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.

ProCredit Selects Teciem’s Kondor Up for Group-Wide Treasury Operations

ProCredit group has selected Teciem’s Kondor Up treasury platform to support funding, liquidity management, trading and risk processes across its international banking network.

The group operates ten development-focused commercial banks in South Eastern and Eastern Europe. ProCredit Holding also oversees capital adequacy, regulatory reporting and risk management across the network.

Kondor Up will provide front-to-back treasury capabilities through a cloud-native operating model. ProCredit plans to deploy the platform across the group while adapting it to country-specific operating and regulatory requirements.

The implementation is intended to increase automation and give ProCredit the flexibility to introduce products across its banking operations. The release does not specify which treasury processes the group will automate first.

“The platform’s front-to-back treasury capabilities will help us drive greater automation across our operations while providing flexibility to support new products, broaden our offering and underpin our future growth ambitions,” said Christian Dagrosa, management board member and chief financial officer at ProCredit Holding.

Kondor Up builds on the existing Kondor treasury and risk management system. Teciem said the new version combines that functionality with a cloud architecture designed to support faster implementation, scalability and continuing software updates.

The platform will operate in a single-tenant environment and use Kubernetes-based infrastructure. Teciem said this approach supports data segregation, resilience and scalability.

VoxSmart Unifies Communications Compliance Workflows in VX1

VoxSmart has launched VX1, a communications compliance platform that brings mobile capture, surveillance, investigations, archiving, alert detection and voice transcription into a single interface.

The platform is designed for investment banks, hedge funds and asset managers monitoring communications across voice, mobile and digital channels. The announcement cites WhatsApp and Bloomberg chat among the sources contributing to growing data volumes and fragmented compliance processes.

VX1 consolidates communications data and workflows that may otherwise sit across separate capture, surveillance and investigation systems. VoxSmart said this unified approach will help compliance teams investigate communications linked to potentially suspicious trading activity.

The platform also embeds artificial intelligence (AI) within alert management and investigation workflows. VoxSmart describes its approach as human-led: AI can help analysts summarise, prioritise and investigate alerts, while people retain responsibility for compliance decisions.

“Firms are already seeing the greatest value from AI when it helps analysts summarise, prioritise and investigate alerts more effectively, rather than attempting to replace their judgement,” said Oliver Blower, chief executive officer of VoxSmart.

VoxSmart argues that bringing capture, communications data and investigation workflows together provides a more complete foundation for AI-assisted surveillance. Fragmented data could leave models and analysts working from an incomplete record, even where the surveillance technology itself is sophisticated.

“When communications are fragmented across different channels and systems, firms risk building increasingly sophisticated surveillance on top of incomplete foundation,” Blower said. “VX1 brings that data and those workflows together, giving firms the visibility and control they need to use AI confidently, while ensuring every decision remains explainable and accountable to a human.”

Shield Connects Live Surveillance Alerts to Enterprise AI Tools with MCP

Shield has made its Model Context Protocol (MCP) Server generally available, allowing authorised compliance teams to query live surveillance alerts through supported enterprise AI tools. Claude is the first supported AI environment, with further integrations planned.

The server provides a permissioned, read-only route between an AI interface and Shield Surveillance. Shield remains the system of record, while each request inherits the user’s existing access rights. This prevents the AI tool from exposing alerts that the user is not authorised to view.

Users can query alert information across the communications channels and data sources captured by Shield. Available information includes alert volumes, service-level agreement status, risk scores, ownership and investigation status. The server can return data in structured formats and visualise it within supported AI environments.

A compliance officer could ask the AI tool to identify the week’s highest-risk alerts or break down the alert queue by status and reviewer workload. The user does not need to leave the AI interface or open a separate Shield assistant to retrieve the information.

The release extends Shield’s existing governance of AI communications. Its platform already captures and monitors interactions conducted through AI tools. The MCP Server adds access in the other direction by making Shield’s surveillance information available within approved AI environments.

“The future is not another proprietary compliance assistant,” said Tamar Sharir Beiser, chief product officer at Shield. She said firms should be able to bring their existing compliance platforms and intelligence into their chosen AI environments under governed access.

The first release is limited to alert information and does not permit users or AI tools to change records or initiate actions. Shield plans to extend the connection to search, case management and communications review. Later releases are also expected to support workflow actions.

Shield cited research showing that integration remains an obstacle to enterprise AI adoption. The company’s approach uses the open MCP standard to connect AI tools with an established surveillance platform while retaining existing permissions and controls. For compliance teams, the implementation separates access through an AI interface from control over the underlying surveillance record.

CUBE Adds Agentic Coworkers to Embed Regulatory Intelligence into Enterprise Wide Workflows

CUBE has added three agentic artificial intelligence tools to its RegPlatform regulatory intelligence platform, extending its automation across regulatory change monitoring, analysis and enforcement tracking.

The Priorities, Analysis and Enforcements “coworkers” are available to existing RegPlatform customers. Application programming interface access allows firms to embed the tools within their existing compliance and risk systems rather than operate them as separate applications.

