You can't govern an AI agent with a prompt it's allowed to ignore.
Most governance stops at the application boundary. Agents don't. Every handoff is a governance gap.
The Redpanda Agentic Data Plane closes them: one governed layer, every request.
See it in action ➡️ https://t.co/xderuSytli
Want to hear how a global enterprise gets agentic AI into production? 🚀
We’re excited to welcome @GlobalFoundries to the Agentic Data Summit! On December 9, SVP & CIO Vishal Mehra will share how one of the world’s leading chipmaker is putting AI agents to work with Redpanda’s Agentic Data Plane: why they chose Redpanda, what they built, and the results so far.
📅 Dec 9 | 8:30 AM–2:00 PM PT
Grab your spot 👉 https://t.co/tE9AY38xi9
Our AI IT assistant answered 36% of employee requests on its own in its first week. No tickets, no analysts.
In our latest blog post, Michael Golfi explains how we built it in Microsoft Teams on the Redpanda Agentic Data Plane while making sure IT still owns the forms, permissions and approvals behind every request.
Ready to see how it’s done? 👉 https://t.co/lgxKLrIS2M
If three teams have built the same agent, that’s not innovation. It’s sprawl.
Build the capability once. Govern it in one place. Let every team call it, whether the caller is a chatbot or a pipeline running at 3 AM with nobody watching.
Redpanda's Daniel Takabayashi shows how to do it with the Redpanda Agentic Data Plane. 👉 https://t.co/7La49ZtdAL
We’re thrilled to welcome @Kalshi to the Agentic Data Summit lineup! 🎉
When news breaks, Kalshi’s markets react in milliseconds. Every trade has to land the moment it happens, with no lag and no second chances.
On December 9, Batu Balimtas, Member of Technical Staff at Kalshi, takes the stage to give you and your team an inside look at how one of the fastest-moving platforms in finance builds infrastructure that keeps up with the world.
Save your spot 👉 https://t.co/tE9AY38xi9
Your strategy is only as fast as your slowest data pipeline.⚡
In quant trading, every millisecond of delay and every dropped message shows up as slippage, missed fills, or decaying alpha. AI now raises the stakes further: models retrain on live market data, and agents are moving into research, risk, and surveillance.
Our new handbook shows how @NYSE, @jumptrading, @AlpacaHQ, @StoneX_Official and @zafin run real-time streaming and agentic AI in production.
Download the handbook 👉 https://t.co/KS923830gZ
Redpanda’s Josh Purcell joins Daniel Davis and Dustin Gouker at NEXTPredict NYC to tackle the question: predictable latency, massive fan-out, and clean recovery under real load are the key. 📈
🗓️ Thu, Oct 22 · 12:30 PM ET
📍 Hudson Yards, NYC
Come say hi 👋 https://t.co/qVYUPKFrau
Your data has a shadow. And that’s a good thing. 🕶️
Next week on Data & AI Weekly, Redpanda’s Peter Corless and Trevor Blackwood dig into Shadowing. Join live at 9 a.m. PT to see real-time data replication keeps production running through disaster recovery, migrations, and more. Plus a look at how leading enterprises are already using it.
Sign up once, catch every episode 👉 https://t.co/7Nw3HzB8RF
We just shipped @redpandadata support for oleander 🌸
You can now stream Redpanda topics into your oleander Iceberg catalog using a Redpanda Connect pipeline.
With this integration, you get:
→ Streaming data. Query-ready in Iceberg
→ One stream. Multiple open compute engines.
→ Secure agent access to streaming data via MCP.
Learn more on the integration and how to get started 👉 https://t.co/Zehy6qFRdO
#DataCompute #ComputeRouting #MultiEngine #MultiEngineDataWarehouse #ApacheIceberg #Redpanda
See what’s next. 👀
The Agentic Data Summit agenda just dropped: streaming at scale, agent guardrails, Kafka-to-Redpanda stories, the roadmap, and a live AMA with leadership.
Free to attend. Stream live from wherever you are → https://t.co/3Wyv9VGmjP
CoreBreak proved model-level guardrails fail the moment you skip the model.
Next week, Redpanda's Tyler Akidau and Marc Millstone break down the attack, the fix and where guardrails really belong.
📅 Tuesday, October 20 at 9:30 a.m. PT
👉 Join us live: https://t.co/mXaIhcMeWb
Would you hand a brand-new hire root access and trust them to enforce your security policies on day one?
That’s what we’re doing when we trust AI agents to carry access rules and data classifications themselves.
@AIconference San Francisco, Redpanda VP of Engineering Piyush Agarwal explained why that’s risky and showed a better approach. Redpanda’s Agentic Data Plane uses out-of-band metadata channels to enforce governance entirely outside the agent’s read/write path. It scopes data access going in, constrains actions during execution and captures tamper-proof audit trails coming out.
Watch the full talk: https://t.co/SCrXsYjFIz
Tomorrow, someone might ask who owned the decision your AI agent just made.
Will you have an answer? 🤔
Redpanda's Melissa Czapiga and Daniel Takabayashi go live tomorrow October 13 at 9 a.m. PT on Data & AI Weekly to cover what you need in place before an auditor, customer or board member asks.
🔗 Grab your spot: https://t.co/7Nw3HzB8RF
Software used to make you adapt to it. Now Agents adapt to you.
@usekernel CEO Catherine Jue on why 99% of the web wasn’t built for agents, and why live context changes everything.
🎧 The latest episode of "Hello, Agent!" is now live: https://t.co/3aaRPeCIsf
Manufacturing can't pause for a migration. These 4 didn't have to:
@GlobalFoundries: decisions in seconds, not hours
@RangeEnergy: went live in 30 min
Rivian and Volkswagen Group Technologies: escaped a cluster-killing Kafka bug
@johnsoncontrols: $1.6M saved/yr
Learn more: https://t.co/aPyr5Hz6co
Gartner expects weak accountability, not model performance, to be the top cause of AI failure through 2028. Is your organization doing what it can to prevent it? 👀
On the next episode of Data & AI Weekly, Melissa Czapiga & Daniel Takabayashi cover what your team should have in place before someone asks who's accountable.
Set your reminder 🔔 https://t.co/WInT2pztog
A lot of teams run streaming in one system and analytics in another, then add AI agents wherever they fit. It works, but every handoff adds latency, cost, and one more thing to manage.
In December, we're spending a day showing how running all three on one platform can help your team work smarter. Hear from the engineers, architects, and Redpanda customers who are seeing the difference.
Grab a free spot and join from anywhere → https://t.co/tE9AY38xi9
This made our whole week 🫶
If you've been meaning to try Redpanda, here's your sign: Kafka-compatible streaming built for real-time data, and now powering AI agents.
Get started in minutes and tell us what you build 👇
Last chance! 🗣️ Data and AI Weekly goes live tomorrow at 9 a.m. PT.
Founding members of the new Streamhouse Working Group join Redpanda's Peter Corless to break down what a streamhouse architecture needs.
🛟 Save your spot: https://t.co/mXaIhcMeWb
AI agents escaped a sandbox and hacked Hugging Face. Nobody noticed until Hugging Face said so.
A kill switch on the model wouldn't have helped. Your agent boundary has to live outside the model, and you have to own it.
See why 👉 https://t.co/UiH9HvADAQ