GoldenSource Scout AI Platform Seeks to Bring Trust to Data

GoldenSource has launched an artificial intelligence platform called GoldenSource Scout, which is designed to help financial services firms establish trusted data context for AI models.

The release follows findings from the InvestOps 2026 research report, which indicated that 98 per cent of firms are concerned that poor data could lead to incorrect artificial intelligence insights.

“The test for AI is not whether it can generate answers, but whether those answers can stand up to operational scrutiny, governance expectations and board-level accountability,” said GoldenSource chief executive James Corrigan. “That is where trusted data context becomes essential.”

The platform allows clients to query and interpret data across multiple domains through a chat interface or an agent-building tool deployed on Amazon Bedrock.

It expands upon the company’s previous data management services, which have focused on standardising and operationalising complex market data for four decades.

MSCI Buys First Street to Bolster Climate Risk Data Offering

MSCI has acquired physics-based climate risk data and analytics provider First Street as it seeks to enhance its climate risk capabilities.

The US$120 million transaction coms as as financial institutions demand physical climate risk data embedded into workflows to inform decision-making during accelerating global climate risks, MSCI said.

“The integration of First Street data into MSCI’s existing geospatial capabilities will enable clients to be better informed about their changing risk exposures and translate that directly into financial decision-making,” Richard Mattison, head of sustainability and climate at MSCI, said,

First Street provides multi-hazard models that incorporate climate signals to assess physical risk exposure, asset damage and business interruption.

The transaction is expected to close in the third quarter and builds upon MSCI’s previous developments in geospatial intelligence, climate scenario analysis and transition finance.

Chainlink’s DLT-Based Project Pangea Tackles T+0 FX Settlement

Oracle provider Chainlink’s Project Pangea has assembled 50+ banks across 16 countries to bring DLT-powered real-time atomic settlement to the $9.6 trillion per day foreign exchange market.

The project’s bank partners include members of three European and Korean consortia, while the technology base comprises Chainlink’s CCIP (Cross-Chain Interoperability Protocol), Swift’s ISO 20022 messaging service and DLT-based settlement technology from FairSquareLab, a Korean digital asset infrastructure developer.

FairSquareLab’s onchain settlement technology uses stablecoin transfers and smart contracts running on Ethereum, Polygon, and a proprietary L1 network. Banks access Pangea via existing Swift connections while Chainlink supports digital asset transfers and FX market data.

State Street Launches GENIUS Act Stablecoin Fund

State Street Investment Management has launched the State Street Stablecoin Reserves Money Market Fund, a regulated money market fund designed to support stablecoin issuers. The fund, which complies with the recently introduced GENIUS Act, offers a regulated reserve option for stablecoin issuers. State Street Bank and Anchorage Digital are the first investors in the fund.

Already the largest real-world application of DLT, USD-denominated stablecoins account for trillions of dollars in annual transactions. Since they are typically backed by short-term U.S. Treasury debt, the U.S. government views them as strategic to the country’s economy and as a result, issuers are required to maintain secure, liquid, and regulated funding pools.

Since money market funds currently represent the single largest tokenised asset category, the addition of funds designed to back stablecoins represents increased convergence of the traditional and digital asset securities spaces.

EIB Issues Commercial Paper on Clearstream’s D7 DLT; Looks to Hybrid Platform

The European Investment Bank (EIB) has issued the first DLT-native, Euro-denominated commercial paper on Clearstream’s D7 DLT platform. The EUR 77.5 million issuance was made in compliance with Europe’s Central Securities Depositories Regulation (CSDR) and involved Citi as sole dealer and issuing/paying agent, as well as BIL, DekaBank, DZ BANK, Eurex Clearing, Union Investment and Volksbank Mittlerer Schwarzwald as primary investors.

Subsequently, DekaBank and Eurex Clearing were able to demonstrate collateral mobility for the DLT-based tokenised securities through Clearstream’s triparty collateral management solution and the European Collateral Management System to support financing with the Bundesbank.

Launched in 2025 following substantial trials with the European Central Bank, D7 DLT is a private, permissioned distributed ledger platform designed by Clearstream in collaboration with Google Cloud.

Following the EIB issuance, Clearstream has announced plans to create a hybrid infrastructure to support both traditional and digital securities. Market participants will be able to hold and combine traditional securities, DLT-based tokenised securities and cash in a single portfolio.

The hybrid offering will launch in stages during 2026 and 2027. Subject to regulatory approval, it will cover the entire securities lifecycle, from issuance, distribution, settlement and custody, through to asset servicing, liquidity and financing.

Shield Extends Agentic Suite Into Governed Alert Closure

Shield has added two AI agents to AmplifAI, its agentic suite for digital communications surveillance and investigations, extending the platform’s focus from detection and investigation into alert resolution and language coverage.

The new Alert Closure Agent is designed to assess flagged communications using message content, risk language and conversation context, and to close alerts where the surrounding context indicates that no compliance risk is present. The company says customer evaluations of the agent resulted in a 77.3% reduction in false positives.

The launch addresses one of the most persistent operating problems in communications surveillance: large volumes of low-risk alerts that absorb reviewer capacity before cases can be escalated for more meaningful investigation. The company cites industry estimates that firms process roughly one million Level 1 alerts each year, with fewer than 0.02% progressing beyond initial review and 93% of firms identifying false positives as a significant operational challenge. The agent is positioned as a governed workflow tool rather than a standalone decision-maker, with closure reasoning recorded in the alert detail, closed alerts capable of being reopened, and quality assurance workflow steps configurable by the firm.

