Tech Talks Daily

• 3478: Why Aviatrix Believes Network Visibility Is the Missing Pillar of Cloud Defense

  How do you secure a world where trusted internal traffic now travels over the public internet? That's the question I put to Doug Merritt, CEO of Aviatrix, in this thought-provoking conversation recorded for Tech Talks Daily. Doug brings decades of experience from his time leading Splunk and other major technology players, and he now finds himself at the forefront of reshaping how enterprises think about cloud security. We discuss why the cybersecurity landscape is more treacherous than ever, especially as AI accelerates both defense and attack capabilities. Doug explains why the old "castle and moat" mindset no longer applies in the age of cloud workloads, where perimeters are atomized and workloads are ephemeral. He outlines how identity, endpoint, and network security form a three-legged stool—yet too many organizations focus on one leg while neglecting the others. Doug also shares why embedding protection directly into the network fabric changes the rules for defending the cloud, and how his team at Aviatrix is helping companies close dangerous visibility gaps. We explore the rise of agentic AI, the growing sophistication of lateral movement attacks, and why even trusted identities can pose risk in distributed environments. As we look to the future, Doug argues that the path forward is clear: build on strong foundations, simplify the noise, and make network visibility a first-class citizen in enterprise defense. What do you think—are most organizations ready to shift from bolted-on tools to truly embedded cloud security? I'd love to hear your thoughts after listening. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

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• 3477: The Intersection of AI, DX, and Technical Debt.

    Every software team, no matter its size or sophistication, has wrestled with the same quiet threat, technical debt. But what if the issue isn't just messy code or outdated frameworks, but something more human? That's the question Ernesto Tagwerker, Founder and CEO of OmbuLabs.ai, has been asking as he works at the intersection of AI, developer experience, and legacy modernization. In this episode of Tech Talks Daily, Ernesto joins me from Philadelphia to unpack why technical debt is so misunderstood and why the term has drifted far from Ward Cunningham's original metaphor. He argues that many teams treat it as a one-off cleanup task when, in reality, it's a living health issue that must be managed continuously. As he explains, "Every time you have to work around messy code, you're paying interest. And if later never comes, that interest piles up until progress grinds to a halt." We explore how AI is changing the way engineers think about remediation and developer experience (DX). Ernesto shares how OmbuLabs.ai uses AI agents to automate parts of the Rails upgrade process, scanning codebases for deprecations and generating actionable plans for clients. But his caution is clear, these tools are only as smart as the people orchestrating them. When used carelessly, they can generate invisible layers of new debt just as fast as they resolve the old. Ernesto also reflects on research from Google that reveals how "technical debt" varies wildly between teams and projects. He explains why leadership alignment is vital, how recurring surveys can help identify developer pain points, and why organizations should measure "technical health" rather than chase the unrealistic goal of zero debt. We discuss the cultural shift required for long-term success and why allocating even 10 to 20 percent of each sprint to DX improvements can dramatically reduce burnout and turnover. Finally, Ernesto offers his take on the future. AI will continue to automate repetitive work and surface smarter insights, but human oversight remains non-negotiable. In his words, "AI agents are only as good as their human operator." This conversation goes beyond code reviews and sprint retrospectives. It's about redefining what progress means in software development, healthier systems, happier developers, and smarter collaboration between humans and machines. Listen now to hear how Ernesto Tagwerker and OmbuLabs.ai are rethinking technical debt, DX, and AI-driven engineering for the decade ahead.   Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

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• 3476 How Denodo's Deep Query Brings Reasoning to Enterprise AI

