Every cybersecurity breach has a warning.

The problem is - nobody sees it in time.

Monzy Merza spent 12 years as an applied security researcher in a nuclear weapons lab before going on to lead teams at Splunk, Databricks, and HSBC.

In this episode, he shares the moment that changed everything - when he realised the industry had been ignoring what customers were saying for years: “We’re never going to put all our data in one place.”

That insight led him to leave his executive role, become an operator, and build Crogl - an AI system designed to investigate every alert so nothing gets missed.

Key topics:

• Founder–market fit explained
• Why most founders misunderstand customer problems
• The reality of cybersecurity operations
• Why 399 out of 400 alerts don’t matter
• How AI is transforming security teams
• Turning weeks of analysis into minutes

Why this matters:

The biggest risks in cybersecurity aren’t hidden - they’re missed.

Understanding how real problems are discovered, validated, and solved is critical not just for security leaders, but for founders, operators, and investors building in complex markets. In this episode:

• 00:00 Why listening to customers is harder than it sounds
• 06:22 What founder–market fit actually means
• 12:14 The problem Crogl solves
• 14:42 The aha moment on a Databricks customer call
• 18:01 Leaving an exec role to become an operator at HSBC
• 24:52 Why being an operator first changes everything
• 27:28 400 alerts a day: the barbell effect of cybersecurity
• 30:38 How Crogl turns analysts into heroes
• 34:45 The long-term vision for Crogl

About the guest:

Monzy Merza is the founder and CEO of Crogl. Previously, he spent a decade at Splunk, served as an executive at Databricks, and worked as a security operator at HSBC - all after 12 years as an applied security researcher in the U.S. nuclear weapons complex.

About the podcast:

Inside the Silicon Mind explores how founders, investors, and operators think - unpacking the decisions, insights, and patterns behind building in Silicon Valley and beyond.

Stay curious. Stay consistent. Stay Inside the Silicon Mind.

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Don’t forget to follow the podcast for more conversations with founders, operators, and investors shaping the future of technology.

Most people think venture capital and private equity are simply different stages of investing.

In reality, they are fundamentally different approaches to building and scaling companies.

In this episode of Inside the Silicon Mind, Firas Sozan sits down with Evan Silberhorn to unpack how value is actually created across both models - and why understanding this matters more than ever in today’s AI-driven landscape.

What you’ll learn:

• The core differences between venture capital and private equity
• Why venture capital prioritises growth, while private equity focuses on efficiency
• How private equity firms create value through structured execution
• What a value creation plan is and how it shapes company strategy
• The realities of operating under private equity ownership
• How AI is influencing capital deployment, hiring, and valuations
• Why today’s AI market may not be sustainable long-term
• The differences between East Coast and West Coast investing cultures
• The types of support founders receive from VC vs private equity

About the guest:

Evan Silberhorn has built his career across product, consulting, startups, and private equity.

From co-founding a data-driven startup to working within BCG Digital Ventures and private equity portfolio operations, Evan brings a unique perspective on how companies are built, scaled, and optimised for value.

Key takeaway

• Venture capital chases growth.
• Private equity engineers outcomes.

Understanding when and how each model applies can define the trajectory of a company.

Book recommendations

• The Lean Product Playbook - Dan Olsen
• Breaking the Habit of Being Yourself - Joe Dispenza

Connect & follow

Follow Inside the Silicon Mind for conversations with founders, CEOs, and investors shaping the future of business and technology.

Aaron Fulkerson, CEO of Opaque Systems, joins Firas Sozan to break down confidential AI, enterprise data security, and the future of trusted AI infrastructure. As companies deploy AI across sensitive data, new technologies like confidential computing and confidential RAG are becoming essential for secure enterprise adoption.

In this conversation, Aaron explains how confidential AI works, why runtime verifiability matters, and what founders must understand about trust, privacy, and human agency in an AI-driven economy.

Quote from the Episode:

“Every major platform shift requires a new trust layer.”

– Aaron Fulkerson

Key Insight:

Confidential AI will become the security foundation for enterprise AI systems.

Episode Description:

Trust is no longer a soft concept in technology. In the age of AI agents, it is becoming a core infrastructure challenge.

In this episode, Aaron Fulkerson explains why every major platform shift requires a trust layer upgrade, and why enterprise AI adoption now depends on stronger guarantees around:

• data privacy
• policy enforcement
• runtime verifiability

Aaron breaks down how Opaque Systems enables confidential AI, including confidential RAG workflows that allow enterprises to use sensitive legal, HR, finance, and customer data without exposing it in the clear.

