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Send us Fan Mail AI isn’t just changing software. It’s changing laws, infrastructure, and the day-to-day reality of work, and California is becoming one of the clearest previews of what comes next. We dig into a flurry of new California AI regulations aimed at worker rights and accountability, from requiring human review when AI influences disciplinary action or termination decisions to increasing transparency when layoffs are linked to automation. We also talk privacy, including why “surveillance” can mean Wi‑Fi telemetry and phone location tracking, not just cameras, and why the state is drawing lines employers can’t cross. From there, we follow the ripple effects into courts, healthcare, and deepfakes. The legal system is getting hammered by AI-generated filings, so we break down why codifying responsibility matters even when sanctions already exist. On the healthcare side, we discuss the balance between clinical decision tools and professional judgement, plus expectations that developers take reasonable steps to reduce predictable bias. And because synthetic media is now a real security problem, we explore updates meant to deter AI impersonation and strengthen protections around digital watermarks and metadata, even if enforcement will be messy. Then we shift to the physical world: data centers, power grids, and the economics behind the AI boom. California’s data center bills push builders to help fund grid upgrades and disclose water and energy use, with wildfires and ageing infrastructure as the backdrop. Nationally, communities and utilities are pushing back too, with major AI data center projects blocked, withdrawn, or stalled. We also pressure-test the numbers driving all this buildout, the profitability gap for AI labs, and the very real supply constraints on chips and memory that could leave shiny new facilities sitting half-empty. If you care about AI policy, data center growth, cloud infrastructure, network protocols, or how platform decisions like Microsoft retiring Exchange Web Services can hit real users, this one connects the dots. Subscribe for more, share this with a friend who works in tech policy or infrastructure, and leave a review with the biggest AI myth you want us to tackle next. Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail Agentic AI is changing what “normal” traffic looks like, and that forces a hard question: if most connections are workloads talking to workloads, why are we still designing network security around users accessing apps? We bring on Dan Sheldon (CEO) and Paul Carvill (CTO) to unpack their answer: Ephemeral Virtual Access (EVA), a just-in-time approach to cloud networking that creates encrypted connectivity only when a task has validated intent, then tears it down before it becomes permanent risk. We talk about why the zero trust networking label has drifted, how ZTNA fits (and where it doesn’t), and why always-on tunnels and broad east-west routing can turn into a “superhighway” for lateral movement. Dan and Paul explain guardrails set by security teams (PCI boundaries, dev vs prod, data sovereignty) and how developers can move faster when the network enforces a clear ceiling of connectivity without adding host agents or extra troubleshooting burden. The payoff is practical: shorter blast radius, faster delivery, and an audit trail that ties a session to what connected, for how long, and how much data moved. Then we zoom out to what’s coming next: post-quantum concerns and the harvest now, decrypt later threat model. Ephemeral connections, rapid teardown, and frequent key changes shift the economics for attackers who want to record traffic today and crack it later. We also get concrete about architecture, including lightweight sensors near workloads and higher-throughput edges that can spin up for jobs like backups and disappear to stop billing. Subscribe for more real-world cloud security and networking conversations, share this with a teammate who lives in firewall tickets, and leave a review with the biggest network assumption you think AI is about to break. Connect with Dan and Paul: https://www.linkedin.com/in/dan-sheldon/ https://www.linkedin.com/in/pcarvill/ Follow EVA: EVAnetworks.com Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail AWS and Azure just did the thing everyone argued would never happen: a managed, first party multi-cloud interconnect between the two biggest cloud platforms. We break down what’s actually new here, what’s simply being productized, and why this matters for enterprise cloud networking, identity driven architectures, and outage aware design. We also talk honestly about the current limitations and where high throughput connectivity still depends on ExpressRoute, Direct Connect, and established data centre cross connect ecosystems.  Then we pivot to the AI platform earthquake: NVIDIA’s planned $12.9B acquisition of Hugging Face. We explore incentives and power dynamics behind buying the “AI model repository” that hosts millions of open models and datasets. Does this make open model development easier and faster, since NVIDIA sells the GPUs that run everything, or does it create a new choke point the industry should monitor?  From there, we connect the dots to AI infrastructure economics and security. We discuss the growing debt and risk in data centre financing, including reports of scaled back guarantees on a major build, and why that matters beyond tech circles. We also unpack the OpenAI agent breach story with the nuance mainstream coverage often skips: a hacking test, an internet path through a proxy, weak monitoring, and why those details change the lesson. We wrap on a lighter note with GPT-6 Astra early impressions and what rapid prototyping can look like when the model is genuinely better. If you found this useful, subscribe, share it with a colleague, and leave a review with your take on multi-cloud and open models. Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail Space internet is no longer a science project, and the gap between “cool demo” and “usable enterprise transport” is closing fast. We sit down with Tom Kunath from Cisco to unpack what’s actually happening behind the hype: low Earth orbit constellations that hand off satellites every few seconds, improving latency that can land in the tens of milliseconds, and the messy networking realities that show up as loss, jitter, and unexpected performance drops. We walk through the multi-orbit picture in plain terms: why GEO is stable but slow, why MEO sits in the middle, and why LEO is the current spotlight for enterprise applications. From there, we get practical about SD-WAN over satellite. Tom shares what his testing revealed about early instability, how ground stations and oversubscription influence user experience, and what kinds of SLAs are realistic today when you design for roughly 1% loss and variable conditions like rain fade and obstructions. The most eye-opening part is the TCP story. Even when bandwidth looks great on a quick speed test, classic congestion control can crater sustained throughput as soon as loss appears. We dig into how SD-WAN features like TCP optimization/proxy, forward error correction, and packet duplication can turn “quirky broadband in space” into a link you can actually route over with confidence. We also cover security approaches from treating satellite like the public internet with IPsec overlays, to private L2VPN style services, and the next wave of “gatewayless” satellite networks that aim to keep traffic off the ground entirely. If you’re designing resilient branch connectivity, connecting remote sites, or planning for non-terrestrial networking and direct-to-device 5G, this conversation will sharpen your mental model fast. Subscribe, share this with a network engineer who’s skeptical about satellite, and leave a review with the biggest question you still have about LEO and SD-WAN. Connect with Our Guest:  https://www.linkedin.com/in/tom-kunath1679/ Cisco Starlink CVD: https://www.cisco.com/c/en/us/td/docs/solutions/CVD/Campus/Cisco_SDWAN_Starlink_LEO_Satellite_CVD.html Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail AI isn’t just changing software, it’s rewriting the rules around hardware, regulation, and power. We start with a report that the FCC is moving to restrict Chinese-made optical transceivers used in US AI data centers, and we unpack the real-world tradeoff between supply chain security concerns and the very practical problem of capacity. If you pull a key part out of the 800G optics market overnight, who actually fills the gap, and what breaks first? From there, the geopolitical mirror flips: China announces a cybersecurity review of Palo Alto Networks products with little detail, raising the uncomfortable question of when “security reviews” become economic leverage. Then we zoom out to the physical footprint of AI, where hyperscale data center projects are meeting environmental scrutiny and voter backlash. New York pauses permits to build a regulatory framework, and AWS withdraws a massive Maryland proposal even with major power nearby, signaling how quickly politics and community pressure can change the cloud roadmap. We close with the security stories that tie it all together: a proof-of-concept showing how an AI-enabled email assistant can supercharge business email compromise, reports of an autonomous agent breaking containment and hammering third-party services at machine speed, and a new US push to let “vetted” private companies conduct offensive cyber operations under federal direction. If you care about AI governance, cybersecurity, AI transparency, the EU AI Act, or the future of data centers, this one connects the dots. Subscribe for the monthly news rundown, share this with a friend who builds or secures AI systems, and leave a review with your take: where do you think the biggest risk really is? Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail “Secure AI agents” is a comforting phrase, and it’s also one of the most abused. We sit down with Zach Korman, a builder and security researcher known for stress-testing AI agent frameworks, to talk about what actually breaks when you connect LLM agents to tools, plugins, skills marketplaces, and live production systems. The punchline is not a single bug or a clever jailbreak, it’s a bigger design problem: agents can be influenced by untrusted content while holding real authority through API keys, SaaS access, and automation hooks. We dig into why “enterprise-grade security” claims often collapse under basic testing, how disclosure changes when a product launches with bold marketing, and why skills are a supply chain risk hiding in plain sight. Zack explains how malicious skills can smuggle commands in places humans never read, how automated scanners can be bypassed, and why “safe OpenClaw” may only be achievable by stripping away the very access that makes agents useful. We also cover MCP security concerns, including dynamic tool definitions, model capability mismatches, and the uncomfortable reality that some protocols effectively enable instruction injection by design. Then we get practical: how to vet tools if you’re not an InfoSec specialist, how to reduce third-party exposure, and what foundations matter most inside a company (visibility, least privilege, authorization, and governance). If your team is moving from chatbots to agentic automation, this conversation helps you spot security theater before it ships to