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.

Bloomberg Unveils CLO Data Service

Bloomberg has launched a collateralised loan obligations data solution, delivering reference datasets for market participants through the Bloomberg Data License.

The launch connects enterprise loan-level data with regulatory, liquidity and credit risk datasets.

“Bloomberg is making it easier for clients to understand how the security, its collateral and the corporate borrower fit together in one view,” said Maureen Gallagher, head of enterprise reference data at Bloomberg.

The system supports cash-flow modelling, risk assessment and tranche discovery while integrating with existing functions on the Bloomberg Terminal.

Users can access the information through the query language BQL, with future integration planned for the artificial intelligence tool ASKB.

J.P. Morgan Automates US Listed Options Matching with DTCC’s CTM

J.P. Morgan is now using DTCC’s CTM automated trade matching workflow for US listed options, targeting greater efficiency in commissions reconciliation and post-trade processing. The workflow is designed to increase straight-through processing by standardising trade matching and reducing manual reconciliation. CTM can automate the handling of commission breaks, removing the need for customised reports and file reconciliations between individual trading counterparties, while accelerating submissions to clearing.

Adoption of the US listed options workflow has grown since DTCC introduced the capability in 2023. Thirty-two buy-side clients are now live in production, while monthly matched volumes have increased 525% since July 2024. CTM also supports the Clearing Member Trade Assignment process with additional account and clearing broker information, enabling automated communication of allocation details and helping reduce clearing delays and mismatches.

Options Partners with ZutaCore on Liquid-Cooled Trading Infrastructure

Options Technology has partnered with ZutaCore to deploy high-density, waterless liquid-cooled compute infrastructure across its global financial services platform. The agreement gives Options clients access to ZutaCore’s HyperCool technology, a two-phase, direct-to-chip cooling system designed to support high-power processors while keeping water out of the IT environment. The companies say this can enable higher compute densities while improving efficiency and reliability.

Options plans to integrate the technology into its broader infrastructure offering as rising compute requirements create greater power-density and thermal challenges across financial markets.

While liquid cooling has gained prominence alongside AI infrastructure, Options also sees growing requirements across electronic trading, quantitative analytics, market data processing and real-time risk modelling as these workloads become increasingly compute-intensive.

Your Bourse Introduces Virtual Groups for Multi-Platform Routing

Your Bourse has introduced Virtual Groups, a new capability designed to simplify routing management for brokers operating across multiple connected trading platforms. The functionality allows brokers to combine native client groups from different trading servers into a single virtual grouping, enabling them to manage common routing requirements more centrally. Initial routing rules are configured on each relevant platform, after which additional native groups can be added to the Virtual Group from one location.

The approach is intended to reduce the need for brokers to maintain identical group-level routing configurations separately across multiple servers as their trading environments grow and change. Virtual Groups can be incorporated into routing configurations including hedging-related workflows. Your Bourse said the functionality is particularly suited to brokerages operating increasingly complex multi-platform infrastructures, where client groups spread across different servers need to follow common routing logic. The company has demonstrated the capability using client logins across MT4 and MT5.

Purple Group Launches Fintech Infrastructure Platform Hello Purple

Purple Group has launched Hello Purple, a fintech infrastructure platform designed to simplify the development and launch of financial products by providing access to technology and regulated financial capabilities.

Built on infrastructure developed across Purple Group’s existing fintech businesses, the platform brings together services spanning payments, trading and embedded finance. It targets entrepreneurs, developers and companies that would otherwise need to integrate multiple technology and payments providers and navigate potentially lengthy regulatory processes.

The platform is intended to give users access to financial infrastructure and capabilities that have traditionally required significant investment and specialist expertise, potentially reducing the barriers to bringing new fintech products to market. Alongside the infrastructure platform, Hello Purple will publish research into agentic finance, including testing of development tools, case studies of products built using the platform and analysis of the emerging ecosystem.

SOLVE Expands Fixed Income Data and Trading Workflow Tools

SOLVE has introduced a series of enhancements to its fixed income platform, spanning TRACE market data, structured credit workflows and relative value analytics. The new TRACE Data Product Suite brings reported trade activity into SOLVE’s MBS Source workflow alongside collateral characteristics, historical offers, BWIC results and other security-level information. Coverage includes agency and non-agency MBS and CMOs, ABS and CMBS.

SOLVE has also enhanced its BWIC Monitor to help structured credit desks manage multiple live bid processes. New features include shared security-level statuses, change tracking and inline notes, combined with dealer inventory, historical quotes and predictive pricing.

Further enhancements to SOLVE’s Relative Value Analysis provide persistent access to user-created and SOLVE-provided analyses within its Quotes platform. Users can also filter dealer axe indications by timeframe, side and source. The updates are designed to connect fixed income data, analytics and trading workflows more closely and reduce the need to move between systems.