AI Masters: Mike May, Mountain Theory | Why Your AI Will Get Hacked (And How to Stop It)

The 9x Method: AI-First Operations | Jan Meinecke, Co-Founder @ 9x

In this episode of The Genius Scale Podcast, we sit down with Jan Meinicke, co-founder of 9x, to unpack what “AI-first operations” actually looks like inside B2B scale-ups. Jan shares how 9x evolved from an automation agency into an AI enablement company focused on training business teams to build their own no-code and AI workflows. They cover why upskilling teams can outperform outsourcing automation, the three capability areas needed to get real value from AI (domain expertise, an experimental mindset, and core technical understanding), and a practical framework for prioritizing workflows using time and frequency. The conversation also touches on where human-in-the-loop still matters and how leaders can approach AI adoption and reskilling with clarity.

Kingsley Ndoh, Hurone AI | Closing the 30% Cancer Care Gap

Community cancer centers treat 80% of American cancer patients but have up to 30% higher mortality rates than academic institutions. Kingsley Ndoh watched his aunt suffer through a late-stage colorectal cancer misdiagnosis in Nigeria, then discovered this disparity stems from resource constraints: community oncologists carry three times the workload with limited access to cutting-edge research and clinical trial results that academic centers implement immediately. His solution: Hurone AI, a digital oncologist achieving 50% workload reduction and 95% protocol compliance. While competitors focus on diagnostics, Kingsley tackles the treatment decision gap with voice-activated data retrieval, real-time guideline updates, and treatment options backed by references. From piloting in Rwanda with Kinyarwanda language support to FDA approval for UCSF and Johns Hopkins, Kingsley reveals why international datasets reduce AI bias and how value-based care models are accelerating adoption of clinical decision support systems. Key Topics * Why community cancer centers have 30% higher mortality despite treating 80% of patients * Building a digital oncologist with voice activation and real-time guidelines * Engineering out hallucinations using AWS Bedrock with feedback loops * FDA 510K approval for clinical decision support systems * Rwanda pilot with Kinyarwanda language before US rollout * Why international data diversity reduces AI bias in treatment * Value-based care shifting from fee-for-service to quality metrics Chapters * 00:00 From Nigeria to Silicon Valley: The Personal Story Behind Hurone AI * 04:32 The 30% Mortality Gap Between Cancer Center Types * 09:24 Building the Digital Oncologist: Treatment Decisions vs Diagnostics * 13:28 Engineering Out Hallucinations with AWS Bedrock * 15:26 Navigating FDA Approval and Healthcare Regulation * 18:00 UCSF Green Tumor Center: Piloting with Brain Cancer * 23:53 President's Cancer Panel and Technology Policy * 29:44 Global Testing: Rwanda Pilot and Multilingual Expansion * 34:00 International Data Standards and Bias Reduction * 38:00 The Ethics of AI in Healthcare: Why Symbiosis is Non-Negotiable Keywords: Hurone AI, oncology, clinical decision support, cancer care disparity, AI healthcare, FDA approval, value-based care, precision oncology, medical AI, global health equity

Hafsa Tahir, Agit | Transforming Fitness with AI: The Agit Story

How do you achieve 99% human action recognition using just a smartphone camera? Hafsa Tahir went from her first international flight to founding Agit in Silicon Valley—launching with a simple API before building complex models, then pivoting five times based on user feedback. The breakthrough: a livestream feature where one coach trains 1,000 people simultaneously while AI tracks every participant's form in real-time. Hafsa reveals how she turned a mentor's rejection ("this tech can never happen") into investment capital, why she shifted from solo coding to leading teams across two continents, and the immigrant mentality of working 80 hours to beat the 40-hour standard. Key Topics * 99% accuracy in human action recognition using only smartphone cameras * Launching with simple API to validate demand before building custom models * Real-time form tracking for 1,000-participant livestream fitness classes * Converting mentor rejection into investor capital through execution * The "small project test" for vetting co-founders before committing * Targeting "leader" investors who enable follower capital to close faster * B2C strategy: fitness influencers as distribution channels * Why human connection still matters despite cutting-edge AI technology * Three-task daily prioritization for founder sustainability Chapters 00:00 Introduction to Agit and the 99% Accuracy Achievement 03:01 Building Custom Models vs Starting with APIs 05:56 Leadership Evolution: From Software Engineer to CEO 08:57 Immigrant Advantage in Silicon Valley 11:57 Networking and Traction Before Fundraising 15:07 Finding Leader Investors First 17:58 The Small Project Test for Co-Founders 20:57 1,000-Person Livestream with Real-Time AI Tracking 23:57 Five Pivots Driven by User Feedback 27:12 Balancing AI Technology with Human Connection 29:49 Targeting Fitness Influencers for Network Effects Keywords: AI fitness, human action recognition, startup pivots, immigrant founder, Silicon Valley, fundraising strategy, livestream fitness, product-market fit, user feedback

Shubham Khichi, CyberAGI | The Inversion Theory That Flips Cybersecurity Upside Down