  What if business intelligence didn't stop at answering what happened, but could finally explain why? In this episode of Tech Talks Daily, I sit back down with Alberto Pan, Chief Technology Officer at Denodo, to unpack how Deep Query is redefining enterprise AI through reasoning, transparency, and context. We explore how Deep Query functions as an AI reasoning agent capable of performing open-ended research across live, governed enterprise data. Instead of relying on pre-built dashboards or static reports, it builds and executes multi-step analyses through Denodo's logical data layer, unifying fragmented data sources in real time. Alberto explains how this semantic layer provides the business meaning and governance that traditional GenAI tools lack, transforming AI from a surface-level Q&A system into a trusted analytical partner. Our conversation also digs into the bigger picture of explainable AI. Deep Query reports include a full appendix of executed queries, allowing users to trace every insight back to its source. Alberto breaks down why this level of auditability matters for enterprise trust and how Denodo's support for the Model Context Protocol (MCP) opens the door to more interoperable, agentic AI systems. As we discuss how Deep Query compares with RAG models and data lakehouses, Alberto offers a glimpse into the future of business intelligence—one where analysts become guides for AI-driven research assistants, and decision-makers gain faster, deeper, and more transparent insights than ever before. So what does the rise of reasoning agents like Deep Query mean for the next generation of enterprise AI? And how close are we to a world where AI truly understands the why behind the data? Tune in and share your thoughts after listening.   Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

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• 3475: Jamf - Why Zero Trust Must Include macOS and iOS

  For years, many businesses believed that Apple devices were inherently secure. That illusion has faded. In this episode of Tech Talks Daily, I speak with Adam Boynton, Senior Security Strategy Manager at Jamf, about why visibility across macOS and iOS is no longer a luxury but a necessity. Adam explains how Jamf has evolved from device management to full Apple-native security intelligence, protecting over 75,000 organizations and more than 32 million devices. He shares how attackers no longer target individual operating systems but entire ecosystems, exploiting the gaps between how Apple secures its platforms and how enterprises actually monitor them.  From real-world cases to lessons learned at Jamf's annual JNUC conference, Adam describes how telemetry provides security teams with the truth about what's really happening on their endpoints, enabling them to transition from reactive incident response to proactive defense. Our conversation covers everything from the architectural blind spots that traditional Windows-centric tools can't see to the rise of AI-driven analysis that turns complex forensic investigations into minutes-long processes. We also explore how Jamf's partnerships, such as those with Elastic, are creating an open and integrated future for enterprise security, blending deep Apple signals with cross-platform context. For anyone still clinging to the myth that macOS or iOS "just work" without attention to security, this episode is a wake-up call. Adam outlines practical advice on patching, mobile hygiene, and zero trust, while revealing how Jamf's latest innovations are quietly making the most secure way the easiest way for users. Listen to hear how Jamf is redefining modern Apple security, turning management, identity, and protection into a seamless whole, and why accurate visibility—not assumptions—is now the objective measure of cybersecurity readiness. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

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• 3474: Mendix CTO on Closing the Gap Between University and Industry

  There was a time when a computer science degree almost guaranteed a fast track into a well-paid career. But that promise is slipping. In today's Tech Talks Daily episode, I reconnect with Hans de Visser, Chief Technology Officer at Mendix, to discuss why recent graduates are finding it more challenging than ever to secure their first role in technology, and what they can do about it. Hans brings decades of experience in software engineering and low-code innovation, and his perspective on today's market is both sobering and optimistic. We discuss new research indicating a sharp decline in junior developer openings since 2024 and explore how the rapid rise of AI has altered the hiring equation.  The expectation now is that young developers arrive fluent in automation, generative AI, and multidisciplinary tools —skills that few university programs can thoroughly teach. Yet, as Hans points out, this doesn't mean opportunity has vanished. It just looks different. Our conversation unpacks what this new reality means for aspiring developers. Hans explains how Mendix evaluates candidates by testing their ability to think critically about AI-assisted code rather than generate it.  He explains why graduates must master both traditional software foundations and modern tools, such as low-code platforms and agile applications. And he offers advice on building a mindset of lifelong learning, staying curious, experimenting with new tools, and understanding how AI can amplify rather than replace human creativity. For anyone feeling disheartened by the tightening job market, Hans offers balance and hope. He believes that as the definition of software developer evolves, new hybrid roles will emerge at the intersection of business, creativity, and technology. The graduates who will thrive are those who treat AI as a collaborator, not a competitor. Listen to this episode to hear how Mendix is helping redefine what it means to build software in the age of AI, and why today's tech graduates may need to think less about securing a single job title and more about creating a career that never stops learning. Tech Talks Daily is Sponsored by NordLayer: Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.    

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