PhillipCapital Extends Eventus Trade Surveillance Partnership

Phillip Capital Inc. has extended its long-standing relationship with Eventus, continuing to use the vendor’s Validus platform for trade surveillance across its expanding range of markets. The US-based futures commission merchant and broker-dealer uses Validus to monitor activity across US equities, options, fixed income and global futures, as well as the rapidly developing prediction markets sector.

PhillipCapital said its combination of clearing, broker-dealer and FCM activities creates differing surveillance requirements across markets, making flexibility and the ability to configure alerting particularly important. The firm highlighted the need for detailed visibility without generating excessive volumes of alerts requiring manual investigation.

The renewed agreement extends an established relationship between the companies as PhillipCapital broadens its activities across asset classes. Eventus said the platform is designed to support evolving compliance requirements through configurable surveillance and financial risk capabilities across multiple markets.

Rothera Automates High-Volume Derivatives Reconciliations with Smartstream

Rothera has deployed Smartstream’s Air platform to automate high-volume reconciliations across its CFTC-regulated event contract exchange and clearinghouse operations.

The implementation uses Air’s Cash and Data modules to replace manual processes and support reconciliation of around 1.7 million transactions each day within an automated, fully audited environment.

The initial deployment covers two reconciliation processes, Exchange-to-Clearing Instruments and Exchange-to-Clearing Trades, with additional workflows planned as the rollout continues. Smartstream’s AI-powered platform ingests, matches and reconciles high-volume data flows with minimal manual intervention. Rothera said the implementation has reduced manual effort, accelerated the identification of exceptions and provided a complete audit trail across its operations.

The deployment comes as rising transaction volumes increase the operational demands on Rothera’s post-trade infrastructure. The exchange plans to extend automation into further reconciliation workflows as its markets grow.

Liquidnet Launches SuperBlock TI for Large Block Liquidity Discovery

Liquidnet has launched SuperBlock Targeted Invitations (TI), extending its liquidity discovery capabilities to help buy-side traders source counterparties for exceptionally large equity orders while controlling how trading interest is distributed.

The new functionality builds on Liquidnet’s existing Targeted Invitations capability, allowing traders to share SuperBlock interest with a broader group of potential counterparties while limiting information leakage. Each invitation is backed by a live client order, providing greater confidence that the liquidity opportunity is actionable.

The SuperBlock initiative, launched in 2024, has facilitated more than 1,500 trades globally. Between January 2025 and June 2026, Liquidnet says SuperBlock generated 64.5 basis points, or $55 million, in total savings for buy-side members. During 2025, Targeted Invitations helped clients access more than $3.8 billion in liquidity.

Bloomberg Automates Market-on-Close Trading for Japanese Government Bonds

Bloomberg has introduced an automated Market-on-Close workflow for Japanese Government Bonds (JGBs), completing the first fully automated trade using the new functionality.

Available through Bloomberg Electronic Markets, the workflow aligns execution with BB3P (Hikene Trading), the Market-on-Close reference rate for JGBs, giving traders greater certainty of execution at a specified close time while helping minimise tracking error.

The functionality combines Bloomberg’s Bid/Offer List Trading with Rule Builder, its trade automation tool. Clients can define execution criteria and automatically route orders when predefined conditions are met within Bloomberg’s integrated TSOX order and execution management workflow.

BlackRock collaborated with Bloomberg on the new protocol, which is intended to reduce manual intervention and transaction costs while supporting more systematic execution, particularly during high-volume periods.

The JGB addition extends Bloomberg’s Market-on-Close capabilities, which already cover US Treasuries, Canadian government bonds, UK Gilts and European government bonds.

WisdomTree Rebrands Digital Assets Business

Asset manager WisdomTree has rebranded its digital assets business – formed in 2021 – to WisdomTree Onchain. It encompasses the WisdomTree Connect, WisdomTree Prime, Onchain Transfer Agency and Onchain Markets activities, as well as collaboration with MoonPay and minority investments in businesses, such as Fnality and a financial-institution-led global stablecoin project. The business continues to be led by Will Peck.

Coinbase and Citi Partner to Support Stablecoins for Merchant Clients

Coinbase and Citi have deepened their collaboration to extend Coinbase’s payments infrastructure to Spring by Citi, the bank’s institutional payment acceptance platform. This enables Citi’s enterprise merchant clients to accept stablecoin payments at checkout without the need to hold or manage digital assets directly. Coinbase’s infrastructure handles the automatic conversion of digital currency into fiat, while Citi serves as the bank of record to settle the funds.

This joint effort aims to address the operational and regulatory challenges businesses face when scaling transactions between traditional finance and digital assets. By pairing Coinbase’s digital asset infrastructure with Citi’s regulated banking rails, the system provides a unified path for moving between fiat and stablecoins. As a result, businesses can access these capabilities without needing to build or maintain separate banking and digital asset technology stacks themselves.

Feedzai Adds Farol Agent for Fraud Rules, Investigations and SAR Drafting

Feedzai has launched Farol, an artificial intelligence (AI) agent embedded in its RiskOps Studio to analyse fraud-detection rules, retrieve case data, summarise alerts and draft suspicious activity reports (SARs).

Embedding the agent within the risk platform gives it access to transaction data and existing investigation workflows. Feedzai positions this approach as an alternative to connecting a separate AI model that lacks the institution’s operational context. Farol runs within each financial institution’s environment, with its data and outputs remaining inside the customer’s technology estate.

