Hosts: Alan Shimel, Mike Vizard. Guests: Stephen Foskett, Mitch Ashley.

Host Mike Vizard is joined by guests Jeff Reich, Barbara Roos, and Fred Wilmot.

Panel: Mike Vizard (host) with guests Stacy Thayer, Jiewen Wang, and Chris Blask.

The panel also examines why cyber resilience plans often fail in practice, how Commvault’s new tie-up with Google Threat Intelligence fits the broader trend, and how LinkedIn has become an active counterintelligence battlefield in the “Robin Sage 2.0” era.

Host: Mike Vizard. Guests: Jack Gold (J.Gold Associates), Drew Gutstein (Gutstein Security Works), Robert Reeves.

Mike Vizard hosts Sid Nag (Tekonyx), Kate Scarcella (Continuous Delivery Foundation), and Chris Blask (QuietWire) to unpack all three stories.

Full breakdown on today's Techstrong Gang with Alan Shimel, Kate Scarcella, Sid Nag, and Chris Blask.

On today's Techstrong Gang, Alan Shimel, Mike Vizard, Kate Scarcella, Sid Nag, Chris Blask and Ashraf Al Hajj unpack the letter and its high-profile signatories, then turn to new research showing how AI is lowering the skill floor for terrorist groups like Boko Haram and ISIS.

Plus, Microsoft warns that AI has compressed the window between a security patch's release and its exploitation from weeks to hours — and is telling enterprises to cut Windows update delays to under three days.

Meta answers with three AI moves of its own: the Muse Spark 1.1 coding/agentic model aimed at OpenAI and Anthropic, an internal claim that its "Watermelon" model matches GPT-5.5, and a new AI cloud business to monetize its $125-145B infrastructure spend. Plus, backlash over Meta's consent-free Muse Image photo tool.

And: SAP avoids an EU antitrust fine with a decade of licensing and support policy changes.

Hosts: Mike Vizard, Alan Shimel Guests: Stephen Foskett, Elizabeth Safran, Yvette Schmitter

The episode starts with AI the Liar, looking at MIT research aimed at making large language models produce more accurate answers. From there, the gang turns to Salesforce’s agentic AI platform, which the company says can automate and modernize fragmented back-office workflows using specialized agents and auditable digital blueprints.

The final segment focuses on cybersecurity hiring pressure. A Fortinet-commissioned survey of 2,750 cybersecurity and IT professionals found that 51% specifically need senior-level skills, 60% say finding cybersecurity talent with AI experience is their top security challenge and 87% expect to increase cybersecurity team size.

From model trust to workflow automation to the cyber skills gap, today’s show tracks where enterprise AI is creating both opportunity and strain.

#TechstrongGang #AI #Salesforce #Cybersecurity #AgenticAI

The episode starts with AI the Liar, looking at MIT research aimed at making large language models produce more accurate answers. From there, the gang turns to Salesforce’s agentic AI platform, which the company says can automate and modernize fragmented back-office workflows using specialized agents and auditable digital blueprints.

The final segment focuses on cybersecurity hiring pressure. A Fortinet-commissioned survey of 2,750 cybersecurity and IT professionals found that 51% specifically need senior-level skills, 60% say finding cybersecurity talent with AI experience is their top security challenge and 87% expect to increase cybersecurity team size.

From model trust to workflow automation to the cyber skills gap, today’s show tracks where enterprise AI is creating both opportunity and strain.

#TechstrongGang #AI #Salesforce #Cybersecurity #AgenticAI

The first segment looks at what happens when agentic coding tools get too much power in production. Reports say the PocketOS incident involved deletion of a production database and recent backups after an AI agent used a destructive Railway API path; Railway later recovered service quickly and patched the endpoint, but the episode exposed major questions around permissions, rollback design and human oversight.

The second segment turns to aviation. The FAA’s broader modernization push includes new software intended to improve airspace management and reduce disruption, while SMART-style planning tools are being positioned as a move from reactive to predictive operations. That raises the obvious question: where should AI sit inside a safety-critical system, and who owns accountability when predictive systems shape operational decisions?

