New Confluent research reveals that 9 in 10 leaders say decisions are speeding up, with AI raising the pressure for instant calls and rushed decisions at the top of UK businesses.
Every engineering team is onboarding AI agents. Most are doing it without a governance model - static API keys, no audit trail, no way to revoke access if something goes wrong. Join us on April 15th as we go live on the topic everyone is talking about but few are solving: how to govern AI agent access to streaming data.
AI agents need access to your systems. But are you sure they're accessing them securely? In this video, Tun @DataSurfer breaks down the way most teams give AI agents access today: static API keys, shared credentials, no audit trail. It's a disaster waiting to happen, but what exactly can teams do about it?
The average grocery store has 65 to 80% inventory accuracy. One in 10 products is out of stock at any moment. For an industry operating on razor-thin margins and competing against digital-native challengers, that data gap is existential. In this episode, Kevin Johnson, CEO of Focal Systems, sits down with Joseph to explore how his team is using computer vision, data streaming, and stateful stream processing to close that gap at scale.
Agents need real access to do real work - but when MCP connects your AI to production systems like Kafka, who controls what it can touch? OAuth 2.1 is emerging as the answer.
What happens when a security intelligence company decides that data contracts aren't optional, they're the foundation? For SecurityScorecard, that decision changed everything: how teams share data, how pipelines are built, and how quickly a new engineer can ship production-grade work on day one.
45 million vehicles, 90 markets, 12+ iconic brands, each with its own data silos, standards, and infrastructures. In this episode, Chetan Alatagi, Solution Architect reveals how they transitioned from fragmented legacy ETL silos to a Unified Data Ecosystem—a global data streaming highway that turns vehicle telemetry into real-time value.
2025 was vibe coding. 2026 is Agentic Engineering - and the security rules haven't caught up. AI agents now have direct access to your databases, your APIs, your Kafka clusters. The protocol giving them that access is MCP. And most teams have no idea how exposed they are. We are fixing this problem with OAuth 2.1.
At Lenses, our goal has always been to help organizations get the most out of their streaming data. We started with visibility into the Apache Kafka, moving up to the part that drives value, the application layer and now the Agentic layer. Lenses 6 moved us into a multi-Kafka world, as increasing, our clients aren’t just running on one type of Kafka anymore, and as sovereign cloud becomes increasingly topical (no pun intended) this is only increasing.
Jonas Best & Patrick Polster Kafka migrations are one of the riskiest infrastructure projects a platform team can take on. Miss a dependency and a downstream app starts reprocessing events it already handled leading to breaking SLAs and eroding trust with application teams. Migrate without visibility and you risk a major production issue. The instinct is to reach for a replication tool and call it done. But replication is only one piece of the puzzle.