The CTO Show with Mehmet Gonullu

Live events generate massive attention, yet most venues have no idea who is actually attending. In this episode, Mehmet Gonullu sits down with Matt Zarracina, CEO and Co-Founder of True Tickets, to unpack the hidden infrastructure problem behind ticketing, identity, and audience ownership.Matt shares how legacy ticketing systems optimized for transactions, not relationships, and why “shadow audiences” have become one of the biggest blind spots in live event tech. The conversation spans SaaS innovation in legacy industries, blockchain learnings, AI-driven personalization, and what it truly takes to build mission-critical infrastructure at scale.⸻About the GuestMatt Zarracina is the CEO and Co-Founder of True Tickets, a ticket custody and identity platform helping venues understand who is actually attending their events.His background spans the U.S. Naval Academy, helicopter aviation, systems engineering, an MBA, M&A consulting at Deloitte, and corporate innovation leadership before founding True Tickets full-time in 2018.https://www.linkedin.com/in/zarracina/⸻Key Takeaways • Why most venues only know 30–40% of their real audience • How “ticket custody” differs fundamentally from ticket sales • Why legacy ticketing systems were never designed for identity or post-sale visibility • The real reason ticket resale abuse and bots persist • How data unlocks personalization, donor growth, and long-term audience relationships • Why mission-critical SaaS cannot “move fast and break things” • Where AI fits next: fraud detection, pricing intelligence, and behavioral patterns⸻What You’ll Learn • What the “shadow audience” really is and why it matters • How True Tickets integrates into legacy ticketing systems without replacing them • Why frictionless UX is not always the goal and what “optimal friction” means • How venues can reclaim ownership from secondary markets • Lessons from building SaaS inside conservative, legacy industries • Why consultants and operators can become strong founders⸻Episode Highlights & Timestamps(Approximate, optimized for Spotify & YouTube chapters) • 00:00 – Introduction and Matt’s unconventional journey • 03:45 – The origin of True Tickets and discovering ticketing’s blind spot • 07:30 – Defining the “Shadow Audience” problem • 10:45 – Bots, resale markets, and why legislation alone fails • 14:00 – Real-world example: turning attendees into donors • 17:45 – What True Tickets actually does under the hood • 21:30 – SaaS in legacy industries and mission-critical systems • 26:00 – Balancing security, friction, and user experience • 30:45 – The future of ticketing: data, AI, and personalization • 35:00 – Global expansion and market opportunity • 38:30 – Founder lessons from consulting to scale-up CEO • 43:30 – Final reflections and where to learn more⸻Resources Mentioned • True Tickets Website: https://www.true-tickets.com/ • ROI Calculator and Product Demo (available on True Tickets’ site) • Super Founders by Ali Tamaseb

In this episode of The CTO Show with Mehmet, I’m joined by Ahikam Kaufman, Co-Founder and CEO of Safebooks.ai, a seasoned finance executive turned entrepreneur with deep experience across startups, public companies, and large-scale acquisitions.We explore why finance has lagged behind other functions in digital transformation, how AI is fundamentally reshaping financial governance, and why the modern CFO is becoming a transformation leader, not just a financial steward.This conversation goes beyond buzzwords and dives into real-world problems: broken audit trails, fragmented systems, compliance risk, and how AI agents can finally deliver real-time financial truth.⸻👤 About the GuestAhikam Kaufman is the Co-Founder and CEO of Safebooks.ai.He began his career in accounting, served as a CFO in Silicon Valley startups, experienced multiple acquisitions including by Hewlett-Packard and Intuit, and spent over a decade as an entrepreneur.Today, Ahikam is focused on modernizing the Office of the CFO by applying AI to financial data governance, auditability, and compliance at scale.https://www.linkedin.com/in/ahikam-kaufman-688310/⸻🎯 Key Topics Covered • Why finance was never designed for today’s data complexity • The two biggest blind spots in modern financial organizations • What “audit trail” really means and why it’s so hard to achieve • How AI agents bridge structured system data and unstructured documents • From quote to cash: tracing transactions across fragmented systems • Why compliance failures