Cardano Is Already Running Behind 200 German Companies, Foundation CEO Says

bitcoinistPubblicato 2026-04-17Pubblicato ultima volta 2026-04-17

Introduzione

Cardano Foundation CEO Frederik Gregaard revealed that approximately 200 large German companies are already using Cardano’s blockchain infrastructure—without being aware of it—through agentic AI deployments. These firms leverage Cardano as a security, digital identity, and accountability layer, particularly for verifying AI agents and ensuring data privacy without disclosure. Gregaard emphasized blockchain’s evolving role as a foundational trust layer for AI systems rather than just a payment rail. He noted that regulated stablecoins like USDM are used for microtransactions between AI agents, aligning incentives and enhancing security. He also highlighted Cardano’s regulatory positioning as a commodity, its quantum security features, and potential growth under emerging US and EU legislation. At the time of reporting, ADA was trading at $0.2566.

Cardano is already being used by roughly 200 large companies in Germany through agentic AI deployments, even if those firms do not realize the blockchain is sitting underneath their stack, according to Cardano Foundation CEO Frederik Gregaard. The claim, made during an interview with Jane King on GBBC’s Markets on Chain series from the New York Stock Exchange published April 16, points to a version of blockchain adoption that is less visible to end users but potentially more embedded in enterprise infrastructure.

200 German Companies Use Cardano Without Even Knowing It

Gregaard framed the Cardano Foundation’s role as pushing blockchain into systems people use without necessarily recognizing it. “We have about 200 companies in Germany who live on agentic AI, fairly large companies, and they don’t even know they’re using Cardano as a security layer, as a digital identity layer and as an accountability layer,” he said. “Part of when you have, for instance, agentic AI who’s using data from two different databases, [is] ensuring that the agentic AI is who they say they are, that they have the data they claim without disclosing it, because we want privacy.”

That argument was central to Gregaard’s broader pitch: blockchain, in his view, is becoming an underlying trust and coordination layer for AI-driven systems rather than simply a rails story for tokens or payments. He described a model where users could interact with seamless consumer applications while Cardano handles provenance, identity and compliance in the background. The point was less about visible crypto branding than about infrastructure-level deployment.

Payments still featured prominently. Gregaard said AI agents in some of these systems are already transacting using a regulated stablecoin called USDM, with microtransactions used to meter prompt activity and align incentives between participants. “The AIs are actually paying themselves using regulatory compliant stablecoins,” he said. “There’s a microtransaction happening just to do the prompts. And that’s also part of the security layer, which ensures that one database who has more computing power than the other doesn’t do unlimited prompts and can circumvent the security.”

Why Cardano Could Strive In The EU And US

The interview also tied that enterprise and AI narrative to policy. Gregaard said the US stablecoin framework under the GENIUS Act had moved the market closer to Europe’s MiCA regime, but argued the more consequential shift could come from the Clarity Act. He said he expects that legislation, if passed, to unlock materially broader blockchain usage beyond financial applications, adding that “hundreds of companies” are already waiting on that kind of legal certainty. He further claimed that recent regulatory language had made clear that “Cardano is a commodity,” and suggested the US could move faster than Europe on this front.

Alongside adoption, Gregaard leaned heavily on security. He said Cardano’s on-chain governance model and distributed validator base make it harder to compromise through a single point of failure, a contrast with networks he described as effectively controlled by a small number of insiders. He also argued that Cardano is emerging as a “first level quantum secure environment” through its interoperability with legal entity identity standards, which he said is drawing interest from banks, brokers, exchanges and central securities depositories.

At press time, Cardano traded at $0.2566.

ADA hovers below key resistance, 1-monthly chart | Source: ADAUSDT on TradingView.com

Domande pertinenti

QAccording to the Cardano Foundation CEO, how many large companies in Germany are using Cardano without realizing it, and for what purposes?

AAccording to Cardano Foundation CEO Frederik Gregaard, roughly 200 large companies in Germany are using Cardano as a security layer, a digital identity layer, and an accountability layer in their agentic AI deployments, without even knowing the blockchain is underneath their stack.

QWhat specific type of digital currency are the AI agents using for microtransactions in these systems, and what is its purpose?

AThe AI agents are using a regulated stablecoin called USDM for microtransactions. These microtransactions are used to meter prompt activity and align incentives between participants, and they form part of the security layer to prevent abuse.

QWhat US legislation does Gregaard suggest could unlock significantly broader blockchain usage beyond financial applications?

AGregaard suggests that the Clarity Act, if passed, could unlock materially broader blockchain usage beyond financial applications. He claims that 'hundreds of companies' are waiting for this kind of legal certainty.

QHow does Gregaard contrast Cardano's security model with that of other networks?

AGregaard contrasts Cardano's security by highlighting its on-chain governance model and distributed validator base, which make it harder to compromise through a single point of failure. He contrasts this with networks he describes as effectively controlled by a small number of insiders.

QWhat two key regulatory frameworks does the article mention in the context of stablecoins, and which region does Gregaard suggest might move faster on classifying assets like Cardano?

AThe article mentions the US stablecoin framework under the GENIUS Act and Europe's MiCA regime. Gregaard suggests that the US could move faster than Europe on providing regulatory clarity, recently stating that regulatory language has made clear that 'Cardano is a commodity.'

Letture associate

An Open-Source AI Tool That No One Saw Predicted Kelp DAO's $292 Million Vulnerability 12 Days Ago

An open-source AI security tool flagged critical risks in Kelp DAO’s cross-chain architecture 12 days before a $292 million exploit on April 18, 2026—the largest DeFi incident of the year. The vulnerability was not in the smart contracts but in the configuration of LayerZero’s cross-chain bridge: a 1-of-1 Decentralized Verifier Network (DVN) setup allowed an attacker to forge cross-chain messages with a single compromised node. The tool, which performs AI-assisted architectural risk assessments using public data, identified several unremediated risks, including opaque DVN configuration, single-point-of-failure across 16 chains, unverified cross-chain governance controls, and similarities to historical bridge attacks like Ronin and Harmony. It also noted the absence of an insurance pool, which amplified losses as Aave and other protocols absorbed nearly $300M in bad debt. The attack unfolded over 46 minutes: the attacker minted 116,500 rsETH on Ethereum via a fraudulent message, used it as collateral to borrow WETH on lending platforms, and laundered funds through Tornado Cash. While an emergency pause prevented two subsequent attacks worth ~$200M, the damage was severe. The tool’s report, committed to GitHub on April 6, scored Kelp DAO a medium-risk 72/100—later acknowledged as too lenient. It failed to query on-chain DVN configurations or initiate private disclosure, highlighting gaps in current DeFi security approaches that focus on code audits but miss config-level and governance risks. The incident underscores the need for independent, AI-powered risk assessment tools that evaluate protocol architecture, not just code.

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An Open-Source AI Tool That No One Saw Predicted Kelp DAO's $292 Million Vulnerability 12 Days Ago

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