This week, Anthropic shipped its first public release of a large language model, Fable 5, based on its Mythos 5 frontier model. Mythos has been a hot topic of discussion in the tech industry, given it excels at finding software vulnerabilities – making it both a potentially useful resource for defenders and a potential accelerant for attackers. Todd Thiemann, principal analyst at Omdia, shares insights from his research into identity management and data security for AI and how enterprise agentic AI security should meet the Mythos moment.

Featuring: Todd Thiemann, principal analyst, Omdia

In today’s episode, we’ll cover…

• Mythos 5, Fable 5 and their cybersecurity implications
• Fighting AI attacks with AI defenses
• Balancing the security risks of using AI and of being vulnerable to AI
• How AI governance might factor into AI ROI

And more!

References:

• Cisco agentic AI security push faces enterprise trust gap
• Identity security for AI agents: The proliferation challenge
• Omdia Research Report: AI Agents and Identity Security: How Enterprises Are Rewriting the Rules
• Anthropic's Mythos raises the stakes for security validation

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Enterprises are grappling with growing AI infrastructure demands, including substantial growth in network traffic generated by AI agents, increasingly complex network architectures and new frontiers in system design for reliability and resilience. Cisco's data center and internet infrastructure leader takes a deep dive into how large companies – including Cisco itself – are addressing these issues, and preparing for the next 6 months of rapid AI development.

Featuring: Kevin Wollenweber, senior vice president and general manager of data center and internet infrastructure, Cisco.

In today’s episode, we’ll cover…

• A new partnership with Quali for Stack Automation
• Building enterprise trust in AgenticOps
• AI infrastructure outlook over the next 6 months

And more!

References:

• Cisco Cloud Control unites AgenticOps for IT infrastructure
• Cisco Live 26: Networks the key in post-Mythos world
• Cisco: AI driving a 'network supercycle'

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

At Cisco Live North America 2026, updates were unveiled that aim to reshape how enterprises approach network management and security, including Cisco Cloud Control. Stay tuned for more insights as veteran reporter Beth Pariseau digs deeper at Cisco Live.

A computer science professor at Carnegie Mellon who is also the CEO, co-founder, and chairman of the board at a tech company has a uniquely multidimensional view of how recent developments relate to historical system design principles. He shares that perspective in this interview, from how Nvidia's NemoClaw aligns with the hourglass concept of system security to how its focus on the file system mirrors a longstanding debate in computer science.

Featuring: Hui Zhang, co-founder, CTO and Chairman of the Board, Conviva

In today’s episode, we’ll cover…

• Three significant aspects of NemoClaw
• Why NemoClaw is not the final piece of the puzzle
• The need for an end-to-end standard AI agent governance framework

And more!

References:

• Nvidia NemoClaw, JFrog shore up OpenClaw security
• NanoClaw AI agents find a home in Docker Sandboxes
• OpenClaw and Moltbook explained: The latest AI agent craze

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

How can enterprise IT buyers choose among the plethora of AI automation tools now on the market from major vendors? Can they trust AI agent-driven infrastructure automation yet? Should they? Steven Dickens, CEO and principal analyst at HyperFrame Research, offers his answers to these questions and more from the show floor at Dell Technologies World.

Featuring: Steven Dickens, CEO and principal analyst, HyperFrame Research

In today’s episode, we’ll cover…

• Dell vs AI infrastructure competitors: size matters
• The rollout of Dell Automation Platform
• The agentic AIOps dilemma for IT organizations

And more!

References:

• Dell AI Factory gets rack-scale infrastructure refresh
• Red Hat AI updates target mounting cost, sovereignty worries
• AI assistants for IT ops: Select and govern operational bots

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

During Dell Technologies World this week, Dell touted that its AI Factory with Nvidia has shipped to 5,000 companies in a little over two years. TechTarget senior news writer Beth Pariseau catches up with Dell SVP Varun Chhabra to break down who those customers are, how they're counted, how their AI workloads have evolved, and how Dell expects the AI Factory market to look in the future.

Featuring: Varun Chhabra, senior vice president of product marketing, Dell Technologies

In today’s episode, we’ll cover…

• "Desktop to data center" AI support with new NemoClaw integration
• The importance of data management to avoid bottlenecks in AI
• Lessons learned for enterprises transitioning from token consumers to token producers.

And more!

References:

• The AI factory model: What CIOs need to know
• Red Hat, Nvidia tighten integration with AI Factory
• AWS AI Factories target hybrid cloud AI infrastructure

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Can enterprises replace costly cloud-hosted models with self-managed, open-weight AI models to reduce AI inference costs? What are the consequences if they don't? A distinguished engineer working on emerging technologies in Red Hat's office of the CTO discusses his team's quest to answer these questions and his outlook on the future of enterprise AI.

Featuring: Stephen Watt, Distinguished Engineer and Vice President, Office of the CTO, Red Hat

In today’s episode, we’ll cover…

• What the 'cloud paradox' and the 'agentic paradox' have in common.
• Reinforcement learning and open weight models as a path to a hybrid cloud AI world.
• The Red Hat research team's experiments with AI automation.
• Tools in development to facilitate hybrid cloud AI inference deployments.

And more!

References:

• Red Hat AI updates target mounting cost, sovereignty worries
• Red Hat, Nvidia tighten integration with AI Factory
• Red Hat amps up open source AI infrastructure pitch

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

TechTarget senior news writer Beth Pariseau breaks down the major themes at Red Hat Summit in Atlanta, including private AI, sovereign AI, infrastructure automation, and agentic automation.