are often data problems, not intent problems • The evolving role of the CFO in the AI era • Where humans still matter and where machines outperform • Why AI makes regulation easier to meet, not harder • Practical advice for founders building in finance and compliance⸻🧠 Key Takeaways • Finance teams deal with massive data but are not trained as data teams • Fragmented systems create hidden compliance and cash-flow risks • AI can monitor 100% of financial transactions, not just samples • Real-time governance is now technically possible for the first time • CFOs are becoming transformation leaders, not just scorekeepers • The future of finance is continuous, automated, and exception-driven⸻🎓 What You’ll Learn • How AI changes financial accuracy from “material” to near-perfect • Why most financial errors happen even when teams do “everything right” • How AI reduces headcount pressure without removing human oversight • What founders must understand before building in fintech or compliance • How finance can finally get its own “single pane of glass”⸻⏱️ Episode Highlights (Timestamps) • 00:00 – Ahikam’s journey from CFO to AI founder • 05:00 – The two unsolved problems in corporate finance • 09:30 – Why audit trails break across modern systems • 14:00 – What really goes wrong when financial data is wrong • 18:30 – How AI understands contracts and financial documents • 24:00 – Humans vs machines in financial decision-making • 30:00 – The CFO’s evolving role in AI transformation • 36:00 – Regulation, compliance, and AI realities • 43:00 – Advice for founders building in finance⸻🔗 Resources Mentioned • Safebooks.ai • Topics: AI agents, financial audit trails, CFO transformation, data governance

In this episode of The CTO Show with Mehmet, I sit down with Khaled Nazif, COO of DSquares, one of the most influential yet quietly powerful enterprise loyalty platforms in the MENA region.Khaled shares his journey from Stanford and Silicon Valley back to the region, where he helped scale DSquares into a 150M+ end-user platform serving banks, telcos, governments, and large enterprises across 16 countries.We go deep into what loyalty really means today, why most companies still misunderstand it, how culture breaks at scale if you are not intentional, and what founders in emerging markets can learn from Silicon Valley without copying it blindly.This is a conversation about scale, systems, leadership, and long-term thinking.⸻👤 About the GuestKhaled Nazif is the Chief Operating Officer at DSquares, a leading white-labeled loyalty and engagement platform powering some of the largest enterprises and government programs across MENA and Africa.Before returning to the region, Khaled spent nearly a decade in Silicon Valley, earning his MBA from Stanford, founding a B2B SaaS startup, and later working at Zendesk. He brings a rare blend of operator discipline, startup grit, and enterprise execution to scaling regional platforms.https://www.linkedin.com/in/khalednazif/⸻🧠 Key Takeaways • Why loyalty is misunderstood and often wrongly treated as a cost center • How DSquares scaled without VC hype and stayed bootstrapped for 13 years • What it really means to move from a “pirate” startup culture to a “navy” scale-up • Why government loyalty programs are not an oxymoron • The importance of productization when scaling enterprise platforms • How culture breaks after ~150 people and what leaders must do proactively • What MENA founders can learn from Silicon Valley and what they should ignore • Why failure must be normalized for ecosystems to truly mature⸻🎯 What You Will Learn • How to scale enterprise platforms across multiple countries and cultures • How loyalty, data, and behavior change intersect at scale • Why leadership transitions matter more than founder heroics • How to think long-term when building in emerging markets • Why execution discipline beats hype cycles every time⸻⏱ Episode Highlights & Timestamps00:00 – Welcome and introduction02:00 – Khaled’s journey from Stanford to Silicon Valley05:30 – What DSquares really does and why most people don’t know it09:00 – Scaling loyalty across banks, telcos, and governments13:30 – Loyalty vs transactions: what most companies get wrong18:00 – Using data and gamification to influence behavior23:00 – Loyalty as a revenue driver, not a cost center27:30 – Bootstrapping DSquares and resisting VC pressure33:00 – Replacing a founder and scaling leadership responsibly38:30 – The 150-employee culture breaking point45:00 – Pirate vs Navy mindset and operational maturity51:00 – Silicon Valley lessons that actually work in MENA57:00 – Failure, risk-taking, and ecosystem maturity01:03:00 – Advice for founders building in emerging markets01:08:00 – Closing thoughts and where to connect with Khaled⸻🔗 Resources & Mentions • DSquares – Enterprise Loyalty & Engagement Platform : https://dsquares.com/ • Book referenced: Blitzscaling by Reid Hoffman

