The NEA Working Group on New Technologies convened a workshop on March 25–26, focusing on how artificial intelligence can be applied to regulatory oversight and internal operations within nuclear authorities.

The discussions centred on practical deployment rather than theory, with participants examining how existing tools can fit into regulatory workflows.

The event brought together nuclear regulators and AI specialists from 15 NEA member countries, alongside representatives from international organisations. Attendees shared case studies showcasing AI systems already in use or under development across regulatory bodies.

Examples presented during the sessions included generating summaries and presentations using AI, improving simulation capabilities, and extracting relevant information from large volumes of regulatory documents.

These demonstrations led to detailed exchanges on implementation challenges, lessons learned, and ways to identify high-value applications.

Participants highlighted several key takeaways. There is a clear need to establish structured AI frameworks within regulatory bodies, supported by defined procedures and guidance. 

Well-scoped projects were seen to perform more effectively, while clear success criteria for AI tools and initiatives were considered essential.

On-premise models were identified as a possible way to address concerns related to cybersecurity, data sovereignty, and data protection. At the same time, human expertise remains central to decision-making and to interpreting AI-generated outputs.

The workshop encouraged open comparison of national approaches, with regulators sharing implementation experiences and identifying common concerns. The exchanges also pointed to areas where closer international cooperation could help address shared challenges.

Global collaboration and next steps for regulators

Mr. Eetu Ahonen, Vice-Chair of the WGNT, led the discussions and emphasised the value of collaboration across jurisdictions.

“This workshop demonstrated the value in international collaboration. Every regulator is exploring AI from a different angle, but the experiences we have with implementation of AI tools, data security challenges, and ensuring human oversight are remarkably similar. By sharing openly and learning from each other, we are strengthening our ability to use AI responsibly and efficiently to improve nuclear safety.”

The WGNT, which organised the event, serves as a platform for regulators and technical support organisations to exchange insights on overseeing emerging technologies throughout their lifecycle. Its work supports the development of shared understanding and helps identify pathways toward aligned regulatory positions.

The NEA plans to publish a dedicated brochure summarising the workshop’s findings, including key challenges, lessons learned, and recommended practices for integrating AI into regulatory processes.

Slash raised $100M at a $1.4B valuation as it processes over $1B in annualized stablecoin payments for 5,000+ businesses, turning crypto into back‑office banking rails.

Slash Financial, a business banking platform built for online‑first companies, has secured $100 million in Series C funding at a roughly $1.4 billion valuation as stablecoin payments quietly become core B2B plumbing rather than a side experiment. The round was led by Ribbit Capital with participation from Khosla Ventures and Goodwater Capital, while existing backers New Enterprise Associates and Y Combinator joined for what Slash said is their fourth investment in the company.

In a company blog announcing the deal, Slash CEO Victor Cardenas wrote that the team is “building the world’s most powerful business banking platform,” positioning the product as a “financial command center” that lets companies manage bank accounts, cards, payouts and crypto rails from one dashboard. Slash says it now serves “more than 5,000” corporate clients ranging from startups to larger online merchants, offering features such as multi‑currency accounts, virtual cards, expense management and real‑time local payments.

Stablecoins have become a centerpiece of that stack. Slash disclosed in March that businesses are already moving more than $1 billion in annualized stablecoin volume through the platform, just nine months after it switched on support for USDC and USDT, and set an ambitious goal of reaching $1 trillion in cumulative stablecoin payments before 2030. Its “stablecoin payments” product lets clients send and receive USDC and USDT directly from a Slash business account “with no crypto wallets, no exchange accounts, no need to hold funds in stablecoins,” effectively abstracting blockchain away in favor of a familiar treasury interface.

Slash’s latest round underscores a broader trend in which the value created by stablecoins migrates into rails for treasury, payouts and cross‑border settlement rather than consumer‑facing DeFi. As a recent crypto.news story on stablecoin infrastructure noted, fintechs increasingly lean on stablecoins to settle transactions faster while leaving end‑users in traditional cash balances, using intermediaries like Transak, Circle or banking partners to bridge the gap.

That logic is attracting big acquirers. In 2025, Ripple agreed to buy Toronto‑based stablecoin payments firm Rail for $200 million, arguing that “stablecoin payments are becoming the backbone of cross‑border treasury and merchant settlement” and promising corporate clients “pay‑ins and pay‑outs across key corridors without holding crypto on balance sheet.” More recently, layer‑2 project Morph partnered with custody firm Cobo to “supercharge institutional stablecoin flows” via a Payment Accelerator program, again targeting treasury desks and payroll teams rather than retail traders.

