The Digital Dilemma

Nick Dreyfus
  • 5.0 (3)
  • Business News
  • Updated Weekly

Technology decisions are business decisions. And right now, most business owners are making them blind, fed hype and spin from Silicon Valley instead of the straight answers they actually need. The Digital Dilemma exists to give executives and business owners the technology perspective they are not getting anywhere else. No filler. No fluff. No vendor propaganda. No Silicon Valley bias. Host Nick Dreyfus delivers the unfiltered truth about the technology risks, decisions, and opportunities that directly affect your bottom line. AI adoption. Most companies are rolling out AI tools with no policy, no training, no governance, and no idea what data their employees are pasting into public platforms. We break down what is actually happening, what it means for your business, and how to get ahead of it before it becomes a liability. Cybersecurity. The threats are evolving faster than most businesses can keep up. We cover the real risks targeting companies with 30 to 150 employees, the ones that do not have a Fortune 500 security budget but still have Fortune 500 exposure. Vendor strategy. Not every tool your MSP sells you is the best option. Not every platform with a big name behind it is worth the price tag. And not every free or open source solution is actually free when you factor in the security nightmares that come with publicly exploitable source code. We help you understand what enterprise-grade actually means and why it matters. Data protection and compliance. From shadow AI to overshared file permissions to third-party vendors uploading your client data into tools you have never heard of, we cover the gaps most businesses do not know they have until something goes wrong. Every episode is built for the business leader who needs to understand technology without wading through the noise, the agenda, and the marketing dressed up as advice. Whether it is a solo deep dive or a conversation with the people behind the platforms that protect and power modern businesses, every episode comes back to the same question: does this help you make a faster, smarter decision before your competition makes it first? This is the podcast where leaders come to get ahead of the technology curve, not react to it. New episodes weekly. About your host. Nick Dreyfus is a fully certified systems administrator with over 15 years of hands-on experience across enterprise and SMB environments. Before moving into managed services and cybersecurity, Nick worked as a software engineer on projects for Ford, General Motors, and Coca-Cola, built and managed web platforms across both enterprise and small business markets, and served as a digital marketing specialist where he grew Carl Burger's digital presence over 300 percent in 26 months. He has personally architected SMB and enterprise networks for thousands of organizations nationwide, designing infrastructure built for security, reliability, and scale. Nick is currently Vice President of Business Development at i-NETT, a managed services and cybersecurity provider based out of Southern California and servicing organizations across the United States and Canada. Connect with Nick on LinkedIn: https://www.linkedin.com/in/nicholas-dreyfus/

  1. Aug 30

    E45 - You Have An AI Policy. Your Vendors Have A Free Account.

    You Have An AI Policy. Your Vendors Have A Free Account. An executive questioned one number in one ad. The marketing agency's answer stopped him cold: we got the numbers from you. Inside a shared marketing folder sat an accounting spreadsheet someone had dropped there by accident, and for two months the agency's AI had been reading the whole folder and building campaigns from it. The AI saw their real costs and priced an entire product suite at roughly a ten percent markup instead of their normal margin. One ad ran. Nobody lied. Nobody was hacked. Somebody dragged a folder, and an AI nobody approved made pricing decisions in public. Host Nick Dreyfus, VP of Business Development at i-NETT, argues that if your own house is in decent shape, your biggest AI risk is not your team. It is the vendors you trust most. You give your bookkeeper one hundred percent of your data. Your accountant, your marketing agency, your billing company, all of them are holding everything, and most businesses have never asked one question about what those vendors do with it in the age of AI. In this episode: the clean kitchen problem, why a spotless AI policy tells you nothing about your supply chain. The two question email to send every vendor Monday morning, free. The move almost nobody makes: putting vendor AI work inside your environment, behind your own security, and offsetting the license against their bill. Why we've got Copilot, we're totally good is not the finish line when twenty years of file permissions say otherwise. And the money nobody discusses: in client environments we have audited, do it yourself AI agents commonly cost three to five thousand dollars a month to run, usually because they are doing way too much thinking on a model that is too expensive for the task. Built right, the same agent often runs at a fraction of that. Questions answered: Which of my vendors are running my data through AI right now? What am I allowed to ask them? What does a real AI policy cover? Why do most AI projects show no return? What should an agent actually cost to run, and who is watching it after it ships? Start here, and it costs nothing. Send every vendor who touches your data two questions: are you using AI on any of our data, and if so, what guardrails and security do you have around it? Everything in this episode was preventable. All they did was not ask a couple of questions. Nick is not an attorney and this is not legal advice. Vendor obligations depend on your contracts, so bring them to your counsel. AI readiness: https://i-nett.ai | Managed services: https://i-nett.com | Technology Fund: https://nonprofit.i-nett.com | Book time: https://meetings-na2.hubspot.com/ndreyfus | NickD@i-nett.com | (858) 337-2866 Tags: AI policy, shadow AI, vendor risk, AI agents, token costs, Copilot, AI readiness, managed IT, MSP, cybersecurity, CEO, CFO, small business, San Diego, The Digital Dilemma, Nick Dreyfus, i-NETT