In this episode of The CTO Show with Mehmet, I’m joined by Alex Schlager, Founder and CEO of AIceberg, a company operating at the intersection of AI, cybersecurity, and explainability.We dive deep into why AI agents fundamentally change enterprise risk, how shadow AI is spreading across organizations, and why monitoring black-box models with other black boxes is a dangerous mistake.Alex explains how explainable machine learning can provide the observability, safety, and security enterprises desperately need as they adopt agentic AI at scale.⸻👤 About the GuestAlex Schlager is the Founder and CEO of AIceberg, a company focused on detection and response for AI-powered workflows, from LLM-based chatbots to complex multi-agent systems.AIceberg’s mission is to secure enterprise AI adoption using fully explainable machine learning models, avoiding black-box-on-black-box monitoring approaches. Alex has deep expertise in AI explainability, agentic systems, and enterprise AI risk management.https://www.linkedin.com/in/alexschlager/⸻🧠 Key Topics We Cover • Why AI agents create a new and expanding attack surface • The rise of shadow AI across business functions • Safety vs security in AI systems and why CISOs must now care about both • How agentic AI amplifies risk through autonomy and tool access • Explainable AI vs LLM-based guardrails • Observability challenges in agent-based workflows • Why traditional cybersecurity tools fall short in the AI era • Governance, risk, and compliance for AI driven systems • The future role of AI agents inside security teams⸻📌 Episode Highlights & Timestamps00:00 – Introduction and welcome01:05 – Alex Schlager’s background and the founding of AIceberg02:20 – Why AI-powered workflows need new security models03:45 – The danger of monitoring black boxes with black boxes05:10 – Shadow AI and the loss of enterprise visibility07:30 – Safety vs security in AI systems09:15 – Real-world AI risks: hallucinations, data leaks, toxic outputs12:40 – Why agentic AI massively expands the attack surface15:05 – Privilege, identity, and agents acting on behalf of users18:00 – How AIceberg provides observability and control21:30 – Securing APIs, tools, and agent execution paths24:10 – Data leakage, DLP, and public LLM usage27:20 – Governance challenges for CISOs and enterprises30:15 – AI adoption vs security trade-offs inside organizations33:40 – Why observability is the first step to AI security36:10 – The future of AI agents in cybersecurity teams40:30 – Final thoughts and where to learn more⸻🎯 What You’ll Learn • How AI agents differ from traditional software from a security perspective • Why explainability is becoming critical for AI governance • How enterprises can regain visibility over AI usage • What CISOs should prioritize as agentic AI adoption accelerates • Where AI security is heading in 2026 and beyond⸻🔗 Resources Mentioned • AIceberg: https://aiceberg.ai • AIceberg Podcast – How Hard Can It Be? https://howhardcanitbe.ai/

Raising capital looks easy from the outside. In reality, it is one of the most misunderstood parts of building a startup.In this episode, Mehmet sits down with Daniel Nikic, a global investment researcher who has analyzed over 15,000 companies across the US, Europe, and the Middle East. Together, they unpack the hard truths founders need to understand about fundraising, investor psychology, market geography, and why most rounds fail long before the first term sheet.This is a grounded, no-hype conversation about what actually drives investment decisions in 2025 and why “easy money” is often the biggest illusion founders believe.⸻About the GuestDaniel Nikic is the founder of Coherent Research and a global investment research professional with deep experience across North America, Europe, and emerging markets. Originally from Canada and now based in Croatia, Daniel has worked with investors, family offices, and founders worldwide, helping evaluate companies across stages, industries, and geographies.His work focuses on due diligence, market opportunity analysis, and understanding the human and cultural factors behind investment decisions.