The final segment focuses on phishing at industrial scale. The FBI says the W3LL phishing kit was sold for about $500, helped criminals impersonate trusted login pages, captured credentials and session data to bypass MFA, and was tied to over $20 million in attempted fraud; investigators also say W3LLSTORE facilitated sales of more than 25,000 compromised accounts from 2019 to 2023.

#TechstrongGang #AI #Cybersecurity #AIAgents #Phishing

 AI DETENTE — OpenAI and Microsoft have rewritten their partnership. OpenAI gets multi-cloud freedom (AWS, Google Cloud), Microsoft locks in long-term IP and revenue rights, and the Azure exclusivity that defined 2023-2025 is officially over. We unpack who actually won.

 COPILOT LIMITS — GitHub paused new sign-ups for Copilot Pro, Pro+ and Student plans on April 20 and tightened weekly usage caps. Agentic coding sessions are burning 500,000+ tokens vs. ~100 for old-school autocomplete — and the flat-rate pricing model just broke. What this means for every other AI coding tool in 2026.

️ PROJECT GLASSWING — Microsoft is embedding Anthropic's Claude Mythos Preview into its Security Development Lifecycle. Mythos already found a 17-year-old FreeBSD remote-code-execution flaw (CVE-2026-4747) autonomously during preview. Anthropic has privately warned U.S. officials that this same capability in attacker hands makes large-scale cyberattacks "significantly more likely" in 2026. Defense vs. offense — who's winning the AI security race?

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️ TODAY'S PANEL

Jon Swartz — Host, Techstrong TV

Mike Vizard — Editor-in-Chief, Techstrong Group

Kate Scarcella — Chief Architect, Cybersecurity, Trusted AI

Sid Nag — VP Analyst, Gartner

Anne Ahola Ward — CEO, CircleClick

Alex Porter — CEO, Lunar Outpost

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 SOURCES

OpenAI–Microsoft partnership reset: https://openai.com/blog

GitHub Copilot pause announcement: https://github.blog

Microsoft Security Blog on Project Glasswing

Anthropic Project Glasswing

CVE-2026-4747 (FreeBSD NFS RCE): https://nvd.nist.gov/vuln/detail/CVE-2026-4747

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 JOIN THE CONVERSATION

Drop your take in the chat — agree or disagree with the panel? We read live comments on air.

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#TechstrongGang #AINews #OpenAI #Microsoft #Anthropic #ClaudeMythos #GitHubCopilot #AICoding #Cybersecurity #ProjectGlasswing #SDLC #DevSecOps #AgenticAI #CloudComputing #EnterpriseAI #TechNews #LiveStream

The panel dives into Google’s reported $40 billion bet on Anthropic, what it says about the escalating AI platform war and why the infrastructure stakes keep getting bigger. They also unpack Claude Code’s three-regression quality crash, raising fresh questions about reliability, performance drift and trust in AI-assisted software development.

From there, the gang looks at GitHub’s Copilot growth slowdown as AI coding economics come under pressure, before closing on the AIOps fatigue emerging at QlikConnect 2026 and what it reveals about enterprise expectations for AI in operations.

This episode connects the money, the models and the operational reality behind today’s AI development stack.

#TechstrongGang #Anthropic #ClaudeCode #AIOps #EnterpriseAI

In this special edition of Techstrong Gang, Alan Shimel and Mike Vizard are joined by Steven Vaughan-Nichols live from Prague to break down the state of open source in the AI era, why sovereignty has become a defining issue in enterprise infrastructure and what these shifts mean for platform teams trying to build with flexibility and control.

The conversation explores whether AI will strengthen open source or overwhelm it, why agentic systems may drive even more open source code consumption and why enterprises increasingly want freedom not just in software, but in the platforms, models and infrastructure they choose to run.

From Linux and Kubernetes to AI factories, sovereignty and the next phase of enterprise platform strategy, this episode captures the biggest themes shaping SUSECON as the event heads into its final stretch.

Featuring Alan Shimel, Mike Vizard and Steven Vaughan-Nichols.