Slash, which originally launched as a niche vertical banking product before pivoting into broader business banking, now finds itself competing with incumbents like Ramp and Brex as well as crypto‑native payment stacks that embed stablecoins beneath the surface. For investors like Ribbit and Khosla, the $100 million bet is that the dull work of wiring dollars and stablecoins through corporate back offices will capture more durable economics than speculative yield farming — and that platforms quietly pushing billions of dollars in USDC and USDT volume will own the next decade of crypto‑powered payments infrastructure.

In additionl, stablecoin payment rails includes an explainer on what infrastructure companies use to add stablecoin payments, a report on Morph’s institutional stablecoin flows with Cobo, and news of Ripple’s acquisition of stablecoin payment platform Rail for $200 million.

Morpho price rallied to nearly $2 for the first time this year as a wave of institutional interest and new protocol upgrades lifted demand for the token.

According to data from crypto.news, Morpho (MORPHO) price climbed more than 12% to an intraday high of $1.94 on Friday before easing slightly to $1.93 at press time, marking its strongest level so far this year.

There are four key reasons behind the latest move.

First, Morpho’s integration with Fireblocks has unlocked a fresh stream of institutional capital. The company rolled out its Earn product on April 15, giving over 2,400 clients the ability to allocate idle stablecoins into Morpho vaults. Given that Fireblocks processes more than $200 billion in monthly stablecoin volume, the tie-up creates a meaningful channel for liquidity to flow into the protocol.

Second, Morpho has widened its offering with the launch of Morpho Midnight, a lending system built around fixed rates and fixed durations. The product is geared toward traditional finance players who rely on predictable returns, which could help Morpho gain traction as backend infrastructure for credit markets.

Third, the project is making steady progress in the real-world asset space. The onboarding of Unified Labs as a risk curator for tokenized asset vaults signals its push into Asian markets. It also builds on earlier efforts to support loans backed by non-traditional collateral such as tokenized commodities, strengthening its presence in the RWA segment.

Fourth, rising institutional backing has added further support to the rally. Apollo Global Management is in the process of acquiring up to 90 million MORPHO tokens over a four-year period, which accounts for roughly 9% of the total supply.

Alongside this, the Ethereum Foundation has deposited millions into Morpho vaults, pointing to growing confidence from major players within the crypto space.

Worldcoin’s native token, WLD, slipped about 13.4% on Friday, trading near $0.28, as the iris-based identity project announced a fresh wave of integrations for its “proof of humanity” stack. World Network, led by OpenAI CEO Sam Altman, is expanding the reach of its biometric verification infrastructure, which centers on the Orb device that scans a user’s iris to create a unique digital identity without exposing personal data.

The rollout coincides with a broader push to embed World ID into everyday tools. Zoom unveiled a Deep Face authentication integration to help prevent deepfakes during video calls, while electronic signatures platform Docusign is adding World ID verification to digital agreements. Tinder is expanding World ID verification to United States users, underscoring an interest in identity verification as AI-enabled interactions proliferate. World explained that as AI agents increasingly act on behalf of real people, the ability to prove a human stands behind each agent becomes critical.

No more deepfakes on video calls. @worldnetwork identify verification on @Zoom.

— World (@worldnetwork) April 17, 2026

CoinGecko data shows WLD at around $0.28 after Friday’s move, even as the broader crypto market rose about 2.2% on news that tensions between the United States and Iran were easing and regional trade channels such as the Strait of Hormuz were opening. World’s token acts as the economy’s incentive layer, used to reward users who verify their unique identity and to enable transactions within World Network’s ecosystem.

World has positioned World ID as a portable, account-based system with features like key recovery and multi-device support, aiming to make verification resilient as AI agents gain prominence in digital workflows. The platform emphasizes that proof of humanity is not only a crypto-native concept but a cross-application requirement as AI agents begin to operate across consumer and enterprise spaces.