  2. Aug 23

    E44 - The Guy You Fired Still Has The Keys

    The Guy You Fired Still Has The Keys He was not fired. He resigned on good terms, and there was a party. That is worse, because when somebody leaves happy, nobody is watching. His login stayed active, since disabling it was a five minute job on a list of four hundred things. That account still had access to the company bank account, and the password on it was sitting in a public credential dump. Nobody was hacked. Somebody just did not do the job. Host Nick Dreyfus, VP of Business Development at i-NETT, argues that nobody attacks your best system. They attack your cheapest one. And your cheapest one got there one of two ways: a job that never got done, or a budget set by someone who was never given the full picture. Confuse those two and you make the wrong call every time. In this episode: why your IT director spends the day resetting passwords, and what falls off the list when they do. Which layer of support is worth a senior salary and which two are not. Why the person who knows how bad it is has every reason not to tell you. The technology leader who did not know what business continuity meant, and the one to two week recovery nobody upstairs knew about. How attackers reached one of America's largest retailers through an air conditioning contractor running free consumer antivirus. What happens inside an IT company when margins get squeezed, and which tool quietly gets swapped. And a company that paid zero ransom and still lost two months, hundreds of thousands of documents, and a quarter of its revenue. Questions answered: How do I know if my IT team is telling me everything? What should I ask before approving another technology budget? Are we running anything that stops getting security updates this year? What happens when someone leaves, and who verifies it? If we were encrypted tonight, how many days until we operate again? Start here, and it costs nothing. Tell whoever runs your technology that nothing they report will be held against them, and mean it. Ask what happens when somebody leaves, then compare enabled accounts against headcount. Then ask your leadership which three customers would leave if you went dark for six weeks, and what those three are worth as a share of profit. That number is your real security budget. The full list of fifteen questions, plus every source cited, is at thedigitaldilemma.riverside.com Nick is not an attorney and this is not legal advice. Breach disclosure duties vary by state and industry. Insurance policies differ, so read yours and get your broker's answer in writing. AI readiness: https://i-nett.ai | Managed services: https://i-nett.com | Technology Fund: https://nonprofit.i-nett.com | Book time: https://meetings-na2.hubspot.com/ndreyfus | NickD@i-nett.com | (858) 337-2866 00:00 He was not fired, and that is worse 03:45 Why the five minute job never gets done 08:00 The word that scared me 09:15 The air conditioning guy 13:30 Why the cheap thing exists 16:30 What happens when margins get thin 19:00 Two months down, zero ransom paid 24:30 The seven questions 30:30 The ones with the least 32:00 What to do Monday Tags: cybersecurity, offboarding, business continuity, ransomware, Server 2012 end of life, cyber insurance, managed IT, MSP, CEO, CFO, small business, San Diego, The Digital Dilemma, Nick Dreyfus, i-NETT

  3. Aug 15

    E43 - Your Bookkeeper Is Using AI On Your Books. Did You Approve It?

