{"id":29823,"date":"2026-05-06T17:33:27","date_gmt":"2026-05-06T17:33:27","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/29823\/"},"modified":"2026-05-06T17:33:27","modified_gmt":"2026-05-06T17:33:27","slug":"collibras-new-ai-command-center-promises-to-combat-agentic-hallucinations","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/29823\/","title":{"rendered":"Collibra’s new AI Command Center promises to combat agentic hallucinations"},"content":{"rendered":"

Big data management startup Collibra BV<\/a> is trying to position itself as the nerve center for artificial intelligence agents with the launch of its new AI Command Center offering.<\/p>\n

It\u2019s designed to give enterprises a simple way to orchestrate fleets of governed AI agents in real time with minimal hassle.\u00a0With Collibra\u2019s AI Co\/mmand Center, companies will be able to access a proactive, continuous lifecycle management plane that treats each AI agent as a dynamic entity that requires constant supervision, the company explained.<\/p>\n

It\u2019s launching at a critical juncture in the emerging \u201cagentic AI\u201d industry. Whereas the first wave of the AI boom was all about generative AI chatbots, most companies are now pushing more advanced systems that can work autonomously to perform tasks on behalf of human users with minimal supervision. Updating customer records, processing transactions, managing call centers and so on are increasingly being automated in this way, but they don\u2019t always go as intended.<\/p>\n

As Collibra Chief Executive Felix van Van de Maele explains, almost every enterprise that\u2019s trying to use AI agents has to pay a kind of \u201challucination tax,\u201d which refers to the hidden costs of manual oversight, correcting agents\u2019 mistakes and the general risk that things might go wrong. \u201cThe AI Command Center eliminates that tax,\u201d he promised. \u201cIt gives organizations real-time visibility, continuous control and the confidence to run AI at the speed it actually moves.\u201d<\/p>\n

Collibra highlighted the scale of this \u201challucination tax\u201d in a recent survey. It found<\/a> that while 91% of enterprise technology decision-makers are experimenting with AI agents, less than half of them have successfully established the governance policies needed to oversee them.<\/p>\n

That means there\u2019s a huge number of AI agents up and running in production that lack clear ownership and traceability, and so if things go wrong, companies will very often not be able to understand which agent was responsible, or how it messed up. That leaves them exposed to massive risks, both in terms of reputation and regulation.<\/p>\n

Collibra\u2019s AI Command Center is meant to fix this. It\u2019s being launched through a strategic partnership with the large language model testing startup Giskard AI SAS<\/a>, and is meant to function as a centralized dashboard through which teams can see, monitor and control every AI agent that has been deployed.<\/p>\n

The company is promising real-time visibility with insights into the ownership, behavior and reasoning behind the decisions of each AI agent. It also detects agent drift, which is the term used to describe when agentic systems begin to \u201cdrift\u201d from their intended parameters. By catching them early, humans can intervene before disasters strike. In addition, the AI Command Center also provides companies with access to out-of-the-box templates for evaluating AI agent\u2019s readiness and risk in-line with AI UC-1 compliance standards.<\/p>\n

As for Giskard, it enables execution-level directly at the governance layer, meaning that AI engineers can perform extensive testing while their agents are still in the development pipeline and obtain feedback. \u201cEnterprise AI leaders need both top-down governance on how agents are built, and bottom-up tests that operationalize this governance directly inside the CI\/CD pipelines of AI engineers,\u201d said Giskard co-founder and co-CEO Alex Combessie. \u201cThat\u2019s exactly what Giskard and Collibra now deliver together: governance that actually reaches the execution layer, where AI risks really live.<\/p>\n

Collibra\u2019s platform is fully integrated with the Model Context Protocol. It offers an MCP Server that enables it to deliver governed metadata and business context directly to agents in real time. This means that whenever agents take actions, they\u2019re doing so based on trusted and structured corporate data, rather than outdated information or things they\u2019ve dreamed up by themselves.<\/p>\n

The biggest challenge will be integration. The enterprises it\u2019s targeting rely on a sprawling mess of third-party LLMs, vector databases and AI orchestration frameworks, and it will need to find a way to unify all of these systems if it\u2019s to avoid becoming just another dashboard that developers ignore. Recognizing that, the company has also joined Databricks Inc.\u2019s new \u201cAgent Bricks\u201d ecosystem as a founding member to ensure its platform plays nicely with key components of the agentic AI stack.<\/p>\n

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SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE<\/a>, theCUBE Network<\/a>, theCUBE Research<\/a>, CUBE365<\/a>, theCUBE AI<\/a> and theCUBE SuperStudios \u2014 with flagship locations in Silicon Valley and the New York Stock Exchange \u2014 SiliconANGLE Media operates at the intersection of media, technology and AI.<\/p>\n

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