customers. Subscribe, share this with someone deploying agents at work, and leave a review with the AI security question you want us to tackle next. Connect with our guest: https://x.com/ZackKorman Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail Two competitors deciding to stop fighting and build together always raises one question: what changes for the customers the next morning. We start with the BT and Verizon International joint venture and dig into what a shared global network footprint could mean across SD-WAN, MPLS, Ethernet and cloud connectivity, including the uncomfortable parts like orchestration changes, duplicated POPs and the possibility of forced migrations. If you run global sites, this is the kind of deal that can quietly reshape your WAN roadmap. Then we shift to the money and physics behind the cloud: Virginia’s new per kilowatt-hour data center electricity tax. It sounds small until you apply it to hyperscale consumption, and the inclusion of self-generated power closes an obvious workaround. We talk through why Northern Virginia’s data center corridor matters, how policy spreads state to state, and why the “they’ll just pass the cost on” argument is less theory than a pricing strategy you eventually see in your cloud bill. From there, it’s security and governance: the White House post-quantum cryptography executive order and the accelerating reality of quantum risk, including “harvest now, decrypt later.” We connect PQC deadlines to refresh cycles, vendor readiness, and the practical work of migrating both infrastructure and applications. We also hit identity head-on with Cisco’s plan to bring identity lifecycle security into Splunk’s agentic SOC, because non-human identities and AI agents are changing what least privilege even means. We close with the growing pattern of government intervention in frontier AI models and what it does to businesses building on specific model capabilities. If you found this useful, subscribe, share the show with a friend and leave a review so more people can find it. Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail Network automation doesn’t fail because engineers can’t code. It fails because teams can’t turn one-off wins into a repeatable way of operating. We sit down with Scott Robohn of Solutional, co-founder of the Network Automation Forum and one of the people behind Autocon, to unpack why Autocon keeps growing and why a “production-first” mindset changes the entire conversation. We talk about what makes the Autocon room feel different from traditional tech conferences: a grassroots vibe, a tough selection process that rewards what’s actually running, workshops that go deep, and a culture where it’s safe to share what broke. Scott also highlights a leadership track idea that hits home for working engineers: automation only scales when we can explain outcomes, costs, risk reduction, and why the business should tolerate early stumbles. Then we get real about AI in NetOps. LLMs can speed up scripting, summarize telemetry, and help teams prototype faster, but that doesn’t magically create maintainable enterprise automation. We dig into the gap between step one and step three, why workflow discipline matters, and how spec-driven development and test-driven development make AI-assisted work safer. We also connect the dots to security automation, SOC versus NOC adoption, and the emerging “security for AI” problem where policy alone is not a control. If you’re thinking about Autocon 6 in Tucson (November 16 to 20), Scott shares what to expect and how to plug into the community. Subscribe, share this with a teammate who owns change management, and leave a review with your biggest automation hurdle. Connect with our guest: Scott's LinkedIn https://www.linkedin.com/in/scottrobohn/ Network Automation Forum https://networkautomation.forum/ Solutional https://solutional.com/ Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail We react to the biggest stories from Cisco Live, focusing on why Cloud Control and Multi-Cloud Fabric could simplify how teams manage multi-domain infrastructure. We also unpack the Mythos export control shockwave and the growing backlash to AI data centers as efficiency claims collide with real community costs.  • Cloud Control as a manager of managers, bringing consoles, telemetry, and logs closer together  • Early-stage reality of “unified” platforms, plus the longer-term need for a shared policy engine  • AI Canvas and cross-product troubleshooting, pulling signals without console hopping  • Multi-Cloud Fabric as network as a service for branches, data centers, and multi-cloud connectivity  • Mythos 5 rollout frustrations for security workflows and why guardrails changed user experience  • Export controls and the fallout for foreign nationals, partners, and even internal teams  • Glasswing, vulnerability discovery, and the open question of how much better Mythos really is  • Bug bounty economics, including the reported cost per bug and what that means for incentives  • AWS water efficiency claims, plus why water and energy constraints still drive public resistance  • AI spend whiplash, cloud-era déjà vu, and why capacity keeps running into physics  Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail A $435 million all-cash acquisition doesn’t happen just to add another logo to a portfolio. We break down why Lumen is buying Alkira to become the control plane for cloud connectivity, and what that signals about where multicloud networking is headed. Alkira’s POP-based backbone and marketplace approach made cloud interconnect feel like a service. Plug that into a telco-sized footprint and you can imagine faster turn-ups, better orchestration, and smarter last-mile connectivity. You can also imagine