Key takeaways

• WLD fell 13.4% to about $0.28 on Friday as World Network rolled out new integrations of its proof-of-human stack.
• Major partnerships tie World ID to Zoom for anti-deepfake verification, Docusign for identity-backed digital signatures, and Tinder for US users, signaling a push toward enterprise- and consumer-facing identity verification.
• The Orb-based system generates a human-verified identity without distributing biometric data, while offering account-based features like key recovery and multi-device support.
• World’s ecosystem has grown beyond crypto-native use cases, with Coinbase and others leveraging World’s AgentKit—part of a broader toolkit for proving AI agents are linked to a verified identity; additional partners include AWS, Shopify, BrowserBase, Exa, and VanEck.
• Market context suggests mixed signals: token volatility amid a rising broader market, influenced by geopolitical shifts and easing tensions rather than purely token-driven catalysts.

World ID moves into mainstream apps and business workflows

The latest wave of integrations highlights World Network’s ambition to embed a “proof of humanity” layer across everyday software—ranging from collaboration tools to legal workflows. Zoom’s Deep Face authentication aims to curb impersonation on video calls by tying real-user identity to AI-driven communication, addressing a growing concern about deepfakes in real-time conversations. Docusign’s addition of World ID verification could standardize how signers are validated in digital agreements, potentially reducing fraud in document workflows. Tinder’s US expansion signals a consumer-facing rollout that could influence how mainstream apps validate identities in online interactions.

World contends that as AI agents increasingly represent real people, a robust, privacy-preserving identity backbone becomes essential. The Orb device, which scans irises to generate a unique digital identity, is designed to minimize the amount of biometric data exposed while establishing that a real person stands behind each action or interaction. World emphasizes that its approach is account-based, with features intended to be portable across devices and recoverable should users lose access to credentials.

Privacy considerations and governance questions

As with any biometric-based verification framework, World’s approach invites scrutiny around data governance and privacy. Critics argue that centralizing identity verification—especially at scale—could raise surveillance concerns if control over the data ecosystem concentrates in a single company or platform family. Proponents, however, point to reduced risk of impersonation and fraud in AI-enabled contexts, arguing that verified human identity can unlock safer interactions and more trustworthy automated services.

Industry observers are watching how World balances privacy protections with the demand for verifiable identity across platforms. The emphasis on a non-identifying iris scan—where only a unique digital fingerprint is used for verification, not raw biometric data—remains a core feature cited by World, but real-world adoption will test whether users and partners trust the model enough to integrate at scale across consumer and enterprise channels.

Developer tools and ecosystem expansion

Beyond consumer and enterprise integrations, World has been building a broader ecosystem around its identity layer. In March, Coinbase announced a collaboration to verify AI agents using World’s AgentKit, a developer toolkit designed to help agents prove a link to a verified identity as part of its x402 AI agents micropayments protocol. The move aligns with World’s broader aim to extend its proof-of-human infrastructure into AI-assisted workflows, enterprise applications, and developer platforms.

World has already linked its technology with a range of partners, including Amazon Web Services, Shopify, Browserbase, Exa, VanEck, and Coinbase. The expansion into mainstream software ecosystems signals a shift from a niche crypto project toward a cross-industry identity substrate that could underpin trusted AI-mediated interactions, digital signatures, and automated processes in a privacy-conscious manner.

As World Network continues to push World ID into both consumer apps and business tools, investors and users should watch for how privacy safeguards evolve, how regulators respond to biometric verification standards, and whether broader adoption translates into tangible utility and network effects for World’s token economy. The next milestones to watch include further platform rollouts, refinements to key recovery and multi-device support, and the integration of World ID into additional enterprise and consumer services.

Readers should monitor upcoming updates from World Network and partner platforms to gauge how quickly verification can scale without compromising user privacy or control over data. With the AI era accelerating the need for reliable ways to prove human presence, the trajectory of World ID’s integrations could influence both the pace of adoption and regulatory discourse in identity verification across digital ecosystems.

TLDR:

• Blockchain reorgs can shift transaction positions, alter timestamps, and change execution outcomes across EVM networks
• TRM processes real-time data without waiting for finality, requiring advanced systems to detect and correct inconsistencies
• Simple deduplication fails as reorgs modify indices and traces, creating structurally different yet related records
• TRM uses layered detection and reconciliation, anchoring all datasets to canonical transaction timestamps for accuracy

Blockchain reorganizations continue to challenge data reliability across Ethereum-compatible networks. A recent post by TRM Labs explains how these events can alter transaction records, forcing engineering teams to rethink how real-time blockchain data is processed and maintained.

Reorgs Reshape Blockchain Data Beyond Simple Duplication

TRM Labs shared the update through its official X account, pointing readers to a detailed breakdown of its internal systems.

The post explains that blockchain reorgs do more than create duplicate entries. They can shift transaction positions, modify log indices, and even alter execution outcomes.