    Your Marketing Agency Is Running Your Client List Through AI The meeting ended. The guests dropped off. The team kept talking about costs and relationships. The AI note taker was still in the room, and it emailed the transcript to everyone on that call. Nobody was hacked. Nobody broke a policy, because there was not one. And there was no undo. Host Nick Dreyfus, VP of Business Development at i-NETT, argues your company already has an AI program. You did not approve it, you did not budget for it, and you cannot see it. Half of it is your team. The bigger half is everyone outside your building who already has your data. In this episode: The one document almost no company has, and why "everybody knows the rule" falls apart when it mattersWhy shadow AI is a procurement failure, not a discipline problemTwo risks everyone mashes together: a vendor reusing your work, and your data landing where you cannot see itThe free version is free because you are the paymentWhy an AI tool wired into your CRM is an authorized skeleton keyThe four questions to ask any vendor touching your data, and what to do when they get vagueWhy Uber burned its 2026 AI budget in four months with nobody misusing anythingWhy we are at 1998, and why committing to one model now is a bet you do not have to make This episode answers: Which of my vendors is running AI on my company's information?Do I need employees to sign something naming approved AI tools?Can a vendor reuse the work they did for me and sell it to my competitor?How does a small company push back on a much larger vendor?Who should pay when a vendor wants to use AI on my account? Start here, and it costs nothing. List every outside party that touches your information. Send one email asking whether they use AI on your account, which tools, what tier, and whether your material trains anything. Ask for it in writing. The answers, including the vague ones, tell you where you stand. Nick is not an attorney and this is not legal advice. Have your counsel review any policy or vendor document before anyone signs it. AI readiness assessment: https://i-nett.ai Managed services and cybersecurity: https://i-nett.com Community Technology Fund: https://nonprofit.i-nett.com Book a time with Nick: https://meetings-na2.hubspot.com/ndreyfus NickD@i-nett.com | (858) 337-2866 Chapters: 00:00 The note taker that stayed in the room 01:40 We deploy AI for a living 03:20 The paperwork almost nobody has 08:30 The part nobody talks about 09:40 Your work walking out the door 12:00 You are the payment 14:30 The skeleton key in your CRM 16:30 The four questions to ask every vendor 20:30 Uber burned a year of budget in four months 22:30 What to do this week for nothing 25:00 The decision that had to happen first Tags: shadow AI, third party risk, vendor management, AI governance, AI usage policy, data privacy, cybersecurity, managed IT services, MSP, small business, San Diego, intellectual property, data leakage, vendor agreements, The Digital Dilemma, Nick Dreyfus, i-NETT

  4. Aug 8

    E42 - AI Is Not Coming For Your Team. It Is Coming For The Worst Two Hours Of Their Day.