On Day 3 of our live coverage from SUSECON 2026, Alan Shimel and Mike Vizard are joined by Stephen Dickens of HyperFrame Research and Christine Buccio of SUSE to break down the biggest storylines of the week: sovereign AI, the new partner ecosystem, the VMware/Broadcom fallout, and the uncomfortable truth facing every platform engineer, SRE, and VMware admin on the floor.

SUSE CTO Dr. Thomas Di Giacomo kicked the day off with a blunt message: IT leaders are "one executive order away from becoming a hostage." Our gang unpacks what that means for infrastructure sovereignty, AI factories, open source, and the chaos of trying to operationalize AI in production.

In this episode of Techstrong Gang, recorded live from Prague, Alan Shimel and Mike Vizard break down the biggest Day 2 themes from SUSECON, including the rise of digital sovereignty, hybrid cloud expansion, AI factory strategy and the growing demand for alternatives to VMware-era lock-in.

The conversation explores how SUSE is positioning itself around five strategic priorities, including digital sovereignty, hybrid cloud, converged application workloads, AI workloads and edge computing. Alan and Mike also dig into SUSE’s Nvidia AI Factory alignment, its Oracle marketplace expansion and why those moves matter in the bigger race for enterprise relevance.

But the deeper story is about control. Across Europe, enterprises and public sector buyers are signaling that they want more freedom of choice, less dependence on outside providers and more say over the platforms running their infrastructure and AI.

From open source heritage and virtualization strategy to the pressure Broadcom has created in the market, this episode looks at why sovereignty is becoming one of the defining forces in enterprise tech.

#TechstrongGang #SUSECON #DigitalSovereignty #SovereignAI #HybridCloud

On this episode of Techstrong Gang, Alan Shimel, Mike Vizard, Jon Swartz and Fred Wilmot break down the battle between leading multi-agent AI frameworks, the Kubernetes security practices that still matter most, and the DevOps trends shaping 2026.

The conversation starts with the growing divide between CrewAI, LangGraph and AutoGen — three frameworks taking very different approaches to multi-agent orchestration. From role-based teams to graph-driven state management to conversational collaboration, the panel explores what these architectures reveal about how enterprise AI systems will actually be built and governed.

From there, the focus shifts to Kubernetes security, where identity, RBAC, kubelet hardening, Pod Security Standards, NetworkPolicies and protecting etcd remain central to reducing risk in production environments. The discussion looks at what teams still get wrong, and what “least privilege” really means when platform complexity keeps rising.

Finally, the episode turns to DevOps in 2026, where platform engineering, GitOps, IaC, DevSecOps and AIOps are increasingly converging into a more automated but more tightly governed operating model. The bigger theme running through all three stories: modern infrastructure is moving from automation to governed autonomy.

If you’re building AI systems, securing Kubernetes clusters or trying to understand where DevOps is headed next, this episode connects the dots.

#TechstrongGang #AIAgents #Kubernetes #DevOps #PlatformEngineering

The panel unpacks how anti-AI sentiment is escalating beyond online backlash, what Anthropic's position says about military boundaries for frontier models, and why security teams still struggle to see which AI agents are active, what they can access and how they behave once deployed.

Alan Shimel, Jon Swartz, Andi Mann, Mike Vizard,  and JP Morgenthal break down what these shifts mean for enterprise operators, security leaders and AI governance.

The gang then turns to a research effort aimed at enabling AI agents to train themselves, before breaking down a report suggesting that Meta may soon pass Google in digital advertising revenue. From AI-driven vulnerability discovery to self-improving agents and a shifting ad power balance, this episode of Techstrong Gang covers three major signals of where the market is heading next. 

On this episode of Techstrong Gang, Alan Shimel, Mike Vizard, Mitch Ashley, Katie Scarcella, Robert Reeves and Garima Bajpai dig into the latest CNCF survey data, the growing concern around Google’s AI-powered answers, and Gallup’s sobering findings on how Gen Z is reacting to the AI era.

The conversation explores why “90% accurate” AI can still create massive downstream problems at scale, what Google’s publisher pivot could mean for the future of the web, and why younger audiences may be losing confidence in the promises surrounding artificial intelligence.

