Collibra blog: insights on data governance and AI the company blog of Collibra: latest posts and feed
Collibra · Company blog · 17 a month · last post Oct 14, 2026 · Active
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Latest 200 of 464 on fileProduct and companyOct 14 10d10 days agoEvolving from data governance to AI decision governanceData governance taught us how to govern the information behind a decision. Now, AI is forcing us to govern the decision itself.AI and agentsOct 14 10d10 days agoContext is the new IP: Collibra is where enterprises come to protect itThere’s a context crisis nobody warned you about. While building a context layer for an AI agent could look like a deceptively simple undertaking, what might sound like a low-effort weekend project can quickly bottleneck around sync...Product and companyOct 9 2w2 weeks agoAre you trusting your AI today?The question most AI leaders cannot answer Most organizations can describe their AI strategy. Far fewer can answer a simpler question: what AI is running in production right now, who owns it and can you prove it is under control?AI and agentsOct 8 2w2 weeks agoYour AI governance program was built for models that answer. Your agents actMost AI governance programs were designed around a single moment: the review. A model gets documented, assessed, approved and shipped. Everyone signs. The binder closes. That worked when AI mostly predicted things.ResearchOct 8 2w2 weeks agoData governance for AI: The key life science and biotech prescriptionThere’s no debate. Today, pharmaceutical, biotech and life sciences companies are making AI a strategic priority. The ambition is clear and even heroic: Accelerate drug discovery, improve clinical trial design, automate routine tasks...AI and agentsOct 6 2w2 weeks agoCollibra achieves AIUC-1 certification: Holding ourselves to the standard we ask of othersAI agents are entering production faster than organizations can govern them. According to Deloitte's 2026 State of AI in the Enterprise survey, 74% of organizations expect to be using agents at least moderately by 2027, yet only 21% have a...AI and agentsSep 23 4w4 weeks agoAgent Contracts: Set the boundaries for your entire AI agent fleetAI agents create a new control challenge. They don’t just generate outputs: they can access enterprise data, use tools, interact with systems, and take actions autonomously.AI and agentsSep 23 4w4 weeks agoGuardian Agents: Keep AI agents in control at runtimeAI agents are moving from experimentation into production, and the stakes are rising fast. An agent can access sensitive data, call tools, interact with enterprise systems, and take actions autonomously.Product and companySep 23 4w4 weeks agoIntroducing Collibra Maestro: Automate governance operations, turning days of manual work into minutesAgentic AI is scaling faster than most governance teams can keep up. A recent found that nine in ten organizations are actively deploying autonomous AI agents.ResearchSep 15 5w5 weeks agoWhen past stops predicting future: why insurance risk modeling needs a new data and AI foundationEurope’s record-breaking summer heat reminded me the world is changing fast. A West Coast friend mentioned they now had four seasons: ‘Winter, Spring, Summer and Fire.’ For over a century, actuarial science has run on a simple assumption...Product and companySep 15 5w5 weeks agoContextual gravity: Why enterprise AI will standardize on the layer that can't be replicatedWhen it comes to building, deploying and running technology, data has always had gravity.We can observe this in the way workloads get pulled toward whatever platform holds the storage.Machine learningSep 14 5w5 weeks agoEscaping CPG’s small package: Privacy, personalization and data reckoningThe regulatory ground has shifted fast for Consumer Packaged Goods. In, according to Gartner, and the pace is accelerating.Product and companySep 14 5w5 weeks agoActivate metadata through expanded outbound integrationsEnterprises have spent years building up metadata: business definitions, classifications, ownership, quality scores, certification decisions. But the value isn't in accumulating it.AI and agentsSep 11 6w6 weeks agoData Product Agent: Turn a cataloged table into a governed data productToday, building a Data Product means opening three asset pages and filling each by hand. The Data Product, its Ports and the Data Contract get created separately, in whatever order the producer remembers, with no shared draft connecting...AI and agentsSep 10 6w6 weeks agoContext vs control: Why you need bothEnterprise AI conversations tend to focus on one of two priorities. One says the priority is context: give agents better data, clearer definitions, a real understanding of the business.AI and agentsSep 9 6w6 weeks agoYour business knows what good data looks like. Who keeps it in check?Most leading data quality platforms have added a way for an AI agent to scan a table and generate rules. Fewer have solved the harder problem underneath that: making sure the rules have business value.AI and agentsAug 26 8w8 weeks agoGoverned AI at the speed of Snowflake: How Collibra MCP powers Snowflake CoWork & Cortex CoCoWhat Is Collibra MCP? MCP is an open standard that gives AI assistants and agents a live, structured connection to enterprise systems. It functions like an API layer purpose-built for AI applications.Product and companyAug 17 2mo2 months agoYour AI policy exists. Does anything check it?Most organizations now have an AI policy. Far fewer can tell you which of their production models are running without a documented accuracy score, or which were trained on data whose sensitivity nobody has classified.Product and companyAug 12 2mo2 months agoData Products application: Centralized oversight for all your Data ProductsData products have become the centerpiece of modern data strategies, but standing one up is only half the battle. GartnerⓇ mentions that “By 2027, over past initial deployment due to a lack of ownership clarity, inadequate life cycle...AI and agentsAug 12 2mo2 months agoData Lineage Read APIs + MCP Server: Lineage on-demandEvery data-driven decision rests on a question that is surprisingly hard to answer: where did this data come from, and what breaks if it changes?Reliability and performanceAug 10 2mo2 months agoThe readiness gap: Banking's AI ambition outruns persistent capabilityExecutives in every industry are pushed to move faster on AI, but fewer are asked to move more cautiously or safely. The risks in banking feel higher because the regulators are often right at the door and decisions involve other people's...AI and agentsAug 6 2mo2 months agoGrounding agentic AI with the Collibra MCP for DatabricksOver the last few years, Databricks has grown from a managed Apache Spark platform into an end-to-end data and AI platform that serves technical and non-technical professionals alike. Its governance layer.Product and companyAug 5 2mo2 months agoData sharing agreements vs. Data contracts: Two different promises around dataThey sound interchangeable and get confused constantly, both are "agreements about data." But a data sharing agreement and a data contract solve different problems, sit in different parts of the organization and are owned by different...Product and companyJul 30 2mo2 months agoCustomer zero: How Collibra built an org-wide AI analyst on its own governed contextWhy we built Dwight: So what is Dwight, plainly?: Dwight is Collibra’s internal agentic analyst: an AI analyst that queries data for you. You ask a question in plain language, and it figures out the answer the way a human analyst would.AI and agentsJul 29 2mo2 months agoAutomated AI traceability for Snowflake CortexMore and more organizations are building AI where their data lives: in Snowflake. With Snowflake Cortex AI, teams can create agents, analysts and AI applications on enterprise data in minutes. But speed without visibility creates risk. About this blog
Collibra's own blog on collibra.com, found by the daily check.
Posts per week, last 26 weeks
17 a month over the last six months (or since the feed's oldest post)
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Listed on Blogs Oct 21, 2026. No changes to its feed, status or cadence since.
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