A reorg occurs when a blockchain replaces recently accepted blocks with a different version of the chain. This can happen under both proof-of-work and proof-of-stake systems. In Ethereum’s current structure, delays in block propagation or network partitions can trigger such changes.

As a result, previously ingested data may become outdated without warning. Transactions might move to different blocks, while timestamps and execution paths can change. In some cases, a transaction that succeeded earlier may fail in the updated chain version.

This creates challenges for data pipelines that process blockchain activity in real time. Once incorrect data enters storage systems, it remains alongside updated records. This leads to inconsistencies that extend across dependent datasets.

TRM notes that relying only on transaction hashes for deduplication does not solve the issue. When positions shift, metadata such as log indices and trace identifiers also change. These differences cause systems to treat identical transactions as separate records.

Multi-Layered Strategy Enables Real-Time Data Accuracy

To manage these issues, TRM Labs built a layered system that detects and corrects reorg-related inconsistencies. The company processes blockchain data immediately after block production instead of waiting for finality. This approach supports real-time monitoring needs but requires constant reconciliation.

Waiting for finality could prevent most reorg issues. However, finality on Ethereum can take up to 15 minutes. For compliance and risk monitoring systems, such delays are not practical.

TRM’s system begins with reorg detection. Once identified, affected data is republished and corrected across all downstream tables. Each dataset applies its own deduplication rules, ensuring that outdated records are removed or replaced.

Another key component is cross-table reconciliation. Since reorgs can affect multiple datasets differently, consistency must be restored across all related tables. Without this step, mismatched records could disrupt analytics and reporting systems.

The transactions table plays a central role in this process. It serves as the main reference point for all other datasets. By anchoring downstream data to canonical transaction timestamps, the system restores alignment after a reorg occurs.

The post also outlines different failure scenarios observed in production. In some cases, transactions retain the same outputs but shift positions. In others, execution paths change due to differences in blockchain state, leading to altered results.

There are also situations where the number of token transfers changes between chain versions. These variations create mismatches that cannot be resolved through simple deduplication methods.

TRM’s approach addresses each of these scenarios through coordinated data correction. This ensures that real-time systems maintain accuracy even when the underlying blockchain structure changes.

The company continues to refine its systems as blockchain networks evolve. Its framework reflects the growing need for reliable data infrastructure in environments where consensus can shift after initial confirmation.

Tokenization does not automatically make hard-to-trade assets liquid, industry executives said at Paris Blockchain Week, pushing back on the idea that putting private credit, real estate or other illiquid products onchain will by itself create active secondary markets.

Speaking during a panel moderated by Cointelegraph CEO Yana Prikhodchenko, Oya Celiktemur, Ondo Finance sales director for Europe, the Middle East and Africa (EMEA), said there is still a misconception that tokenizing illiquid assets can make them easier to trade.

“I think there’s still this idea that tokenizing something illiquid will somehow magically make it a liquid asset, which is just not true,” said Celiktemur. She added that assets like real estate and private credit “were never that liquid” to begin with.

Francesco Ranieri Fabracci, head of tokenization expansion at Tether, made a similar point. “It’s not that if you put an asset onchain, it will be liquid,” he said, arguing that only a narrower set of instruments, including bonds, money market funds and stablecoins, are likely to achieve consistent liquidity in tokenized markets.

The discussion comes as the tokenized real-world asset (RWA) sector continues to expand, shifting attention from issuance growth toward whether tokenized products can achieve meaningful activity and move beyond limited distribution channels. 

Tokenized RWA market grows, but remains concentrated

Data from RWA anayltics platform RWA.xyz shows the tokenized RWA market expanded from $8.8 billion on April 16, 2025, to roughly $29.9 billion on April 16, 2026, more than tripling in size in one year. 

The growth was led by relatively standardized and widely traded assets. Tokenized US Treasury Debt and commodities accounted for a large share of the market throughout the year. 

Related: French minister says new measures are coming after crypto kidnappings

By contrast, categories typically associated with lower liquidity remained comparatively smaller despite strong percentage growth. Tokenized real estate increased from about $35 million to $296 million, while private equity rose from nearly $60 million to $223 million.  

Other segments, including asset-backed credit and corporate credit, also expanded sharply in absolute terms, indicating rising issuance across a broader range of instruments.

But market value alone does not prove liquidity. Outstanding value can rise because more assets are issued, even if secondary market trading remains thin.

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