⸻Key Topics Discussed • Why most fundraising fails before it even starts • The biggest misconceptions founders have about “easy capital” • How geography actually impacts investment decisions • Why the Middle East is not fast money despite capital availability • Founder psychology, stress, and emotional control as investment signals • What investors look for beyond pitch decks and valuations • The difference between angels, VCs, family offices, and accelerators • Why urgency and FOMO often kill deals instead of closing them • How AI is changing investment behavior and decision-making • Realistic timelines for closing funding rounds in emerging markets⸻Key Takeaways • Capital is not free money. Investors expect returns, discipline, and execution. • Geography still matters, but trust and relevance matter more. • Founders who rush fundraising often lose credibility. • Investors back people they trust, not just ideas or decks. • Being organized and prepared beats hype every time. • Fundraising is a relationship-building process, not a transaction.⸻What You Will Learn • How to target the right investors at the right stage • Why mixing angels, VCs, and family offices too early backfires • How investors think about risk, timing, and founder maturity • What “smart money” really means beyond capital • How long fundraising realistically takes and why patience matters⸻Episode Highlights & Timestamps(You can fine-tune timestamps once audio is finalized) • 00:00 – Introduction and Daniel’s global background • 04:00 – Patterns from analyzing 15,000+ companies • 07:30 – Geography vs psychology in startup success • 10:45 – The Middle East investment misconception • 15:20 – Why capital follows trust, not hype • 18:30 – Choosing the right investor type early on • 22:40 – Check sizes, valuations, and regional differences • 27:00 – AI, FOMO, and modern investment behavior • 32:00 – Why urgency kills fundraising deals • 36:30 – Realistic timelines to close a round • 41:00 – Final advice for founders raising capital⸻Resources & Links • Daniel Nikic on LinkedIn: https://www.linkedin.com/in/daniel-nikic/ • Website: https://www.danielnikic.com/

In this episode, Gabriel Jarrosson, founder and managing partner at Lobster Capital, breaks down what truly drives breakout startups inside the world’s most competitive ecosystem.Before becoming a YC-focused investor, Gabriel built seven startups, failed four, and bootstrapped one to one million ARR alone — no co-founder, no employees, no AI.Today he invests exclusively in YC companies and shares how he evaluates founders, why early traction beats everything, how YC creates unstoppable momentum, and how AI is reshaping the next generation of builders.⸻About Gabriel JarrossonGabriel Jarrosson is a serial founder turned YC-specialized investor and managing partner at Lobster Capital. He has built seven companies, exited three, and invested in more than 100 YC startups. Gabriel also hosts The Lobster Talks and has grown a fast-rising media presence supporting early-stage founders.https://www.linkedin.com/in/gabrieljarrosson/⸻Key Takeaways • Why solo founders can still win big when they embrace urgency, automation, and creative resourcefulness • The mindset required to scale without waiting for funding or a co-founder • YC founder patterns: technical teams, relentless execution, and high velocity • Why YC attracts the world’s strongest builders and why it’s nearly impossible to replicate • Gabriel’s 2 percent rule for selecting the best companies in every YC batch • Why early revenue and market pull matter more than ideas and hype • How AI is changing the definition of what a “lean team” can achieve⸻What You Will Learn • How top investors evaluate teams, traction, and momentum • How YC creates an environment that rewires founders to move faster • Why some geographies struggle to reproduce Silicon Valley outcomes • How to think about automation, support systems, and scaling with AI • How founders outside the US can become YC-ready • What Gabriel regrets missing as an angel investor — and what he learned from it⸻Episode Highlights & Timestamps00:00 — Introduction01:30 — Seven startups, three exits, four failures03:00 — Bootstrapping to 1M ARR as a solo founder07:00 — The role of AI in scaling today10:00 — Why YC is a category of its own14:30 — What YC founders have in common18:00 — Why “local incubators” fail to replicate YC21:00 — How Gabriel selects winners27:00 — Getting into competitive YC deals33:00 — The media edge in venture37:00 — Becoming YC-ready as a non-US founder46:00 — Gabriel’s biggest miss50:00 — Closing thoughts⸻Resources Mentioned • Lobster Capital: https://www.lobstercap.com/ • The Lobster Talks podcast: https://www.youtube.com/@lobster-talks