We also explore:

• Metadata leakage and hidden competitive risk
• Cryptographic proof and confidential computing
• Performance trade-offs in secure AI inference
• Model poisoning and hidden agendas in AI systems
• The founder mindset required to build high-trust teams

If you are building enterprise AI platforms, AI agents, or data-sensitive applications, this episode provides a practical look at the future of secure AI infrastructure.

We cover:

• Why enterprise AI adoption requires confidential computing • How confidential RAG protects sensitive organizational data • The hidden risk of metadata leakage in AI systems • What runtime verifiability means before, during, and after inference • The three pillars of trust: caring, consistency, and competency • Why AI increases the need for human connection, not lessens it

Who this is for:

Founders, operators, investors, and technical leaders building AI products or deploying enterprise AI in sensitive environments.

Key Topics:

• confidential AI • confidential computing • enterprise AI security • confidential RAG • runtime verifiability • AI trust infrastructure • secure AI inference

Technologies and Concepts Mentioned:

• Confidential AI • Confidential RAG • Confidential Computing • OpenAI • Anthropic • Apple Private Cloud Compute • Kubernetes • H100 GPUs • GDPR • HIPAA • Traction • The Master Switch, Tim Wu

Related Episodes:

Why AI Is Breaking Our Trust - Gidi Cohen

https://insidethesiliconmind.com/why-ai-is-breaking-our-trust-and-how-to-fix-it-gidi-cohen-ep-19/

What Happens When AI Moves Into Production - Rob Bearden

https://insidethesiliconmind.com/this-is-what-happens-when-ai-finally-moves-into-real-world-production-rob-bearden-ep-16/

AI Agents: What Actually Matters | Leonid Igolnik

https://insidethesiliconmind.com/ai-agents-best-practices-what-actually-matters-intent-testing-context-with-leonid-igolnik/

AI Recruiting: Hiring Engineers for Potential | Joseph Doyle

https://insidethesiliconmind.com/ai-recruiting-with-joseph-doyle-how-to-hire-engineers-for-potential-not-noise-ep-22/

Links and Resources:

Spotify: https://bit.ly/spotify-itsm Apple Podcasts: https://bit.ly/apple-itsm Website: https://insidethesiliconmind.com/ Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

About the Show:

Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

David Paffenholz, Co-Founder of Juicebox, shares how AI recruiting software is reshaping talent acquisition, why speed and quality can now coexist, and what founders should know about product led growth and fundraising.

Episode Description Recruiting is becoming one of the most competitive markets in the modern economy. In this episode, David Paffenholz explains why AI recruiting software is positioned to redefine how companies source and engage talent.

We explore how Juicebox evolved from a talent marketplace into an LLM powered search platform that evaluates every candidate profile in natural language. David breaks down how improving signal to noise in sourcing gives recruiters a measurable advantage, why product led growth works in HR tech, and how competing with LinkedIn is about workflow rather than replacing the database.

We also go inside the founder journey, from Y Combinator to raising over 30 million, the emotional reality of resetting revenue to zero during a pivot, and what it takes to build in Silicon Valley. This episode is both a masterclass in recruiting technology and a candid look at startup resilience.

We cover • Why recruiting is a zero sum market where speed matters • How LLM powered search improves sourcing quality • Product led growth versus traditional enterprise HR sales • Lessons from raising seed and Series A capital • The future of AI in recruiting and human relationships

Who this is for Founders, recruiters, operators, and investors who want to understand how AI is changing talent acquisition and startup building.

Links and Resources Spotify: https://bit.ly/spotify-itsm Apple Podcasts: https://bit.ly/apple-itsm Website: https://insidethesiliconmind.com/ Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

Mentioned in This Episode • Chip War by Chris Miller

About the Show Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

Anthony Lye, Chief Executive Officer (CEO) and Chairman of the Board at Quid, joins Firas Sozan to break down Silicon Valley disruption cycles and why AI is reshaping SaaS and services. You will learn how incumbents get blindsided, why distribution often beats pure technology, and how leaders build systems to test, adjust, and challenge assumptions fast.

Episode Description: In Silicon Valley, success is rented, and the rent is due every day. Anthony shares a 30 year perspective on tech cycles, the mindset that helps founders survive disruption, and why staying current is non negotiable.

We unpack why markets are resegmented, not created, and why the biggest shifts often come from distribution changes, not a magical new invention. From Netflix vs Blockbuster to Dell selling direct, Anthony explains how incumbents get trapped by legacy channels, incentives, and complacency.

Then we go straight into AI. Why AI flips enterprise software from tabs and workflows into outcomes, why agents change the economics of work, and why “software as labor” blurs the line between software and services. If you are building, investing, or operating in tech, this is your playbook for thinking outside in.