The operational significance is the move from AI-assisted triage to controlled case disposition. Surveillance providers have increasingly used artificial intelligence to classify communications, prioritise alerts or surface contextual information, while regulators have observed firms exploring AI to filter false alerts. This latest release pushes further into the workflow by allowing contextually clear false positives to be closed under defined oversight controls.

That distinction matters for regulated firms. The practical challenge is not simply whether AI can reduce alert noise, but whether it can do so in a way that leaves a defensible evidence trail for compliance, audit and supervisory review. The company’s emphasis on recorded reasoning, reopenable alerts and configurable quality assurance is intended to support that governance requirement.

The second addition, the Language Expansion Agent, is aimed at multilingual surveillance gaps. Shield says the agent can identify risk across unmonitored or rare languages, bringing communications inside the compliance perimeter regardless of the languages a firm has selected for active monitoring.

Together, the two agents broaden AmplifAI across detection, investigation and governed resolution. The suite already includes a Noise Reduction Agent and Coverage Expansion Agent for detection, a Risk Reasoning Agent for triage and analysis, and Shiela, an agentic assistant for natural-language queries and investigation.

Shiran Weitzman, chief executive officer of Shield, framed the launch as part of a shift from task-specific AI toward “a coordinated system of specialized agents” across the surveillance lifecycle. He said the new agents are intended to support autonomy “where needed” while helping firms “keep human judgment at the centre.”

Tamar Sharir, chief product officer of Shield, linked the release to the long-running trade-off between scale, coverage and efficiency in compliance operations. She said the new agents are designed to give compliance programmes “coverage and capacity” across channels, languages and alerts.

The Alert Closure Agent and Language Expansion Agent are available as part of the AmplifAI suite. The company says the Alert Closure Agent is already in deployment with a Tier 1 financial institution.

Trading Technologies Upgrades TT Trade Surveillance Platform with Market Replay Tool

Trading Technologies International (TT) has upgraded its TT Trade Surveillance platform, introducing a Market Replay tool and an enhanced enterprise case management user interface. The update improves the workflow, speed and scope of compliance investigations across equities, fixed income, foreign exchange, cryptocurrencies, futures and options. Live demonstrations of the system will begin tomorrow at the XLoD Global – London 2026 conference.

The Market Replay module functions as a forensic auditing tool, providing a tick-by-tick visual playback of the order book over a 90-day lookback window. Meanwhile, the upgraded cloud-based case management system enables global compliance teams to collaborate on historical data and manage investigations within a single workspace.

The hosted platform minimises false-positive alerts using user-configurable and core models. This includes a machine learning-powered spoofing model trained on regulatory data, which scores alert risks from 1 to 100 to help staff prioritise tasks. The system ingests and normalises multi-asset trading data from both TT and external platforms.

Plus500 Launches Sports Event-Based Prediction Contracts in the US

Plus500, the global multi-asset fintech group, has expanded its product suite in the US by launching CFTC-regulated sports event-based financial contracts. Enabled by the group’s proprietary technology, these contracts allow retail customers to trade on sporting outcomes using prediction markets. The offering combines Plus500’s institutional-grade execution, clearing, and risk management infrastructure with an intuitive user experience.

The launch utilises contracts from Kalshi, the authorised prediction market platform, integrated directly into Plus500’s proprietary futures trading platform. This addition significantly broadens Plus500’s next-generation prediction markets portfolio. By entering sports-based contracts -the highest-engagement category in prediction markets – the group aims to substantially expand its total addressable market within the US retail trading sector.

Waypoint Trading Solutions Enables Day-One Connectivity to Texas Stock Exchange

Waypoint Trading Solutions, a TNS business, has announced it will provide immediate connectivity to the Texas Stock Exchange (TXSE) from its launch day. This addition allows Waypoint clients to access the new platform alongside other exchanges and alternative trading systems, including all 22 US equities venues and overnight markets. Headquartered in Dallas, TXSE is a fully electronic national securities exchange backed by major global financial institutions, aimed at expanding access to US equity capital markets.

The integration leverages Waypoint’s established infrastructure, which is designed to streamline and secure global trading environments. The company’s capabilities are delivered through three core service areas: Radianz, which operates the world’s largest financial extranet for global connectivity; Xpress, a managed low-latency platform for high-performance market access; and Sentinel, a fully managed service supporting large-scale, complex market data operations.

Avelacom Completes Network Optimisations for Low-Latency Trading from Shanghai

Avelacom has completed a series of network optimisations from the Shanghai Tonglian Data Centre, to improve connectivity between Shanghai and major global financial hubs, including Hong Kong, Tokyo, Singapore, and Chicago.

The newly optimised routes deliver round-trip delays of under 16.5 milliseconds to Hong Kong, less than 50 milliseconds to Singapore, and under 24 milliseconds to Tokyo, which also supports onward connectivity to CME Group markets. These improvements facilitate latency-sensitive trading strategies, including onshore and offshore China trading, FTSE China A50 trading, and cross-market commodities trading between global derivatives markets.

As Shanghai maintains a key role in Asian trading infrastructure, these network upgrades address the growing demand from trading firms requiring deterministic, low-latency connectivity to deploy cross-market and cross-region strategies.