In this episode, Kingsley Maunder breaks down one of the most overlooked aspects of startup building: proper validation. With over two decades in the startup ecosystem, building products used by Disney, EA Sports, Snap, and more, Kingsley shares the hard-won lessons behind his framework, The SALT Test.We explore how founders can turn raw ideas into validated products, avoid the assumption trap, distinguish noise from real traction, and leverage AI to accelerate product discovery. This conversation is a masterclass in thinking clearly, testing quickly, and building what people actually want.⸻About the Guest — Kingsley MaunderKingsley is a veteran product builder, former startup operator, and the author of The SALT Test: How to Take an Innovative Product from Idea to Scale. Over the past 20 years, he has built and scaled products for some of the world’s biggest brands, taken two startups to exit, and helped another raise over $180M. Today, he teaches founders how to validate ideas, avoid costly assumptions, and build products that truly solve user problems.⸻Key Takeaways • Why assumptions are the biggest hidden risk in early-stage innovation • The story behind the SALT Test and how Thomas Edison inspired it • How to validate ideas in the right order • The difference between noise traction and real traction • Why customer discovery often leads founders astray • How AI can compress weeks of product validation into hours • Why you must test the problem before you test the solution • When to pivot lightly vs when to pivot hard • The importance of building something significantly better, not just slightly better • How to distinguish between the user and the buyer in B2B products⸻What You Will Learn • A practical, repeatable process for validating any product idea • How to talk to customers without falling into the polite feedback trap • How to stress-test your assumptions before writing a single line of code • How to set success and failure metrics before experimentation • How to avoid “innovator bias” and ego-driven decision making • How to use AI tools to accelerate discovery, research, and early validation • How to map your idea through the Growth Map to find blind spots⸻Episode Highlights 00:00 — Introduction02:00 — Why the SALT Test?04:00 — The Assumption Trap06:00 — How to Stress-Test an Idea08:00 — Noise Traction vs Real Traction10:00 — The Right and Wrong Way to Do Customer Discovery13:00 — Competing with Excel, WhatsApp, and the real world15:00 — Behavior Change and “Significantly Better”18:00 — Solution Selling for Founders22:00 — How AI Compresses Validation Cycles25:00 — B2B vs B2C Validation27:00 — Pivoting: Light vs Hard33:00 — Ego, fear, and founder psychology36:00 — Lessons from Amazon and Successful Innovators40:00 — Where Builders Should Focus Next42:00 — Final Advice⸻Resources Mentioned • The SALT Test by Kingsley Maunder: https://www.kingsleymaunder.com/the-salt-test • GrowthMap.org • Kingsley’s LinkedIn profile: https://www.linkedin.com/in/kingsleymaunder/

In this conversation, Colin opens the curtain on how Sheets & Giggles became a breakout DTC success by doing things differently: selling before building, leaning into humor, making bold brand decisions, and prioritizing community and impact over hype.This episode is packed with practical lessons for founders navigating uncertainty, fundraising, pricing strategy, brand identity, and the deeper personal journey behind entrepreneurship.About the GuestColin McIntosh is the founder of Sheets & Giggles, one of the most beloved modern consumer brands known for its sustainable eucalyptus bedding and its unmistakably humorous voice. Colin bootstrapped the company from a simple idea into a high-growth startup that hit one million dollars in monthly revenue within two years. His journey blends sharp execution, authentic branding, creative fundraising, and a grounded philosophy about building companies with purpose.Colin has appeared on Good Morning America and multiple national outlets, has built a loyal customer community, and is now also a mentor at Techstars, where his 2019 pitch is used globally as an example for new founders.Connect with Colin: https://www.linkedin.com/in/colindmcintosh/⸻In This Episode You’ll Learn1. How Sheets & Giggles Started Without InventoryColin