Farol launches with four sets of functions:

• Risk Strategy – Interrogates and analyses rule sets to surface actionable insights, including identifying rules that are generating noise without catching fraud, and recommending sharper thresholds to enhance performance. Management of rule hygiene becomes a task that takes minutes and not days.
• Investigations – Retrieves and summarizes alert data in moments, giving analysts the context they need to work cases faster and with greater conviction, proven to reduce alert handling times by 20%.
• Knowledge – An always-on product expert built into the workflow. Users can ask Farol how to do anything on the platform and get the answer instantly, without ever leaving the user interface to find it.
• SAR Drafting – Drafts Suspicious Activity Reports (SARs) up to 12x faster by cutting the manual effort of compiling and summarizing information.

Feedzai claims that Farol has reduced alert-handling times by 20% and can produce draft SARs up to 12 times faster than a manual process.

Justinas Rekus, fraud prevention business owner at SEB, said: “Having a single, intelligent interface to handle data retrieval, insight generation, and production-ready rule suggestions fundamentally transforms how we refine our fraud strategies.”

The product also provides audit trails and what Feedzai describes as autonomous execution capabilities. Feedzai said its research found that 68% of financial institutions were testing agentic AI. It argues that many projects have yet to generate operational efficiencies because third-party models remain separated from real-time transaction data.

Just 4.7% of Financial Institutions Continuously Update Their Compliance Monitoring and Controls – SymphonyAI Research

Only 4.7% of financial institutions update compliance monitoring and controls continuously as risk changes, according to research from SymphonyAI and AML Intelligence. A further 56.8% have yet to adopt continuous monitoring, are exploring it or remain at the pilot stage.

The FinCrime Frontier 2026–27 Report draws on responses from more than 200 financial crime and compliance leaders. It examines how institutions are responding to changes in criminal methods, regulation and transaction volumes.

The findings indicate that periodic review cycles remain common despite the speed at which financial crime risks can change. Seven in ten respondents, or 70.8%, said no more than 5% of the alerts they investigate result in an escalation or a suspicious activity report or suspicious transaction report.

That figure points to the investigative workload created by low-conversion alert volumes, although it does not show whether the remaining alerts were unnecessary or correctly resolved. Firms may need to examine how alert quality, investigative capacity and risk coverage interact rather than treating filing rates as a standalone measure of effectiveness.

Artificial intelligence (AI) and model governance, alongside the adequacy of technology and systems, ranked as the leading regulatory concerns. Each was selected by 40.8% of respondents. Cross-border regulatory complexity had topped the previous year’s survey.

Investment has yet to produce the same degree of operational change. AI and automation ranked as the leading compliance investment priority, cited by 61.9% of respondents. However, 76.3% said their institutions still review alerts manually or with partial automation. The share relying on fully manual review fell from 21.3% to 16.5% year on year.

John Edison, president of Financial Services at SymphonyAI, said: “The next phase will be defined by how effectively institutions use AI to connect risk intelligence with institutional judgment, transforming detection, investigation and governance so that controls respond dynamically as risk changes, while maintaining appropriate human oversight and accountability.”

The report covers regulatory change, compliance economics, operational performance, AI maturity, data readiness and governance. More than half of respondents described some form of forward-looking response to regulatory change, including modernisation or operating-model reform. Reactive workload, however, remained the most common response.

MCO Secures More Than $100 Million to Expand Compliance Platform and AI

MCO, the provider of MyComplianceOffice, has secured more than $100 million in growth financing from Accel-KKR Credit Partners to fund product development, artificial intelligence (AI) capabilities and market expansion.

The company plans to expand its technology team and invest further in its integrated compliance platform. MyComplianceOffice brings together controls for employee activity, communications, financial transactions and third-party relationships, allowing compliance teams to manage related data and evidence within one system.

MCO has expanded the platform over the past year to address digital assets and prediction-market personal trading. It has also added AI-supported trade-alert summaries, intent-based communications monitoring and policy assistance. These capabilities cover parts of the workflow where firms must connect employee conduct, trading activity and communications evidence.

Brian Fahey, founder and chief executive officer of MCO, said: “We are expanding our technology team, investing even more deeply in product development and AI-powered solutions, innovating faster, and continuing to deliver the integrated compliance platform that financial services needs.”

The financing extends a relationship between MCO and Accel-KKR that began in 2020. Accel-KKR Credit Partners provides financing to software companies, including non-dilutive investments for founder-owned businesses and flexible credit products for institutionally owned firms. It has completed more than 100 investments and deployed $1.7 billion, according to the announcement. MCO says more than 1,500 companies across over 125 countries use its software.

Apptopia Launches MCP Server for AI-Driven Alternative Data Analysis

Apptopia has launched an MCP Server designed to enable investment analysts and portfolio managers to access and analyse its mobile app data directly through large language models including ChatGPT, Claude, Gemini, Perplexity and Copilot.

Rather than simply exposing raw alternative data through an API, Apptopia says its MCP incorporates analytical logic developed specifically for mobile data. The system examines eight to 13 quarters of year-on-year trends, selects metrics based on relevant company KPIs, triangulates trends across multiple dimensions and compares results with sector-level data.

The approach is intended to produce repeatable analysis while reducing the risk of misleading signals generated when LLMs interpret alternative datasets without sufficient domain context. Apptopia demonstrated the technology using Block’s Cash App, where segment-level analysis identified a contradictory signal that wasn’t apparent in the aggregate data.

Access is available to all Apptopia customers as standard across its plans.