    One in eight things it tells you is made up, and it says every one of them with the same confidence. You would fire that employee. So why did you hand it your invoicing? AI is not coming for your team. It is coming for the worst two hours of their day. But it is not an employee, and treating it like one is how companies end up with a pile of spend and nothing on the P&L. Host Nick Dreyfus, VP of Business Development at i-NETT, argues the replacement narrative is wrong and the real risk is the opposite one. Not that AI takes the job, but that nobody is checking its work. In this episode: The one in eight test: apply your hiring standard to a system that is confidently wrong, and your deployment plan writes itselfThe invoice that hit ten thousand percent: what a 5% price increase becomes with no guardrails, and why your client catches it before you doWhy MIT found roughly 95% of AI deployments show no return, and why it is not the technology's faultWhat an agentic engineer does all day, for a CEO with no interest in becoming technicalThe rule that changes everything: do not let AI think, let it chooseWhy five hours saved in accounting is worth almost nothing, and five hours saved in sales takes a 90 day close to 45This episode answers: Is AI going to replace my employees?Why do most AI projects fail to produce any ROI?What is an AI agent, and who should be building ours?Do we hire AI engineers or bring in a partner?What AI is already running in my company that I do not know about?You have three choices and one is not real. Do nothing, which is not neutral, because your team is already using AI on personal accounts. Build your own agentic engineering team. Or bring in a partner who has one. Start here. Ask your team what AI they use and what they put into it. Then ask who would catch it if it got something wrong. If nobody has an answer, you found your starting point. Free AI usage policy template you can hand your team Monday: https://i-nett.ai/ai-usage-policy A starting point, not legal advice. Have your attorney review it. Book a time with Nick: https://meetings-na2.hubspot.com/ndreyfus Our position on AI: https://i-nett.ai Managed services and cybersecurity: https://i-nett.com Community Technology Fund: https://nonprofit.i-nett.com LinkedIn: https://www.linkedin.com/in/nicholas-dreyfus/ NickD@i-nett.com | (858) 337-2866 Chapters: 00:00 The employee who makes things up one in eight times 03:00 Why confidence is the danger, not error 08:00 The invoice that hit ten thousand percent 13:00 Why 95% of AI deployments fail 18:00 What an agentic engineer actually does 23:00 Not all saved hours are worth the same 28:00 Your three choices, and one is not real Your team focuses on growth. Our team makes that happen. New episodes weekly. Educational only. Not legal or financial advice. Statistics cited are third party research and results vary. #AI #AIAgents #ArtificialIntelligence #SmallBusiness #CEO #BusinessStrategy #ManagedServices #MSP #AIStrategy #DigitalDilemma

  5. Aug 2

    E41: Stop Calling It ROI Unless It Hits the P&L

    98% of executives say their AI investment is paying off. MIT found that 95% of AI pilots cannot prove any return at all. Both numbers are real. Today we show you where the money actually goes. Tesla sells a feature called Full Self-Driving Capability. On their own website, in the same paragraph, they tell you "the currently enabled features do not make the vehicle autonomous." Nobody lied. The name just did the work. "Artificial intelligence" is doing the exact same thing to your budget. Host Nick Dreyfus breaks down why most companies cannot answer the one question that matters: did the AI you bought ever hit your P&L? No hype, no vendor spin, no Silicon Valley bias. In this episode: Why AI is not artificially intelligent, it is a prediction engine, and why that distinction explains every hallucination and every failed pilotWhy "we saved 10 hours a week" is not a financial result, and the exact math a CFO should run before believing itWhy not all saved hours are worth the same: free up accounting and you get accounting, free up sales and you get pipelineThe one sentence to put in your approval document before you spend a dollar on any AI projectThe two questions to ask any AI vendor before you sign anythingA free exercise you can run with your team Monday morning that costs nothing and tells you more than any vendor demo This episode answers: Is AI actually artificial intelligence, or something else entirely?Why do 95% of AI pilots fail to show measurable ROI?When should a business kill an AI project instead of doubling down?What belongs on a CFO's dashboard for AI spend? The line to remember: you cannot have AI thinking, you can have AI flagging. The humans do the thinking. The machine handles what is repetitious and flags what is out of the ordinary. Companies that respect that line are the ones whose numbers eventually show up. Book a time with Nick: https://meetings-na2.hubspot.com/ndreyfus Learn more: Managed services and cybersecurity: https://i-nett.comOur position on AI: https://i-nett.aiCommunity Technology Fund: https://nonprofit.i-nett.com Connect with Nick Dreyfus: LinkedIn: https://www.linkedin.com/in/nicholas-dreyfus/NickD@i-nett.com | (858) 337-2866 Chapters: 00:00 Two numbers that cannot both be true 02:30 What AI actually is, and is not 07:00 Why saved hours are not a return 13:00 Where to point AI first 18:30 When to kill an AI project 22:30 Two questions before you sign 25:30 The Monday morning test Your team focuses on growth. Our team makes that happen. New episodes weekly. Educational only. Not financial or investment advice. Results vary by environment. #AI #ROI #CFO #SmallBusiness #ArtificialIntelligence #ManagedServices #MSP #BusinessStrategy #DigitalDilemma #AIStrategy

  6. Jul 28

    E40 - OpenAI’s Models Hacked Hugging Face. How Many Businesses Are Next?

