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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?
Purchase Chris and Tim's book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/
Check out the Monthly Cloud Networking News
https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/

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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/
Purchase Chris and Tim's book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/
Check out the Monthly Cloud Networking News
https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/

Visit our website and subscribe: https://www.cables2clouds.com/
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“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?
Purchase Chris and Tim's book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/
Check out the Monthly Cloud Networking News
https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/

Visit our website and subscribe: https://www.cables2clouds.com/
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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.
Purchase Chris and Tim's book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/
Check out the Monthly Cloud Networking News
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?
Purchase Chris and Tim's book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/
Check out the Monthly Cloud Networking News
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