Pontes can give tokenised securities safe settlement in central-bank money. Liquidity still depends on Appia solving standards, law and fragmentation.

The World Federation of Exchanges (WFE), the global industry association for exchange groups and clearing houses, has asked the Securities and Exchanges Commission (SEC) to ensure that crypto firms don’t use the regulator’s broad exemptive relief to circumvent statutory obligations. While the WFE is supportive of the principle of exemptive relief, we are concerned that the broad use of such relief presents great risks to investors, market integrity, and competition, all of which have negative consequences for US markets. Exemptive relief from a specific rule or requirement is appropriate where relief is reasonably necessary for a firm to provide a product or service on a level playing field, and where exemptive relief is found to be consistent with the interests of the public and the protection of investors. If the Commission decides to offer exemptive relief, four standards must be considered: 1. Relief should be in line with four key principles: investor protection, market integrity, fair competition and consistency with international standards. 2. Exemptive orders should be narrow even while we support the Commission’s authority to grant relief where it is appropriate and justified. 3. The Commission should consider time-limiting exemptive relief or, alternatively, introduce stage gates for the deployment and scaling of new products and services, allowing the SEC to assess risks, gather data, and make adjustments before establishing a more permanent framework. 4. Any exemptive relief should be conditional. Among other measures, the Commission could consider the following conditions: * Recipients remain subject to SEC oversight * Robust AML requirements are applied * Clear governance structures are established * Safeguards, such as asset segregation, are maintained * A demonstrable commitment to operating fair and orderly markets is upheld. Nandini Sukumar, CEO of the WFE, said, “Tokenisation is a natural evolution in capital markets. We support innovation where it is pursued responsibly so that neither investors nor market integrity are put at risk. The SEC should avoid granting exemptions to firms attempting to bypass regulatory principles that have safeguarded markets for decades.” Read the full Letter here.

Why Mastercard’s New Tokenisation Standards Are Redefining Digital Commerce Introduction & Context Mastercard has announced new global tokenisation standards that will influence how merchants, PSPs, EMIs, neobanks, and digital platforms accept and process card payments. Building on years of EMV tokenisation, Mastercard’s updated approach introduces enhanced device‑level identity, streamlined approvals, stronger cryptographic protection, and deeper ecosystem‑wide interoperability. Recent industry updates highlight Mastercard’s intention to accelerate the transition from static card numbers to dynamic, reusable payment tokens—reducing fraud, increasing approval rates, and improving user experience across e-commerce, recurring billing, subscription platforms, and in‑app payment journeys.

The introduction of crypto technology and tokenisation is spurring changes in the financial system. Meanwhile, the Trump administration is taking steps to integrate crypto into traditional finance, most notably the GENIUS Act’s establishment of a regulatory regime for payment stablecoins. This column explores the US’ policy goals concerning digital assets and argues that tokenisation – rather than crypto-related technologies such as blockchains and distributed ledgers – is the truly transformative innovation in finance today.

Explore regulatory‑grade multimodal data de‑identification and tokenisation with Youssef Mellah, PhD, Senior Data Scientist at John Snow Labs and Srikanth Kumar Rana, Solutions Architect at Databricks. Learn how to remove, mask or transform PHI across clinical notes, tables, PDFs and DICOMs at scale, while meeting HIPAA, GDPR and CCPA standards — all without sacrificing analytical value. Timestamps 00:00 – Welcome & Episode Overview 02:43 – How Databricks supports secure De‑identification workflows 03:50 – Built-in techniques: masking, encryption, hashing 05:26 – Introduction to Multimodal Data De-Identification 07:15 – OCR + NLP pipeline for visual & text data – PHI Extraction 08:35 – Notebook demo: PHI identification in clinical notes 12:00 – PDF de-identification 12:56 – DICOM file de-identification 14:18 – Output: consistent masking across all modalities Listen on your favourite platform: • ⁠⁠Apple Podcast⁠⁠: https://podcasts.apple.com/us/podcast/the-healthcare-ai-podcast/id1827098175 • ⁠⁠Spotify⁠⁠: https://open.spotify.com/show/2XNrQBeCY7OGql2jVhcP7t • Amazon Music⁠⁠: https://music.amazon.com/podcasts/5b1f49a6-dba8-479e-acdf-9deac2f8f60e/the-healthcare-ai-podcast Resources: • John Snow Labs Models Hub: https://nlp.johnsnowlabs.com/models • Spark NLP Workshop Repo: https://github.com/JohnSnowLabs/spark-nlp-workshop • Visual NLP Workshop Repo: https://github.com/JohnSnowLabs/visual-nlp-workshop • JSL Docs: https://nlp.johnsnowlabs.com/docs • JSL Live Demos: https://nlp.johnsnowlabs.com/demos • JSL Learning Hub: https://nlp.johnsnowlabs.com/learn Connect with us: Our website: https://www.johnsnowlabs.com/ LinkedIn: https://www.linkedin.com/company/johnsnowlabs/ Facebook: https://www.facebook.com/JohnSnowLabsInc/ X: https://x.com/JohnSnowLabs #HealthcareAI #DataPrivacy #HIPAA #PHI #DeIdentification #HealthTech #MrdicalAI #AICompliance #GDPR #MultimodalAI