    An advanced OpenAI model was placed inside a restricted cybersecurity test. It found a way out, reached the internet, and compromised Hugging Face infrastructure while pursuing answers to the test. It was not told to attack Hugging Face. It was told to complete an objective. That distinction should get the attention of every CEO and CFO. In Episode 40 of The Digital Dilemma, Nick Dreyfus explains why this incident is not a science-fiction story about an evil machine. It is a business warning about speed, persistence, access, and what happens when a powerful system pursues a goal without enough boundaries. The next generation of cyberattacks will not need to get everything right on the first attempt. AI can test one path, fail, change its approach, and try again. One firewall, one antivirus product, or one green backup checkbox is no longer a business-continuity strategy. Nick connects the OpenAI and Hugging Face incident to the 2010 Flash Crash and Knight Capital's $460 million automated trading failure. He also shares firsthand stories from the field: • A respected IT provider reported successful backups, but the latest recoverable copy was more than six months old. • A manufacturer automated a process, shipped approximately 100,000 affected products, stopped taking new orders, and spent nearly seven months recovering. • Mid-sized companies believed enterprise equipment made them secure while unsupported servers and excessive permissions left openings attackers could exploit. This episode is built for leaders running companies where payroll, production, billing, accounting, sales, and customer relationships all depend on technology. CHAPTERS 00:00 It was a matter of time 01:35 What OpenAI says happened 04:30 Why the model's objective matters 06:20 The Flash Crash and Knight Capital lesson 08:45 What i-NETT finds after an attack 11:05 A green backup checkbox is not recovery 14:10 How one automated mistake reached 100,000 products 16:45 Why security is the last place to buy the cheapest checkbox 19:10 Why a good MSP may still be unprepared for AI 21:15 The new AI responsibility inside every business 22:45 Why cyber insurance is not the strategy 24:20 Three questions every CEO and CFO should ask this week 26:20 The leadership decision that cannot wait THE THREE QUESTIONS 1. What are we protecting, and where are our unsupported systems or excessive permissions? 2. Can you prove that our recovery works, and how long would it actually take? 3. What authority are we giving AI, what data can it access, and who is watching it? Policy without testing is hope. Security without monitoring is hope. Backups without recovery are hope. Hope is not a business-continuity plan. Learn how i-NETT approaches responsible AI adoption: https://i-nett.ai Explore strategic managed IT, cybersecurity, and business continuity: https://i-nett.com Connect with Nick Dreyfus on LinkedIn for practical conversations about AI, cybersecurity, managed services, and the decisions facing business leaders right now. Follow The Digital Dilemma on Apple Podcasts, Spotify, or wherever you listen to podcasts. If this episode makes you think differently, share it with a CEO or CFO who needs to hear it.

  7. Jul 20

    E39 - 95% of AI Projects Fail. Here's the Part Nobody Told You.

