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Hello, my name is Wayne and I'm a dynamic, highly technical, hands-on executive leader…
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Wayne White shared thisA bit sobering. Leave it to Arthur Burt to explain.Wayne White shared thisWake Up Call: The Fix for the Cloudflare Outage Was Down, Too. The recent Cloudflare global network issue (November 2025) was more than just widespread 500 errors. It exposed a fundamental architectural flaw that must be addressed by every organization: The Control Plane Paradox. Imagine trying to access the Cloudflare Dashboard to initiate recovery, only to find the login page was failing because the Turnstile CAPTCHA was non-operational. Why? Because the management and security layers relied on the same core utility (Workers KV) that had just failed catastrophically. The system designed to restore service was dependent on the service that had just failed. This isn't just about Cloudflare; it’s about Digital Resilience. We must stop betting our business on single vendors, no matter how resilient they claim to be. Key Takeaways & Mandatory Action Items: 1. Mandate Control Plane Decoupling: Your login, monitoring, and administrative APIs must be architecturally isolated from the data services they manage. If the core CDN fails, you need a completely independent 'backdoor' to switch providers. 2. Move to Multi-CDN: Basic DNS Failover isn't enough. Implement an Active-Passive Multi-CDN strategy. This is an accessible hedge against systemic failure, ensuring that when one vendor collapses, you automatically route traffic around the problem. 3. Invest in Independent Monitoring: Don't rely on your vendor's status page. Deploy independent, out-of-band health checks to verify service availability in real-time. The cost of a Multi-CDN strategy is negligible compared to the cost of a global lockout. Read the full strategic analysis on achieving true digital resilience and avoiding the control plane trap: #Cloudflare #CDN #DigitalResilience #MultiCDN #DevOps #Infrastructure #CloudComputing #OutageDigital Resilience Fail: The Irony of the CAPTCHA That Killed Cloudflare Dashboard Access.Digital Resilience Fail: The Irony of the CAPTCHA That Killed Cloudflare Dashboard Access.
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Wayne White shared thisYou are using AI, even if you don't think you are. Believe that.Wayne White shared this𝗔𝗜 𝗶𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗶𝗻𝘀𝗶𝗱𝗲 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻. 𝗧𝗵𝗲 𝗿𝗶𝘀𝗸 𝗶𝘀 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝘆𝗼𝘂’𝗿𝗲 𝗴𝗼𝘃𝗲𝗿𝗻𝗶𝗻𝗴 𝗶𝘁. Employees are using AI every day—to write emails, analyze data, summarize documents, and generate code. Most of that usage happens quietly, outside approved tools, policies, or security controls. This isn’t malicious behavior --> It’s human behavior. But ungoverned AI use introduces real risk: • Data leakage • Compliance violations • Intellectual property exposure • Loss of auditability At the same time, AI is transforming cybersecurity and GRC—enabling faster threat detection, continuous compliance, and predictive risk management. That’s the paradox: 𝗔𝗜 𝗰𝗮𝗻 𝗯𝗲 𝗯𝗼𝘁𝗵 𝘆𝗼𝘂𝗿 𝘀𝘁𝗿𝗼𝗻𝗴𝗲𝘀𝘁 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗮𝗻𝗱 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝗹𝗶𝗻𝗱 𝘀𝗽𝗼𝘁. Cyber Mama, Rhonda Waddell, wrote this piece, “Shadow AI Risk,” to break down: • What’s really happening inside enterprises today • Where AI strengthens security and compliance • Where unmanaged AI quietly creates exposure • A practical framework for governing AI without killing productivity 𝗔𝗜 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗯𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅. 𝗜𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗶𝗻𝘁𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹. #AIGovernance #CyberSecurity #GRC #RiskManagement #EnterpriseAI #AltDigital Read the full post here: https://lnkd.in/gTJA-aDG