From platform engineering reality checks to AI trust and adoption challenges, this episode looks at what happens when industry hype runs ahead of operational readiness.

#TechstrongGang #PlatformEngineering #AI #DevOps #GenZ

Then they unpack Google DeepMind’s “Agent Trap” paper that shows how adversarial web content hijacks tool-using AI agents unless security teams harden context, retrieval and human-in-the loop reviews. Finally, they go on a Nutanix field trip as .NEXT headlines a NetApp alliance that turns ONTAP into the data backbone for Nutanix Cloud Platform, targeting VMware refugees and future container rollouts.

Then they unpack Intel’s quiet decision to bolt its foundry muscle to Elon Musk’s Terafab alliance as Tesla, SpaceX and xAI race to build a terawatt of compute on U.S. soil. Finally, they interrogate the rise of AI-filtered “ghost jobs” that are freezing mid-career talent out of the market, forcing pay cuts and resume black holes.

#TechstrongGang #AI #Quantum #Semiconductors #Jobs

Then the gang digs into Anthropic’s unprecedented industry alliance around a restricted cybersecurity model built to find software vulnerabilities before attackers do—and why some AI may be too powerful to release broadly.

Finally, the conversation turns to new Futurum Group research showing organizations are preparing to make major observability investments as AI systems, automation and modern application environments raise the stakes for visibility, resilience and control.

We explore the growing AI governance gap that’s slowing adoption, how agentic AI is moving deeper into real-world operations from security workflows to deployment pipelines, and why GitOps is rapidly becoming the standard for delivering code at scale. The conversation also dives into how AI-driven automation is connecting tools across the enterprise stack, the emerging collision between AI, quantum risk, and digital trust, and the new strategies organizations are using to gain better visibility, control, and resilience over their data.

This isn’t theory—it’s a real look at what’s breaking, what’s evolving, and how teams are adapting right now.

If you're building, securing, or scaling AI, this episode gives you the reality behind the hype.

First, the Gang explores what happens to open source software in an era where any developer can use artificial intelligence to generate an equivalent alternative, raising new questions about software value, innovation and long-term community impact.

Then the panel looks at Google’s reported move to use natural gas to power data centers running its AI models, highlighting the growing tension between clean energy ambitions and the infrastructure demands of the AI boom.

Finally, the conversation turns to Amazon’s reported interest in acquiring Globalstar as it looks to accelerate its satellite communications ambitions and expand its strategic position in global network infrastructure.

They break down the 2026 MCP roadmap and what “scaling agentic AI” really demands from ops teams, assess the Linux Foundation’s plan to make the x402 protocol the micropayments layer for autonomous agents, and react to LexisNexis research that says synthetic identities are already infiltrating hiring pipelines.

First up: developers leaning on Anthropic’s Claude Code are running out of tokens mid-sprint, forcing teams to rethink how they budget AI-assisted workflows. 

Then the Gang looks at the construction crunch hitting hyperscale data centers as electricians, pipefitters and HVAC crews struggle to keep pace with AI buildouts. 

Finally, they break down the unanimous Supreme Court ruling that shields Cox Communications—and other ISPs—from billion-dollar piracy claims when subscribers share bootleg content.

#TechstrongGang #AI #DataCenters #CyberLaw #AppDev

They also explore the Sanders/AOC call for a national data-center moratorium and Google’s Q-Day 2029 warning, laying out how energy politics, sustainability mandates, and post-quantum cryptography planning now collide for anyone running cloud infrastructure.

break down how Microsoft and Anthropic are bolting multi-model

critiques onto Copilot so enterprises can trust every response. 

They also dig into new telemetry showing bots and autonomous agents now

outnumber humans on the public internet, and the cascading Trivy

supply-chain attack that just jumped into Checkmarx and LiteLLM.

The gang examines Yann LeCun’s $1 billion bet on world models as a path toward superintelligence, a troubling new study on how AI chatbots can act as accelerants for harm in planning violent attacks, and why IT teams still struggle with visibility despite major investments in monitoring and observability.

From next-generation AI architectures to chatbot safety risks to persistent blind spots in enterprise infrastructure, this episode explores where innovation is moving fast and where control is still falling behind.