    95% of company AI projects showed zero return. Not small. Zero. No measurable impact on the bottom line. That number comes straight out of MIT this past year, and the moment it hit, every headline reached for the same lazy conclusion: AI is overhyped, the technology is not ready, it is all smoke. It is not. You were sold a lie, and it did not come from the technology. It came from the people selling it. Every AI and LLM company has everything to gain by telling you their tool can do things it flat out cannot, because the bigger the promise, the bigger the check you write. And the biggest promise of all is the one you have heard a hundred times: it can replace your people. In this episode of The Digital Dilemma, Nick Dreyfus breaks down what the MIT NANDA report (The GenAI Divide: State of AI in Business 2025) actually found, why 95% of enterprise generative AI pilots deliver no measurable impact on the P&L, and what the 5% who are winning understand that everyone else missed. If you are a CEO, CFO, business owner, or executive trying to separate real AI ROI from hype, this one is for you. What you will learn: The real reason most enterprise AI projects fail, and why it starts with a message your team hears as "go train your replacement"How fear drives your best people to bury the exact workflows that hold the most valueWhat AI is genuinely good at inside a business (flag it and stop) and where it becomes a liability (the moment you ask it to think or make the decision for you)The invoice example that makes the line between a task and a judgment call obviousWhy generic, off-the-shelf AI tools stall, and why AI built with an outside partner succeeded twice as often as in-house buildsThe energy and water problem behind AI data centers, and why the answer is to advance the technology, not stop itA practical five-step plan to keep your company out of the 95% Chapters: 00:01 The 95% number and the lie you were sold 02:20 What the MIT NANDA report actually says 04:45 The fear that makes your team hide the real wins 07:08 How the winners flip the message 09:30 The data center energy and water problem, and diamond cooling 11:54 The one thing AI is actually good at 14:22 Why generic tools fail and partners win twice as often 16:52 The model that works: pair the person with an AI assistant 19:14 Your five-step plan to stay out of the 95% 21:40 The honest version nobody is selling you Questions this episode answers: Why do most AI projects fail? Is AI overhyped? What is the MIT 95% AI study? How do businesses get real ROI from AI? Build AI in-house or with a partner? Can AI replace employees? The takeaway is simple. AI is not magic, and it is not the enemy. It is a narrow tool with very specific jobs. Stop asking it to think. Start asking it to flag, and keep your best people pointed at the work that actually moves the business forward. If you want to walk through where that line sits in your business, what is safe to automate and what absolutely needs a human, that is a conversation we have every single week. Bring your two or three worst tasks and let us help you find those hours back. Book time with our team: calendly.com/nickdre/30min Nick Dreyfus Vice President of Business Development, i-NETT Your team focuses on growth, our team makes that happen. Subscribe for more on AI, cybersecurity, and technology strategy for business leaders. #AI #ArtificialIntelligence #AIforBusiness #MIT #GenerativeAI #Cybersecurity #ManagedIT #AIStrategy #TheDigitalDilemma #iNETT #AIROI

  8. Jul 3

    S3 E15 - Targeted Just Like the Fortune 500: Same attacks. A fraction of the budget.

    An AI agent is probably attacking your business right now. Not a person, a program, hitting you and 10,000 companies like you at once, millions of times a day, hunting for the easiest way in. The same attacks landing on the Fortune 500 are landing on you, the same way. The difference is they have a team watching 24/7/365. Most small and midsize businesses have Windows Defender and a hope. Host Nick Dreyfus breaks down how AI rewrote the math of getting hacked, why no company gets a pass whether you have 10 employees or 10,000, what a breach really costs, and the one move that takes you off the easy list. No hype. No vendor spin. No Silicon Valley bias. In this episode: Why AI agents now hit a million businesses at once, around the clockA real report showing 100,000+ attack attempts in one week on a company that was told it was protectedWhy midsize firms are often the most exposed, from stale logins to reused passwordsThe true cost of a breach: lost contracts, broken trust, six months to recoverWhat enterprise-grade, 24/7/365 protection actually looks like, and how it can lower your cost per employee as you growHow the right Lloyd's of London backed cyber coverage is built to work for you, not against youThis episode answers: Are small and midsize businesses really targeted like the Fortune 500? Yes, and here is why.What does enterprise-grade cybersecurity actually mean versus commercial or free tools?Why do cyber insurance claims get denied, and how do you avoid it? Get the real numbers on your own network. We run the same threat report we run for our clients and show you exactly how often you are being targeted and whether your current tools are truly enterprise-grade. Book a time with Nick: https://meetings-na2.hubspot.com/ndreyfus Learn more: Managed services and cybersecurity: https://i-nett.comOur position on AI: https://i-nett.aiCommunity Technology Fund: https://nonprofit.i-nett.comConnect with Nick Dreyfus: LinkedIn: https://www.linkedin.com/in/nicholas-dreyfus/NickD@i-nett.com | (858) 337-2866 Chapters: 00:00 The AI agent attacking you now 03:00 What actually changed 06:30 100,000 attempts in one week 09:00 Small, midsize, and enterprise 12:30 What a breach really costs 15:30 Enterprise-grade and a 24/7/365 team 18:30 The objections and the growth math 21:00 The financial backstop 23:00 Be the harder target Your team focuses on growth. Our team makes that happen. New episodes weekly. Subscribe so the next threat does not catch you first. Educational only. Not legal, financial, or insurance advice. Results vary by environment. #Cybersecurity #ManagedServices #SmallBusiness #AI #MSP #CyberInsurance #Ransomware #Fortune500 #ITSecurity #DigitalDilemma