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Wayne White shared thisThis is why I am grateful for Tina Valdez.Wayne White shared this𝗙𝗲𝗹𝗹𝗼𝘄 𝗼𝗽𝗲𝗿𝗮𝘁𝗼𝗿𝘀 (bison, tech, security, revenue - all y'all), I’ve been thinking about this while watching smart leaders drown in dashboards, roadmaps, and “alignment meetings" ("My personal favorite," she says sarcastically). What if the reason your tech, security, and AI efforts feel chaotic has nothing to do with effort or talent? What if you’re fighting 𝗵𝗼𝘄 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗯𝗲𝗵𝗮𝘃𝗲𝘀? Most organizations are still staffed as if: • risk is predictable • technology changes slowly • one full-time leader can “own” everything None of that is true anymore. A few quiet laws explain why things feel harder than they should: 𝟭. 𝗖𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝘁𝗮𝘅 Every new system, vendor, regulation, or AI tool adds decision friction. Not linearly. Exponentially. More tooling doesn’t buy control. It often buys slower judgment. 𝟮. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗰𝗼𝗹𝗹��𝗽𝘀𝗲 Security sees risk. Product sees speed. Finance sees cost. Revenue sees targets. No one sees the whole system—so decisions degrade. Bad outcomes usually aren’t bad decisions. They’re fragmented context. 𝟯. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝘀𝗮𝘁𝘂𝗿𝗮𝘁𝗶𝗼𝗻 At a certain point, more hours don’t add insight. Your COO doesn’t need more initiatives. Your CISO doesn’t need more alerts. Your growth leader doesn’t need more dashboards. They need better judgment per decision. 𝟰. 𝗗𝗿𝗶𝗳𝘁 Most failures don’t come from big mistakes. They come from slow drift: • temporary exceptions becoming permanent • “we’ll fix it later” becoming normal • AI creeping in without oversight Drift is what happens when no one has time to hold the line. Here’s the mental shift that changes everything: 𝗛𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗱𝗼𝗻’𝘁 𝘀𝘁𝗮𝗳𝗳 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. They 𝘢𝘤𝘤𝘦𝘴𝘴 𝘴𝘦𝘯𝘪𝘰𝘳 𝘫𝘶𝘥𝘨𝘮𝘦𝘯𝘵 𝘸𝘩𝘦𝘯 𝘪𝘵 𝘮𝘢𝘵𝘵𝘦𝘳𝘴 𝘮𝘰𝘴𝘵. That’s where fractional leadership actually fits. Not as a cost play. As a precision move. At AltDigital, clients call us when: • AI is moving faster than governance • operational drag is threatening growth • risk spans tech, data, and people • no single leader can carry the whole system We plug in fractional 𝗖𝗢𝗢, 𝗖𝗜𝗦𝗢, 𝗮𝗻𝗱 𝗖𝗫𝗢-𝗹𝗲𝘃𝗲𝗹 𝗼𝗽𝗲𝗿𝗮𝘁𝗼𝗿𝘀 who’ve already seen the movie—and know where it breaks. No ramp-up theater. No empire-building. Just experienced judgment, when decisions count. Because the real constraint isn’t talent. It’s misallocated expert capacity at the moment decisions are made. by Tina Valdez, Managing Partner, AltDigital
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Wayne White shared thisBefore your AI bills jump, take a moment to read this from Tina Valdez!Wayne White shared thisAI isn't just innovation—it's a 𝗰𝗼𝘀𝘁 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗲𝗮𝗿𝘁𝗵𝗾𝘂𝗮𝗸𝗲. Cloud bills spiking 300%? Compute costs up nearly 100%? We've seen it happen. Our latest blog breaks it down: • Traditional IT vs. AI's unpredictable hunger • Why shifting to API providers doesn't save money • 6 practical controls to keep budgets from imploding Real examples, hard numbers, no fluff. At AltDigital, we help leaders quantify AI spend, harden security, and turn tech liabilities into advantages. What's your biggest AI cost surprise so far? Drop it below. https://lnkd.in/g_xqfCGK
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Wayne White shared thisIt isn't "Should we use AI?", you already are.Wayne White shared this𝗔𝗜 𝗶𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗶𝗻𝘀𝗶𝗱𝗲 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻. 𝗧𝗵𝗲 𝗿𝗶𝘀𝗸 𝗶𝘀 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝘆𝗼𝘂’𝗿𝗲 𝗴𝗼𝘃𝗲𝗿𝗻𝗶𝗻𝗴 𝗶𝘁. Employees are using AI every day—to write emails, analyze data, summarize documents, and generate code. Most of that usage happens quietly, outside approved tools, policies, or security controls. This isn’t malicious behavior --> It’s human behavior. But ungoverned AI use introduces real risk: • Data leakage • Compliance violations • Intellectual property exposure • Loss of auditability At the same time, AI is transforming cybersecurity and GRC—enabling faster threat detection, continuous compliance, and predictive risk management. That’s the paradox: 𝗔𝗜 𝗰𝗮𝗻 𝗯𝗲 𝗯𝗼𝘁𝗵 𝘆𝗼𝘂𝗿 𝘀𝘁𝗿𝗼𝗻𝗴𝗲𝘀𝘁 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗮𝗻𝗱 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝗹𝗶𝗻𝗱 𝘀𝗽𝗼𝘁. Cyber Mama, Rhonda Waddell, wrote this piece, “Shadow AI Risk,” to break down: • What’s really happening inside enterprises today • Where AI strengthens security and compliance • Where unmanaged AI quietly creates exposure • A practical framework for governing AI without killing productivity 𝗔𝗜 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗯𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅. 