Sean Michael Kerner

@techjournalist.bsky.social

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It's.Always.DNS. but sometimes the DNS attacks are a bit ..weirder than I expect. have you ever heard of 'dangling CNAME' attack? (i honestly hadn't but apparently it's a thing...). Oh and reverse DNS attacks using the .arp domain? Seriously? www.networkworld.com/article/4203...

From dangling DNS records to reverse DNS gaps, attackers find new blind spots

Among 120 million newly registered domains, more than 22% were weaponized or showed threat characteristics, according to Infoblox's 2026 Threat Landscape Report.

networkworld.com

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The open-source Malloy semantic modeling language gets some 'Credible' backing to build out AI context. "It's the same pain point people have had for 30 years, the lack of governed data analysis," Kyle Nesbit told VentureBeat in an exclusive interview. venturebeat.com/data/57-of-e...

Credible bets open source on AI context layer | VentureBeat

A VB Pulse survey of 101 enterprises found most AI agent errors trace to missing context. Credible raised $10M to build a portable, open-source alternative.

venturebeat.com

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venturebeat.com/data/at-vb-t... At VentureBeat Transform 2026, Zillow and Glean described how they built AI architecture meant to carry context across that entire journey — and why context, not raw data, turned out to be the harder problem to solve.

Why Zillow's AI ROI numbers actually hold up | VentureBeat

Zillow's SVP of Engineering says its AI ROI claims are credible only because of a DORA metrics baseline built years before the company's AI rollout began.

venturebeat.com

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venturebeat.com/orchestratio... This session from VentureBeat Transform was next level insights. Sometimes you learn more from what fails...and the value of real customer feedback. "They straight up tell you, 'You suck. I hate this. This is not right,'" Nhung Ho said.

Inside Intuit's AI agent orchestration rebuild | VentureBeat

Intuit's AI VP explains why natural-language handoffs broke its agent orchestration layer, and why rebuilding twice in four months was the fast path.

venturebeat.com

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This was a particularly insightful session from VentureBeat Transform with panelists from LinkedIn, Zendesk and Walmart. "Build for independence, whether it's a frontier model of today versus an open source model of tomorrow" venturebeat.com/data/agents-...

AI agent infrastructure: 3 enterprise fixes | VentureBeat

LinkedIn rebuilt Kubernetes for agent speed, Walmart tackled duplicate agents, Zendesk its data pipelines: three fixes for enterprise AI agent infrastructure.

venturebeat.com

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I've been writing about Couchbase since its first release (when Membase and CouchOne merged in 2011 ) 15 years later..the same basic idea, a distributed memory caching capability (that was membase) is more relevant than ever for agentic AI memory. venturebeat.com/data/ai-agen...

Couchbase brings persistent agent memory to the edge | VentureBeat

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when cloud connectivity drops.

venturebeat.com

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Particle entanglement, superposition & teleportation are super interesting to me. Einstein famously dismissed such phenomena as 'spooky action at a distance' Connecting those 'spooky actions at a distance' is what quantum networking does and it's almost here www.networkworld.com/article/4180...

Cisco sees quantum networking as the future of networking

'Quantum networking has many practical and commercial use cases in the classical world today,' said Ramana Kompella, head of Cisco Research and Cisco Fellow, in a session at Cisco Live 2026.

networkworld.com

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venturebeat.com/data/ai-agen... Enterprise AI agents have a new production failure mode, and it is not the model. As enterprises move from single-layer RAG to hybrid retrieval architectures, the same underlying data produces different answers depending on which agent asks the question.

Why AI agents give confident wrong answers

Snowflake's Horizon Context and Cortex Sense give agents a shared definition of business logic, targeting hybrid retrieval failures at the catalog layer.

venturebeat.com

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venturebeat.com/data/d-and-b... For over 180 years Dun & Bradstreet has been building a database of businesses. When customers started pushing AI agents into workflows, the Commercial Graph that had reliably served nearly 200,000 customers globally became a problem. So D&B rebuilt.

AI agent identity: D&B rebuilt its 642M-company graph

D&B rebuilt its Commercial Graph of 642 million businesses so AI agents can verify business identity in real time — without breaking multi-agent workflows.

venturebeat.com