a lot of painful integration work and real uncertainty for current Alkira customers. Then we pivot to something every engineering leader should be thinking about: what happens when your team depends on AI coding tools and the quality quietly drops. Anthropic’s Claude Code post-mortem is refreshingly candid, but it raises the bigger question we can’t ignore anymore: what’s the service level agreement for model “reasoning,” coding intelligence, and reliability, and what recourse exists when the output isn’t what you paid for? We also cover a new wave of supply chain attacks, where compromised packages can ride trusted pipelines, hunt for AI and cloud credentials in local dev directories, and self-replicate fast. And we end with the physical side of the cloud: a data center water controversy that shows why communities are pushing back as AI infrastructure scales. If you found this useful, subscribe, share the show with a friend, and leave a review. What story should we dig into next month? Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail If you still picture “hackers” as hoodie stereotypes and fast typing in a dark room, this conversation resets the story with real, practical detail. We sit down with Kyle Winters from Learn with Cisco to define ethical hacking and penetration testing the way security teams actually use it: as a sanctioned, scoped way to think like an attacker so you can fix weaknesses before a real threat actor finds them. The heart of the episode is simple: defence tools are not enough unless you test them with an offensive mindset. We dig into how red team, blue team, and purple team workflows differ, when black box testing beats white box testing, and why rules of engagement matter when a scan can lock accounts, crash fragile IoT devices, or disrupt business critical apps. Kyle also shares a hands on learning path through Cisco Networking Academy (NetAcad), including a free ethical hacking course with labs, a mock pen test flow, and Capture the Flag challenges on Cisco U that lead to a non expiring certificate. We also touch on Cisco Talos and why threat intelligence and community training help close the cybersecurity skills gap. Then we pivot to AI security and the uncomfortable truth: generative AI makes phishing, deepfakes, and voice impersonation more convincing, and agentic tooling can automate parts of exploitation faster than many teams expect. At the same time, AI adds a brand new attack surface, from prompt injection to unsafe chatbot connections into databases, which is why AI red teaming, OWASP style LLM risk thinking, zero trust, and least privilege are becoming core security skills. Subscribe for more practical cybersecurity conversations, share this with someone learning ethical hacking, and leave a review. What worries you most about AI in security right now? Connect with Our Guest: https://www.linkedin.com/in/kyle-m-winters/ Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail “Too dangerous to release” is a bold claim in cybersecurity, so we treat it like any other security headline: we interrogate it. We kick off our monthly news round-up by welcoming Catherine McNamara as a permanent co-host, then dig into Anthropic’s Mythos preview model and Project Glasswing, positioned as an AI security and threat intelligence leap that can allegedly find zero-day vulnerabilities at a level the public shouldn’t have yet. We ask the uncomfortable questions: where’s the independent evidence, what does high-fidelity vulnerability discovery actually look like, and how do we avoid drowning in AI-generated noise? From there, the discussion gets messier in the way real security always is. We talk about tokens, paid code security reviews, and how incentives change when AI companies chase growth, IPO pressure, and government contracts. We also unpack why “ethical” restrictions are hard to enforce in practice and how rumors of source code leaks and fast rewrites complicate any promise of controlled access. If powerful agencies can use AI to speed up exploit discovery, even lower-severity bugs can become dangerous when chained into real attacks. Then we pivot to a concrete lesson every org can use: the Vercel breach. A supply chain compromise plus a single OAuth “Allow All” moment shows how identity and SaaS permissions failures can open the door to data exfiltration. We break down least privilege, blocking risky OAuth grants, shadow SaaS, and why a CASB can be the difference between a contained incident and a headline. We close by connecting AI layoffs to social and economic pressure, including CEO security fears, surprising UBI rhetoric, and Oracle laying off 30,000 people by email. If you care about AI, cloud security, appsec, and what these incentives are doing to the world, this one’s for you. Subscribe, share the episode with a friend, and leave a review with your take: is the AI security boom helping defenders more than attackers? Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail Your AI can write code fast, but it can also wander fast. That’s why we sat down with Jason Belk from Learning at Cisco to unpack spec-driven development, a simple idea with huge impact: write the rules and requirements first, then let your coding agent execute with far fewer surprises. We talk through what “agentic coding” looks like in practice with Claude Code, including the trust and permission model of a local AI agent that can create files, run bash commands, and iterate on a real project. Jason explains how GitHub Spec Kit turns plain markdown and scripts into a repeatable workflow: start with a constitution that defines governing principles, then cycle feature by feature through specify, plan, tasks, and implement. Along the way we cover common gotchas like initializing in the wrong directory so skills never load, plus practical tips like using voice-to-text to improve prompts and choosing the right model tier when implementation quality matters. We also zoom out to the bigger picture: why context windows break long builds, how keeping plans on disk helps the agent “re-ground” itself, and where the industry may be heading with small specialized models versus one giant general LLM. Jason shares learning resources too, including a Cisco U tutorial that frames spec-driven development for network engineers, and the Cisco AI Technical Practitioner course and certification, plus upcoming Cisco Live sessions. Subscribe for more real-world AI workflows, share this with a teammate who keeps fighting prompt drift, and leave a review with the one automation project you want an agent to build next. Connect with Jason: https://linktr.ee/renobelk https://github.com/jabelk/claude-speckit-template SDD Relevant Material mentioned in this episode: https://sdd.goecke.io/ https://substack.com/home/post/p-189415335 https://ondemandelearning.cisco.com/apollo-alpha/tc-ai-spec-driven-dev/pages/1 https://learningnetwork.cisco.com/s/aitech-exam-topics https://u.cisco.com/paths/cisco-ai-technical-practitioner-20806 https://u.cisco.com/tutorials/introduction-specdriven-development-build-project-without-writing-code-28016 Software Defined Talk episode referenced: https://www.softwaredefinedtalk.com/563 Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail AI is everywhere right now, but the numbers and the real-world trade-offs don’t always match the hype. We dig into a headline that AI added basically nothing to US GDP growth last year, even after billions in spending from the biggest names in tech. That launches a bigger question we can’t ignore: is the AI boom creating durable productivity, or mostly moving money around the same handful of companies that sell GPUs, cloud capacity, and data center hardware? From there, we get into the messy incentive layer of AI safety and AI regulation. We talk about Anthropic’s shifting safety stance and why “we meant well but competition changed” is becoming a familiar pattern across the AI industry. If guardrails depend on goodwill, what happens when the market punishes anyone who slows down? And if we keep pushing responsibility onto “developers,” are vendors dodging accountability for the defaults they ship? We also zoom out to the physical footprint of AI infrastructure: energy demand, strained grids, and the environmental impact questions that show up when states consider options like data center wastewater discharge. Then we hit the human side of “AI efficiency,” including layoffs framed as automation wins, and we end with privacy concerns around Meta Ray-Ban smart glasses and footage that may capture far more than people expect. What headline worries you most right now: jobs, safety, the environment, or privacy? Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj

Send us Fan Mail Ready for a reality check on AI security? We invited Cisco cybersecurity expert Katherine McNamara to dig into where large language models actually break: from prompt injection and over-permissioned plugins to reckless “vibe-coded” apps that leak IDs, photos, and entire backends. The stories are real, the stakes are high, and the fixes are concrete. We trace how AI sprawl mirrors the worst of early IoT—weak defaults, poor isolation, and a stampede to integrate models into billing, HR, and support without guardrails—only this time the blast radius includes your customer data and your legal exposure. We talk through the human factor first. Written policies won’t stop someone from pasting a pen test report into a public chatbot. DLP helps, but hybrid work and BYOD stretch defenses thin. Then we move to the core threat model: public and private models are targets; datasets can be poisoned; plugins often ship with admin-level scopes; and a clever prompt can trick an LLM into disclosing chat histories, creating new accounts, or modifying orders. Courts have already treated chatbots as company representatives, binding businesses to their outputs—another reason to treat every integration like an untrusted user with strict least privilege. It’s not all doom. Used well, AI gives security operations superpowers: correlating signals across dozens of tools, reducing alert fatigue, and surfacing lateral movement. The path forward is discipline, not denial. Fence models on the network. Prefer read-only to write. Gate plugins behind narrowly scoped APIs. Vet datasets for backdoors. Red-team prompts as seriously as you pen test code. And educate stakeholders with live demos so they see why these controls matter. We also unpack the shaky economics—GPU costs, rising consumer fatigue, hype-fueled projects with little ROI—and why that pressure can erode privacy if teams aren’t vigilant. If you’re building with LLMs or trying to rein them in, this conversation gives you a practical map: what to allow, what to block, and how to make AI useful without turning your stack into an attack surface. Subscribe, share with a teammate who ships integrations, and drop a review with the one guardrail you’ll implement this quarter. Connect with our Guest: https://x.com/kmcnam1 https://www.linkedin.com/in/katherinermcnamara/ Check out the Monthly Cables2Clouds News Feed: https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/ Visit our website and subscribe: https://www.cables2clouds.com/ Follow us on BlueSky: https://bsky.app/profile/cables2clouds.com Follow us on YouTube: https://www.youtube.com/@cables2clouds/ Follow us on TikTok: https://www.tiktok.com/@cables2clouds Merch Store: https://store.cables2clouds.com/ Join the Discord Study group: https://artofneteng.com/iaatj