reveals why he chose to validate demand first through pre-orders, and how a successful Indiegogo campaign became early seed capital and proof of market need.2. The Inflection Points That Unlocked Serious ScaleFrom a bold COVID donation that unexpectedly reached the governor’s office to a national Good Morning America feature and a high-impact podcast sponsorship, Colin breaks down the moments that changed the company’s trajectory.3. Humor as a Business StrategyWhy Colin embraced the “jester” brand archetype and how authenticity, relatability, and personality helped Sheets & Giggles stand out in a boring category.4. Pricing Psychology Explained SimplyMost founders underprice — Colin explains why, and how he tested price elasticity, optimized margins, and used real data to guide pricing decisions.5. How to Talk to Investors the Right WayColin breaks down investor psychology, why FOMO matters, why you must know your numbers by heart, and how honesty builds long-term trust.6. Bootstrapping vs. VC in Today’s MarketAn honest look at why this era might be the best time to build slowly, stay disciplined, and focus on profitability instead of chasing rounds.7. Purpose, Happiness, and the Reality of Being a FounderColin dives deep into fulfillment, ego, expectations, and why internal peace matters far more than revenue milestones.8. Techstars and a Full Circle MomentFrom joining Techstars Boulder as an early team member to returning years later as a founder, and later as a mentor and pitch coach — Colin shares what the program taught him and why founders should consider it.⸻Chapters00:00 Intro01:00 Colin’s journey and background03:00 Starting Sheets & Giggles through pre-orders06:00 Early traction and unexpected breakthroughs10:00 The donation that changed everything12:00 Building a humorous and authentic brand identity16:00 Pricing psychology and finding your true value20:00 Fundraising and managing investor expectations27:00 The truth about growth and scale33:00 Bootstrapping vs raising capital40:00 Purpose, fulfillment, and founder mindset46:00 Techstars experience and mentorship52:00 Final reflectionsWhy This Episode MattersIf you’re building a startup today, this conversation will give you both tactical clarity and emotional grounding. Colin brings a rare mix of sharp execution and thoughtful humility. From pre-selling products to scaling with humor, from raising millions to staying true to purpose, his journey offers a realistic playbook for building something meaningful.

Mark Donnigan has spent decades helping deep tech and video technology startups translate complex products into commercial traction. In this conversation, we cover why early stage companies must stay lean, how to diagnose GTM confusion, and what AI first marketing looks like in practice.We also dig into the new buyer journey in B2B, why content is a serious competitive advantage, and why founder led marketing is becoming non negotiable for technical startups.⸻👤 About Mark DonniganMark Donnigan is a virtual CMO who specializes in helping early stage technology companies design and execute GTM systems for scale. He blends a technical background with marketing strategy, and has worked closely with deep tech, infrastructure, and video technology companies across the US and beyond. Mark also hosts his own podcast where he covers the intersection of engineering, GTM, and startup growth.⸻💡 Key Takeaways • Small teams outperform large teams because they adapt faster and avoid siloed decision making • Most early marketing hires fail because they come from companies with fully established ICPs and playbooks • The new B2B buyer journey is committee based and nonlinear • Founders must articulate pain, value, and narrative before marketing can be effective • AI tools create leverage but still require human curation • Content is not optional; it is a revenue accelerant • The best marketing starts with mapping actual buying behavior, not assumptions • Technical founders can outperform junior marketers with AI workflows⸻🎓 What You Will Learn • How to avoid the early stage marketing trap • Why small GTM teams win in dynamic markets • How to map buying journeys in modern B2B • How to use AI to generate content, frameworks, and GTM assets • The difference between buyers, influencers, and blockers • How to build trust and shorten sales cycles through content • Why founder storytelling is more important than ever⸻⏱️ Episode Highlights and Timestamps00:00 Welcome and intro02:00 Mark’s background as both technologist