We cover: • Why disruption creates winners and losers, and why markets rarely have free money • How to stay current, test hypotheses, and avoid complacency • Netflix vs Blockbuster, technology plus distribution plus self disruption • Dell and the power of selling direct • Why AI changes SaaS, UX, and the move from tools to outcomes • Why services companies will be forced to become software companies

Who this is for: Founders, operators, investors, and tech leaders who want a practical lens on disruption, AI, and how to keep winning through change.

Links and Resources: Spotify: https://bit.ly/spotify-itsm Apple Podcasts: https://bit.ly/apple-itsm Amazon Music: https://bit.ly/amazon-itsm Website: https://insidethesiliconmind.com/ Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

Mentioned in This Episode: • The Button That Changed the World, Bob Goodson • Crossing the Chasm, Geoffrey Moore • Inside the Tornado, Geoffrey Moore • The Innovator’s Dilemma, Clayton Christensen • The Tipping Point, Malcolm Gladwell • “Software Eating the World” article, Marc Andreessen • Discontinuity theory • Chaos Monkey theory

About the Show: Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

In this episode, Vaibhav Nadgauda, Chief Executive Officer (CEO) of App Orchid, Inc., shares an operator to venture capital journey, how they built a founder friendly investing approach, and what changed when they stepped in as CEO after a founder’s passing. You will learn how VC fundraising works at the fund level, how to think about pivots and team quality, and why the enterprise AI wave is forcing a rethink of the data stack.

Episode Description What does founder friendly venture capital actually look like in practice, especially when the investor has lived the operator journey?

In this conversation, we break down the shift from building and exiting companies to raising a first fund, evolving the LP base over time, and learning the mental model change from operator problem solving to investor portfolio focus.

We also go deep on enterprise AI and data strategy, including why semantic layers, ontologies, and knowledge graphs are becoming critical for interacting with siloed enterprise data. If you are navigating venture capital fundraising, B2B software, product market fit, or go to market focus, this episode offers concrete lessons that translate.

We cover • Why teams beat the original pitch, and why pivots are normal • How LP trust is built, and what changes from fund one to fund three • The investor mindset shift, backing winners and allocating attention • Conviction vs delusion, and how to process customer feedback • Enterprise AI readiness, semantic layers, ontologies, and knowledge graphs • Seeing around the corner, why experience changes pattern recognition

Who this is for Founders, operators, and investors who want a sharper framework for VC fundraising, B2B investing, and the enterprise AI data shift.

Links and Resources Spotify: https://bit.ly/spotify-itsm Apple Podcasts: https://bit.ly/apple-itsm Website: https://insidethesiliconmind.com/ Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

Mentioned in This Episode • Until the End of Time, Brian Greene • Our Mathematical Universe, Max Tegmark • Only the Paranoid Survive • The Innovator’s Dilemma • ChatGPT • Knowledge graphs • Ontologies and semantic layers • Salesforce • SAP • Snowflake

About the Show Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.

Hassan Khajeh-Hosseini, the founder of Infracost, joins Firas Sozan to break down shift left FinOps, cloud cost prevention, and how engineers can understand cloud spend before code reaches production.

Episode Description Cloud cost optimization is still a mess, not because teams do not care, but because most tools start from the bill. By the time you see spend in a dashboard, the code is already in production and the waste is already happening.

In this episode, Hassan Khajeh-Hosseini, the founder of Infracost, explains shift left FinOps, a practical approach that runs cost simulations inside engineering workflows so teams can predict cloud costs before shipping. You will hear why cloud pricing exploded into millions of price points across AWS, Azure, and Google Cloud, how enterprise cloud spend can reach hundreds of millions per year, and where cost waste hides in day to day infrastructure decisions.

We also cover the founder side, fundraising signals, why inbound distribution matters, how a failed startup taught a hard lesson about hiring rare talent, and why product market fit is a moving target that can feel scary when it hits.

We cover • Why traditional FinOps starts too late, after spend is incurred • How to simulate cloud costs from infrastructure as code before deploys • The $550,000 per month change that got stopped in review • ICP personas, engineers, platform teams, FinOps, and engineering leadership • Distribution pull vs push, and why it changes GTM economics • Fundraising, story, network, and early usage metrics that matter

Who this is for: Founders, operators, and tech leaders who want practical ways to prevent cloud waste and build stronger FinOps and platform engineering practices.

Links and Resources Spotify: https://bit.ly/spotify-itsm Apple Podcasts: https://bit.ly/apple-itsm Website: https://insidethesiliconmind.com/ Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/

Book Recommendations from this episode: • Steve Jobs, by Walter Isaacson • The Count of Monte Cristo, by Alexandre Dumas • Acquired podcast • Heavyweight podcast • Secrets of Sand Hill Road, by Scott Kupor

About the Show Inside the Silicon Mind is your masterclass in high-stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.