𝗜𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝗯𝗲 𝗶𝗻𝘁𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹. #AIGovernance #CyberSecurity #GRC #RiskManagement #EnterpriseAI #AltDigital Read the full post here: https://lnkd.in/gTJA-aDG
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Wayne White shared thisThings are picking up in M&A, but so are the risks. Are you using AI to help lower those risks? Look into Caddy.Wayne White shared thisAnother mega-deal hits the wire! Parker Hannifin's $9.25 billion acquisition of Filtration Group is a massive move, and the headline-grabbing number is the $220 million in expected cost synergies. But as any dealmaker knows, identifying synergies on a spreadsheet is one thing; realizing them is another. The 6-12 month closing timeline, complex regulatory approvals, and the integration of 7,500 employees across global operations create a monumental execution challenge. Every step, from initial due diligence to post-merger integration, must be managed with precision to ensure those projected synergies don't evaporate. This is where M&A automation platforms like Caddy become indispensable. In a high-stakes, high-complexity transaction like this, relying on manual processes, endless spreadsheets, and scattered data is a recipe for value destruction. Caddy streamlines the entire deal lifecycle, providing a single source of truth, automating workflows, and ensuring seamless collaboration across teams and advisors. The result? Faster, more efficient due diligence, smoother integration, and a much higher probability of capturing the full value of the deal. How are you ensuring your M&A process is built to capture value, not just identify it? #MandA #InvestmentBanking #DealMaking #CorporateDevelopment #PrivateEquity #Automation #Fintech #Caddy https://lnkd.in/dsQRj3t5Parker to Acquire Filtration Group Corporation, Significantly Expanding Filtration Offering and Aftermarket BusinessParker to Acquire Filtration Group Corporation, Significantly Expanding Filtration Offering and Aftermarket Business
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Wayne White shared thisCould not be more proud to have Charlie's insight and expertise on board!Wayne White shared thisI'm excited to share that I've been nominated to the Advisory Board for my-caddy.ai! With over 25 years in the industry, I'm thrilled to contribute insights from Cisco's leading-edge solutions as this innovative team revolutionizes AI for the M&A and private equity sectors. What truly stands out is the real-world benefit for early adopters: up to 30% increased capacity, minimized risks, and accelerated evaluations. This isn't just tech—it's a game-changer reshaping how deals get done. I'm profoundly grateful for the chance to support such a visionary team. https://www.my-caddy.ai/ #AI #MergersAndAcquisitions #PrivateEquity #Innovation #AdvisoryBoard
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Wayne White shared thisWhen I discussed the level of tracking in Caddy with one of my favorite CFOs, his reaction surprised me. It's hard to make "the numbers guy" happy, but we did. Caddy can end a lot of M&A frustrations and arguments among the C-Suite and the Board.Wayne White shared thisIt’s happened in boardrooms for years. Statistically, it’s happening right now. One firm is evaluating the merits of acquiring another. The buyer’s executives are arguing—again—over who changed the math. The CEO insists his team wouldn’t dare. The CFO knows his team was focused elsewhere. The COO swears the numbers are different. Timelines are tight. Nobody has room for mistakes—or unauthorized adjustments. And while they argue, everyone else in the room has a front-row seat to the most expensive and most uncomfortable meeting they’ve ever attended. The worst part? It’s completely avoidable. Caddy’s Audit Log tracks every action—literally every one—inside the platform. Who viewed what. Who asked which questions. Who created, changed, or deleted which data. Searchable by user, date, action, or object. Built by people who’ve lived through the finger-pointing, the denials, the apologies. So when the log shows nobody changed the data? It’s not just credible—it’s liberating. The team gets back to work. The deal gets back on track. #KeepYourFocus #TimeKillsAllDeals #FinTech #MergersAndAcquisitions