and creative06:00 Why great technology fails without great marketing07:30 The trap of hiring big company marketers too early10:45 Why small teams win in early GTM14:00 The missing skill in most marketing hires17:00 How to know if the market actually needs your product20:00 Understanding the real buyer versus the visible buyer23:00 Buying committees, decision blockers, and internal politics27:00 Why founders misread senior titles in enterprise sales30:00 Mapping the buyer journey with precision32:00 The underrated power of content and use case clarity36:00 Where founders should start if they have no content38:00 The role of documentation in technical sales40:00 What AI first marketing looks like in action43:00 Founders using PRDs to generate full GTM assets47:00 What should always stay human in AI powered marketing51:00 Human tone, emotions, and authenticity versus perfect AI output55:00 Why social algorithms reward provocation, not perfection58:00 Features vs benefits in modern marketing01:02:00 Final insights and where to follow Mark⸻🔗 Resources Mentioned • Mark Donnigan website: https://GrowthStage.Marketing • Mark Donnigan on LinkedIn: https://www.linkedin.com/in/markdonnigan/ • Tools referenced: Gemini, ChatGPT 5.1, Claude, Perplexity Pro

In this conversation, Mehmet is joined by Gerald Beuchelt and Subu Rao, two cybersecurity leaders from Acronis, to unpack the evolving threat landscape, the rise of AI in both offense and defense, and why cyber resilience has become a board-level priority.They break down what CISOs need to know, how MSPs can create new value, and what frameworks actually work in the real world. If you want a clear and practical blueprint for building resilience, this episode is for you.👤 About the GuestsGerald BeucheltChief Information Security Officer at Acronis, with more than 14 years of experience securing global environments across multiple industries. Gerald leads cybersecurity, IT infrastructure, and corporate security strategy, with deep knowledge in AI-driven defense, risk management, and enterprise resilience.https://www.linkedin.com/in/beuchelt/Subu RaoSenior Manager of Cybersecurity Solutions Strategy at Acronis, focused on cyber resilience for MSPs and mid-market organizations. Subu brings over 15 years of experience in identity security, cloud security, and resilience engineering across global security vendors.https://www.linkedin.com/in/raos/https://www.acronis.com/en/💡 Key Takeaways • Cyber resilience and cybersecurity are not the same. One focuses on protection, the other on recovery and adaptation. • AI is already used by attackers and defenders. Ignoring it increases risk. • MSPs have a major opportunity to monetize resilience, not just protection. • Most breaches still start with basic failures like weak passwords and unpatched systems. • Boards do not want CVE numbers. They want business risk in plain language. • The right balance between risk appetite and risk tolerance shapes the entire security program. • Backups alone are not enough. Tested, measurable recovery plans are essential. • Availability is often the forgotten piece of the CIA triad.⸻🎧 What Listeners Will Learn • The current global threat landscape • How AI is changing cyber offense and defense • The difference between cybersecurity and cyber resilience • What MSPs should do today to serve customers better • How CISOs can communicate risk to non-technical boards • Practical frameworks for resilience and business continuity • Why regional exposure influences risk strategy • The most common mistakes companies still make in 2025⸻⏱️ Episode Highlights & Timestamps00:00 Introduction and welcome01:00 Meet Gerald and Subu04:00 The real state of cyber threats today05:30 Why basic hygiene failures still cause most breaches08:30 How attackers are using AI10:00 The future of automated SOCs12:00 Are threat patterns different by geography15:00 Why every company is a target16:00 Cybersecurity vs cyber resilience explained in simple terms18:00 How to build resilience without enterprise budgets21:00 MSPs and the opportunity to lead resilience consulting24:30 Understanding crown jewels and business impact26:00 How Acronis-style failover models change the game29:00 Where boards should start with security frameworks32:00 Risk appetite vs risk tolerance36:00 Why security cannot decide in isolation40:00 Compliance, mandates, and real world frameworks45:00 How MSPs can craft resilience offerings48:00 Final advice for CISOs and MSPs51:00 Closing thoughts and wrap up