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Ratings & Reviews

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out of 5
3 Ratings

About

Technology decisions are business decisions. And right now, most business owners are making them blind, fed hype and spin from Silicon Valley instead of the straight answers they actually need. The Digital Dilemma exists to give executives and business owners the technology perspective they are not getting anywhere else. No filler. No fluff. No vendor propaganda. No Silicon Valley bias. Host Nick Dreyfus delivers the unfiltered truth about the technology risks, decisions, and opportunities that directly affect your bottom line. AI adoption. Most companies are rolling out AI tools with no policy, no training, no governance, and no idea what data their employees are pasting into public platforms. We break down what is actually happening, what it means for your business, and how to get ahead of it before it becomes a liability. Cybersecurity. The threats are evolving faster than most businesses can keep up. We cover the real risks targeting companies with 30 to 150 employees, the ones that do not have a Fortune 500 security budget but still have Fortune 500 exposure. Vendor strategy. Not every tool your MSP sells you is the best option. Not every platform with a big name behind it is worth the price tag. And not every free or open source solution is actually free when you factor in the security nightmares that come with publicly exploitable source code. We help you understand what enterprise-grade actually means and why it matters. Data protection and compliance. From shadow AI to overshared file permissions to third-party vendors uploading your client data into tools you have never heard of, we cover the gaps most businesses do not know they have until something goes wrong. Every episode is built for the business leader who needs to understand technology without wading through the noise, the agenda, and the marketing dressed up as advice. Whether it is a solo deep dive or a conversation with the people behind the platforms that protect and power modern businesses, every episode comes back to the same question: does this help you make a faster, smarter decision before your competition makes it first? This is the podcast where leaders come to get ahead of the technology curve, not react to it. New episodes weekly. About your host. Nick Dreyfus is a fully certified systems administrator with over 15 years of hands-on experience across enterprise and SMB environments. Before moving into managed services and cybersecurity, Nick worked as a software engineer on projects for Ford, General Motors, and Coca-Cola, built and managed web platforms across both enterprise and small business markets, and served as a digital marketing specialist where he grew Carl Burger's digital presence over 300 percent in 26 months. He has personally architected SMB and enterprise networks for thousands of organizations nationwide, designing infrastructure built for security, reliability, and scale. Nick is currently Vice President of Business Development at i-NETT, a managed services and cybersecurity provider based out of Southern California and servicing organizations across the United States and Canada. Connect with Nick on LinkedIn: https://www.linkedin.com/in/nicholas-dreyfus/

Information

  • Creator
    Nick Dreyfus
  • Years Active
    2024 - 2026
  • Episodes
    45
  • Rating
    Clean
  • Copyright
    © 2026 Nick Dreyfus
  • Show Website
    The Digital Dilemma

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