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Wayne White shared thisAs is always the case. The faster things move, the more you need a better way to compete.Wayne White shared thisThe M&A market is not just heating up; it's exploding with complexity. The third quarter of 2025 was the busiest for megadeals (valued at $10B+) since Q2 2022, with four such deals announced in September alone. This surge in high-value, intricate transactions underscores a critical need for advanced automation in the M&A lifecycle. As reported by S&P Global, these recent megadeals, like the $55.18 billion leveraged buyout of Electronic Arts (EA) Arts and the multi-party acquisition of Air Lease, involve complex financing, cross-border regulatory hurdles, and extensive due diligence. Managing these processes manually is no longer a viable option for firms that want to stay competitive. This is where M&A automation platforms like Caddy AI come in. By streamlining workflows, automating due diligence, and providing a single source of truth for all deal-related data, Caddy empowers dealmakers to navigate the complexities of modern M&A with greater efficiency and accuracy. The result is faster deal execution, reduced risk, and a significant competitive advantage in a rapidly accelerating market. Read more about the Q3 M&A surge here. #MandA #InvestmentBanking #CapitalMarkets #DealMaking #Automation #Caddy
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Wayne White liked thisJim Farnsworth - It was truly great catching up with you today. So many shared stories. The currents in the #CX and #BPO industry may constantly change, but confidence comes from knowing your paddle is pointed in the right direction. Have a wonderful holiday weekend...Go Avs!!Wayne White liked thisA beautiful Colorado day to catch up with Matt Fry for lunch. Always good to see you my friend.
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Wayne White liked thisWayne White liked thisI am excited to announce that TTEC Holdings, Inc. (NASDAQ:TTEC) is now a Texas company. After more than a decade of considering whether re-domestication is the right move, TTEC changed its state of incorporation from Delaware to Texas — joining a growing number of companies reconsidering where they are incorporated and why it matters. The move reflects TTEC’s strong nexus to Texas — its operational presence, leadership connections, and Texas’ growing appeal to innovation-driven businesses. More importantly, it reflects a broader shift in how companies are thinking about governance and its state of incorporation. For growth-oriented, technology-first companies, state of incorporation is no longer a static default to Delaware. Boards and leaderships teams are increasingly evaluating the corporate home through the lens of agility, operational alignment, judicial predictability, business and litigation environment, and long-term strategic flexibility. That conversation is accelerating in the era of AI-enabled transformation. As businesses move faster, governance frameworks must evolve to support innovation and speed — while maintaining disciplined fiduciary oversight, shareholder rights, and risk management. For decades, Delaware was the automatic answer for incorporation. Today, more companies are asking a different question: what jurisdiction best supports the company’s future? Considering re-incorporation or deciding where to domicile your company after a strategic combination, pre-IPO, or following a major capital infusion? Connect with me, I would love to share how this decision evolved for us and how to expecute it efficiently without business disruptions.
