversation is a must-watch. Chapters 00:00:00 Introduction: The Research Experiment That Went Rogue 00:00:50 What Are Invisible Failures and Why 79% Go Undetected 00:02:04 The User Experience Paradox: Sometimes Brilliant, Sometimes Terrible 00:04:08 The 3% Power Users: Augmentation vs Delegation 00:07:00 The Impossible Question: Defining Good in AI Coaching 00:14:56 Tokenflation: When Your AI Budget Buys Less Over Time 00:19:49 Beyond Productivity: Measuring Compounding Value and New Capabilities 00:23:04 The Slot Machine Problem: Why Passive Users Fail 00:25:57 The Token Maxing Trap: Why Spending Millions Doesn't Guarantee Results 00:27:11 Who Should Lead AI Transformation: Not Your Tiger Team 00:30:21 The Observability Challenge: Mining Session Transcripts for Truth 00:33:33 Designing Interactions, Not Just Capabilities 00:35:02 The Hidden Data Asset: Learning from Every Session 00:36:48 The Agent-to-Agent Future: Who Watches the Watchers 00:37:38 The Verification Bottleneck: Why Creation Outpaces Review 00:42:59 The Scientific Integrity Incident: A Cautionary Tale 00:44:29 Flying Blind: The Cost of No Visibility 00:45:33 The Future Stack: LLMs Watching LLMs 00:47:18 The Attention Economy: Directing Human Judgment Where It Matters #AI #ArtificialIntelligence #EnterpriseAI #FutureOfWork #TechTrends #MachineLearning #BusinessTech #Innovation #TechLeadership #SoftwareEngineering
15 total episodes available
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