Immuta

Real-time systems move fast. Data access… usually doesn’t. That gap gets a lot more obvious when AI agents enter the picture. They don’t wait for approvals or tickets, they just stop when access isn’t there. → ow.ly/QFlo50YCkaE

Enterprises are trying to find the right balance with AI. In this video, Matt Carroll talks through why this tension exists and what it takes to find the middle ground, where access can move at the speed AI requires without losing control.

This report highlights a growing concern for security leaders: organizations are struggling to manage how AI agents are identified, authenticated, and governed as they interact with data. Worth a read: ow.ly/xRAk50YBMPa

We’re heading to Munich for AI & Data in Pharma & Healthcare (April 23–24) to talk about: → governed data access at machine speed → for humans and AI agents If you’re there, let’s connect. ow.ly/Oqcs50YBNaq

The next phase of enterprise AI won’t be limited by models. Matt Carroll breaks down why provisioning is becoming the real constraint, and why access models built around tickets and approvals can’t keep up. Read more ➟ ow.ly/T65h50YB96L

AI agents don’t submit tickets. So why is data access still built that way? That’s the shift behind Agentic Data Access, and it’s starting to show up in the broader data conversation. We appreciate the mention from Solutions Review this week! ➡️ ow.ly/TAWS50YAL9x

The future of data depends on fast, responsible access, and we continue to grow the team that makes it happen. View all of our open roles here: ow.ly/Pa4050Yz6Yp

AI agents operate at machine speed, while most access models still assume human pace. That gap is where things break. When access decisions can’t keep up, systems stall or controls get loosened just to keep things moving. Unfortunately...neither scales. ow.ly/BTIY50Yz6rT

What does a modern provisioning model look like? We’re breaking that down with Microsoft and Warner Bros. Discovery on March 31. Join us: ow.ly/80iY50YyMhz  #DataProvisioning #AI #DataGovernance #AIGovernance #DataSecurity

AI agents are starting to show up in places most teams didn’t expect. It’s why we’re building towards Agentic Data Access — a model where access is provisioned dynamically, based on policy, intent, and context, not just identity. Learn more → ow.ly/4JvX50YyLVY

Today, we’re thrilled to announce support for Agentic Data Access, extending the Immuta Data Provisioning Platform to deliver governed access at the speed these systems actually operate. Learn more → ow.ly/hRPM50Yy1RF

AI is your fastest growing class of data consumer. But most provisioning models still assume a human clicking “submit request.” Tomorrow, we’re sharing what changes when AI becomes a first-class identity in your data ecosystem. ow.ly/XGPB50YxH00

AI agents are a new class of data consumer, but most governance models weren’t built for this. Static permissions and ticket-based workflows slow everything down. They weren’t designed for systems that move at machine speed. ow.ly/11Xy50YwUjO

What makes a company feel different? For Field CTO, Paul Myres, it comes down to one thing: people. That culture is what makes it possible to keep pushing forward and solving hard problems together. ow.ly/Qlmb50YwU3g

In this piece from NoJitter, Immuta CEO Matt Carroll shares why improving data quality isn’t just a data management exercise, it’s critical to making agentic AI reliable in practice. Read more → ow.ly/rYrZ50YweXb

AI is changing how data gets accessed. Fast. What used to be occasional requests are now continuous. More people are asking for data, and increasingly, AI systems are too. The pressure doesn’t show up in models first. It shows up in access. ow.ly/VIwu50YweQH

In this blog, we break down why traditional models struggle when requests move to machine speed, and what changes when access decisions move from manual approval to policy-driven provisioning. ow.ly/KKFn50YvWo7

When organizations rely on Teradata for mission-critical analytics, governance can’t sit somewhere else in the stack. It needs to operate where the data actually lives. Claire Foster explains why the Immuta and Teradata integration matters in practice. ow.ly/baKc50YuYq2

When governance travels with the data, things start working differently. Policies are defined once and enforced consistently across warehouses, BI tools, notebooks, catalogs, and AI systems. That consistency makes governance easier to operate & trust. ow.ly/NKNk50YsjUR

This look at how Booking.com is building more connected travel experiences highlights the real operational challenge: coordinating data across systems, teams, and AI workflows without losing governance. Worth a read → ow.ly/ztBI50YsjI3