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Wayne White liked thisWayne White liked thisTHIS JUST IN: OpenAI announces a $4 billion enterprise venture. I think they think that now there isn't just a red and blue pill. Now there's a stupid pill. But this is simply not true. This is a complete fabrication And now the media and the influencers will all amplify it as if it is true because they either 1. Won't bother to look at what is really going on or 2. It is in their financial interests to go along. We need to be careful these days. When a company like OpenAI announces something, it is rarely what it seems. In fact, people, we are being played for fools. HERE IS WHAT THEY SAID: OpenAI is launching "OpenAI Deployment Company," a $4B venture to help enterprises deploy AI at scale. They are acquiring Tomoro, a London consultancy, to bring in 150 "forward deployed engineers." Partners include TPG, Advent, Bain Capital, Brookfield, Goldman Sachs, SoftBank, McKinsey, Capgemini, and 11 others. The framing: OpenAI going "all-in on enterprise." HERE IS WHAT IS REALLY GOING ON: 1. The $4B is not OpenAI's money. It came from a private equity syndicate. OpenAI contributed brand and model access. The PE firms wrote the checks. This is a JV structured specifically so OpenAI does not have to fund it from a balance sheet that is burning $17B this year alone. 2. OpenAI's cash burn forecast just doubled. Internal projections now show $218B in cumulative burn between 2026 and 2029 — $111B more than projections from two quarters ago. That is 23x what Tesla burned in its entire cash-incinerating phase from 2007 to 2018. 3. Anthropic passed OpenAI on revenue in April. $30B annualized run-rate vs. OpenAI's $24B. While spending roughly 4x less on model training. Anthropic projects profitability in 2028 or 2029. OpenAI projects 2030 — if ever. 4. This announcement is a response to Anthropic's Wall Street JV from last week. OpenAI is being forced into enterprise services because consumer ChatGPT margins are catastrophic and the model alone does not sell. 5. The acquisition target is a consulting firm. The strategy is to embed humans inside enterprises to make the model useful. This is Palantir's 2010 playbook. It is also a quiet admission that autonomous AI is not ready for the work being sold to boardrooms. The real headline is not "OpenAI raises $4B." The real headline is: OpenAI admits the model is not the product. When will these games end? So humanity and business can get back to doing serious work and building valuable things? --- Follow me if you've decided to take the red or blue pill. Either is fine but please don't take the stupid pill. It's not good for you.
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Wayne White liked thisWayne White liked thisCloudflare hired 1,111 interns in September. Laid off 1,100 people this week. They're calling it "AI-driven restructuring." I build AI employees for a living. So when a company blames layoffs on AI, I notice, because the math has to work, and right now it doesn't. If AI was making 20% of your workforce redundant, you'd see two things: revenue per employee climbing fast, and the people leaving would be in roles AI can actually do (support tier 1, copywriting, basic admin). Instead Cloudflare's stock dropped 15-18% on the news. And the people I see going are senior engineers with institutional knowledge. That's not AI displacement. That's a P&L decision dressed up in trendy language. What's actually going on: One commenter on HN nailed it: "It's the natural result of fire the bottom 10% every year. If that's the rule and you have a core group who actually know the systems, you better keep 10% padding, lest you lay off someone important and their friends quit in disgust." Another: "I've seen managers hiring people with the intent to lay them off when winds change. Great KPIs both ways, first for scaling the team, then for cutting costs." That's the loop. You hire to look like you're growing. You fire to look like you're disciplined. The employees are inventory. AI is the new excuse. Here's the part founders need to internalize: You cannot cram 25 years of operational experience into two new hires, no matter how cheap they are. Half of Cloudflare's workforce has under 3 years tenure. The people who know why a config exists, why a script was written that way, why a customer migration matters, those people walked out the door this week. Six months from now, things will break that nobody knows how to fix. The fix will cost more than the salaries that got cut. Always does. I run a small team. I keep a written list of the people I cannot afford to lose, and I act on it every quarter. Salary, equity, autonomy, recognition. Not because I'm soft, because I've watched enough big companies do the opposite and end up unable to ship. If you're a founder reading this: AI is not your reason to fire your senior people. It's your reason to give them leverage. The companies that win the next decade will be the ones whose senior engineers + AI agents compound. Not the ones who replaced them with juniors and called it innovation. #Layoffs #Leadership #AI #Cloudflare #FutureOfWork