What if everything cybersecurity does is backwards? Shubham Khichi discovered two zero-day vulnerabilities worth $100K each by applying WWII "Inversion Theory"—the counterintuitive strategy of fortifying where planes DIDN'T get shot. His radical thesis: while 99.99% of cybersecurity companies fragment teams across millions of tools and expensive cloud solutions, the real breakthrough comes from inverting every assumption about how security should work. Khichi's CyberAGI platform runs "extremely local" with zero cloud callbacks, unlimited testing for flat rates, and architecture-driven threat modeling that maps what could actually destroy your organization. From bootstrapped beginnings to multi-billion dollar ambitions, discover how one founder's contrarian approach to offensive security is revolutionizing an entire industry—one inversion at a time. Key Topics * Zero-day discovery masterclass: How one client engagement uncovered $200K worth of vendor vulnerabilities * Full-stack offensive security: Why pen testers and defensive teams never talk (but should) * Inversion Theory from WWII planes: Fortify where attacks DON'T hit, not where they do * The fragmentation crisis: Teams scattered across "millions of tools" with zero collaboration * Local-first revolution: "We are not cloud-based. We are extremely local"—everything on your infrastructure * Bootstrapped efficiency: How AWS horror stories drove the anti-cloud architecture decision * Architecture-driven threat modeling: Upload diagrams, get security-focused rebuilds with vulnerabilities highlighted * Tabletop exercise automation: One-click DND-style attack simulations for cross-team preparedness * RunPod GPU partnership: Solving scalability without compromising privacy or breaking budgets * Conference-first sales strategy: Why founder-led marketing beats "used car salesman" LinkedIn tactics * The MSP distribution play: Early design partners in Dallas shaping product-market fit Chapters * 00:01 Introduction to CyberAGI and the Full-Stack Vision * 00:44 Building Unified Platforms from Fragmented Cybersecurity Teams * 01:53 Understanding Full Stack and Offensive Security Fundamentals * 05:07 Inversion Theory: WWII Strategy Applied to Cybersecurity Architecture * 07:15 The Platform Ecosystem: Making Cybersecurity Tools Communicate * 10:02 Targeting Small Businesses with Enterprise-Grade Protection * 12:27 Breaking the Price and Privacy Barriers in Cybersecurity * 13:31 Local Infrastructure vs. Cloud: The Anti-AWS Strategy * 17:08 GPU Scalability and RunPod Partnership for Resource Management * 19:11 Excalibur Platform: Autonomous Scanning and Attack Landscape Mapping * 21:06 Growth Through MSP Partnerships and Distribution Channels * 25:00 The Zero-Day Discovery Story: Customer Experiment That Changed Everything * 28:27 Conference-First Sales: Why Founder-Led Marketing Works * 31:42 Building Human Connection in an AI-Fragmented World * 34:57 Multi-Billion Dollar Vision: Beautiful Products That Work Together * 39:39 Creating Your Own Luck Through Hard Work and Mastery * 42:25 Future Modules: 100% Coverage Penetration Testing and Live Financial Reporting * 47:30 Final Advice: Using AI as Leverage, Not Replacement Keywords: Cybersecurity, AI, Offensive Security, Full Stack, Threat Modeling, CyberAGI, Excalibur, Inversion Theory, Platform Unification, Human Connection, Local Infrastructure, SMB Security

AI Masters: Mike May, Mountain Theory | Why Your AI Will Get Hacked (And How to Stop It)

Bad actors are weaponizing AI faster than businesses can secure it. Mike May, CEO of Mountain Theory and 25-year cybersecurity veteran (17 M&A deals in one year), drops hard truths about the 72% of companies already using AI without protection—and reveals his "separation of powers" framework that's keeping Fortune 500s alive. While everyone's rushing to deploy AI, May exposes the ByteDance intern attack that cost "tens of millions" and why your anomaly detection is probably useless against agentic AI attacks. With quantum computing about to shred current encryption "like tissue paper" and AI already passing Turing tests, this isn't just compliance—it's survival. May breaks down how multi-model separation prevents catastrophic single points of failure, why nation-state actors are already inside your systems (you just don't know it), and what businesses must do RIGHT NOW before autonomous AI attackers eliminate the human element entirely. His business partner invented 2FA and helped implement FBI fingerprinting—they're not messing around. Key Topics * 72% of companies using AI without security (293M companies globally) * ByteDance intern attack: How one malicious algorithm cost "tens of millions" * Why current anomaly detection fails against agentic AI that "hits roadblocks and keeps going" * Nation-state vs hacktivist attacks: The invisible data siphoning you'll never detect * Multi-model separation: Stop putting "all your eggs in one basket" * Quantum + AI convergence: "Leave that there" moment that changes everything * AI-to-AI attacks through JIPR protocols without human intervention * SOC 2, NIST, GDPR compliance gaps in AI-first companies * $4K budget can now build agentic AI—including for bad actors Chapters * 00:00 Introduction to AI Security and Separation of Powers * 02:00 Understanding the Separation of Powers Framework * 04:28 Integrating AI Security into Business Models * 07:12 Anomaly Detection in AI Systems * 09:36 The Role of AI in Cybersecurity * 11:57 The Future of AI and Cybersecurity * 14:33 The Impact of AI on Business Operations * 17:03 The Importance of Security Certifications * 19:36 Separation of Concerns in AI Development * 21:57 Unique Vulnerabilities in AI Systems * 23:54 Educating the Public on AI and Cybersecurity * 26:02 The Future Landscape of AI and Quantum Computing Keywords: AI security, separation of powers, anomaly detection, cybersecurity, agentic AI, business operations, AI regulations, quantum computing, trust in AI, AI vulnerabilities