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Wayne White liked thisWayne White liked this𝗔 𝗦𝘄𝗶𝘀𝘀 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗯𝘂𝗶𝗹𝘁 𝘁𝗵𝗲𝗶𝗿 𝗼𝘄𝗻 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺 𝘄𝗶𝘁𝗵 𝗮𝗻 𝗔𝗜 𝗰𝗼𝗱𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝘁 𝗮𝗻𝗱 𝗽𝘂𝘁 𝗶𝘁 𝗼𝗻 𝘁𝗵𝗲 𝗼𝗽𝗲𝗻 𝗶𝗻𝘁𝗲𝗿𝗻𝗲𝘁. 𝗔𝗻 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗻𝗲𝗲𝗱𝗲𝗱 𝘁𝗵𝗶𝗿𝘁𝘆 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝘁𝗼 𝗴𝗲𝘁 𝗳𝘂𝗹𝗹 𝗿𝗲𝗮𝗱 𝗮𝗻𝗱 𝘄𝗿𝗶𝘁𝗲 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝗲𝘃𝗲𝗿𝘆 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗿𝗲𝗰𝗼𝗿𝗱. Tobias Brunner had gone in for a medical appointment himself. The medical professional proudly explained they had built the app with an AI coding agent, imported all patient data, put it online, and shipped appointment audio to two US AI services. A few days later, Tobias started poking. Single HTML file with all logic inline. Managed database with zero access control. "Authorization" in client-side JavaScript, one curl away from every record. Audio shipped to US AI services without consent. US hosting without a Data Processing Agreement. Swiss lawyer Martin Steiger walked through the legal damage: likely breaches of Art. 7, 8, 9, and 16 of the Swiss DSG, plus Art. 321 StGB on professional secrecy. Patients were never told. Tobias reported it. The response was AI-generated, promising basic authentication and rotated keys. None of that addressed the real problem. They did not understand what they had built. This is not about bad AI. Tobias and I both use coding agents. We recognize when the model hands us a loaded gun pointed at the user. 𝗧𝗵𝗶𝘀 𝗶𝘀 𝗻𝗼𝘁 𝗱𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲. 𝗜𝘁 𝗶𝘀 𝗱𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆. AI is an exoskeleton, not a coworker. It amplifies a trained wearer. On untrained ones, it amplifies unsafe actions at higher speed. The medical professional moved faster than their judgment, and the patients absorbed the difference. Human-in-the-loop is not a property of the system. It is a property of the human. The loop existed here. The human inside it was blind. The chapter Augment with Intelligence in 𝗧𝗵𝗲 𝗖𝘆𝗯𝗲𝗿𝗻𝗲𝘁𝗶𝗰 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 argues competence at the edge is non-negotiable. Steiger adds a market point: Health Tech startups doing compliance work now compete against shadow AI that skips it. The shortcut wins on speed, and the rest of the market pays for the regulatory response. The medical professional is not the villain. The villain is the narrative that told non-engineers they could skip the engineering part. But engineering is not writing code. It is understanding the system, the failure modes, the blast radius. Vibe coding cannot give you that. Who carries the downside when we leave that part out, the builder or the user? #VibeCoding #AIAdoption #DataProtection #nDSG #HealthTech #SoftwareEngineering #AugmentWithIntelligence
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Wayne White liked thisWayne White liked thisToday I am pleased to announce an exciting change to my company, with a new look, new site, and a new name. Today we are not just Octayne, we are HiOctayne. Bringing a collective wealth of team experience to help businesses connect with things they need to thrive through ideas, people, and technology. Check it out, tell your friends and associates, and let's work together. https://www.hioctayne.com/
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Caddy AI
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US Army - Cyber Technology Trends
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Response by request, covering cyber security threats in the next 5, 15, and 25 years for Department of the Army RDECOM. White paper covered swarm applet emergent behavior, future attack vectors and management, and the future of self-optimizing data.
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