Priorities Coworker assesses incoming regulatory developments for their relevance to each organisation. It surfaces updates requiring attention while deprioritising those unlikely to require action. CUBE said early customer testing showed an 80% to 90% reduction in effort spent reviewing irrelevant developments.

The company’s 2025 Cost of Compliance Report found that 82% of surveyed firms track between 26 and 100 regulatory developments each month. However, 45% said fewer than half of those developments required action, while one fifth said the proportion was below 25%.

Analysis Coworker allows compliance teams to question applicable updates, laws and regulations using natural language. It returns structured answers based on the regulatory intelligence held for that organisation, reducing the manual work involved in searching and cross-referencing source material.

Enforcements Coworker brings fines and regulatory notices from multiple jurisdictions into a continuously updated view. It extracts related risk themes and obligations and categorises enforcement pressure by regulator, topic and severity. This could help firms connect regulatory developments with their own risk and control priorities, although the announcement does not specify how recommendations are reviewed or approved.

“Compliance and risk teams at financial services firms have always had access to regulatory intelligence from CUBE. What the agentic coworkers provide is the ability to filter any noise with incredible precision, answer compliance and risk team questions, and perform the repetitive work – all of which is delivered proactively within customer’s existing systems and operating models,” said James Mackonochie, CUBE’s Global Executive Head of Product.

The agents operate within RegPlatform’s existing Microsoft Azure infrastructure and are available through Microsoft Marketplace. CUBE said integration into a customer’s infrastructure typically takes less than two weeks and requires no changes to existing infrastructure.

KOR Launches Australian Trade Repository for ASIC Derivatives Reporting

KOR has begun accepting submissions through its Australian derivative trade repository (ADTR), giving reporting entities a second licensed repository option for complying with the Australian Securities and Investments Commission’s (ASIC’s) Derivative Transaction Rules.

The repository supports all reportable asset classes and client segments. Its launch follows ASIC’s decision to grant KOR an ADTR licence, making Australia the latest market in which KOR operates licensed trade repository infrastructure.

The opening comes as ASIC increases its scrutiny of derivatives reporting following the revised rules introduced in October 2024. KOR said regulatory fines and data-quality assessment reports have placed greater pressure on firms to improve the completeness and accuracy of their submissions.

KOR’s repository provides sub-second message processing, aggregated explanations for rejected messages and real-time grouping of rejections. The company said these functions can help reporting teams identify systemic submission problems and understand how rejected reports should be corrected. Clients can also access reporting histories on demand and test their submissions in an environment designed to operate at production-level performance.

“A reporting team should be able to have a well explained reason for why a message was rejected and how to correct it, have a TR that is always open to receive data, and a support staff who are experts in the regulations,” said Jonathan Thursby, Chief Executive Officer of KOR. “That is not an ambitious standard for a trade repository. It is the baseline.”

Firms moving open trades or positions to KOR must send a port-out message to their incumbent repository and a corresponding port-in message to KOR. The same unique transaction identifier (UTI) is retained, avoiding the need to re-key trades or reconstruct their reporting history. Closed trades and positions remain at the previous repository. KOR said it will manage the porting process for users of its reporting services.

The Australian operation extends KOR’s licensed trade repository coverage beyond the United States, where it operates repositories regulated by the CFTC and SEC, and Canada. Its wider reporting platform also supports obligations in the EU, UK and Singapore.

Confluence Embeds AI Validation and Conversational Controls in POINT Launch

Confluence Technologies has launched Confluence POINT, an artificial intelligence-enabled layer designed to automate work surrounding its regulatory reporting, analytics and investor communications products.

The first capabilities address two distinct parts of the investment-management workflow. POINT Validation reviews financial and regulatory reporting documents, while a conversational interface allows users of Confluence Revolution to query data and initiate processes using plain English.

POINT Validation can process structured and unstructured documents across multiple formats. It applies an automated checklist, records an audit trail for each finding and flags errors for follow-up. Confluence said the process can be completed within minutes, reducing the manual checks that often follow automated report production.

The capability extends automation beyond generating a report. Validation remains a separate control, but POINT is intended to perform the initial review and direct users towards exceptions requiring attention. The audit trail should also give firms a record of what the system checked and which issues it identified.

Within Revolution, Confluence’s multi-asset performance, attribution and risk platform, users can ask questions or start processes through a conversational interface. The interface is also available through Microsoft Excel, allowing users to work with Revolution data and functionality without exporting information or moving between systems.

Confluence plans to add further POINT capabilities across its product suite. Mark Evans, founder and chief executive officer, said: “This is a long-term commitment, and you will see our AI capability continue to grow across our entire product suite in the months ahead.”

The initial release therefore applies embedded AI to two different operational problems: document validation and access to analytics. Its practical value will depend on the quality of the automated checks, the usefulness of the audit records and the controls governing actions initiated through natural-language instructions.

Napier AI and Delta Capita Link KYC and AML Workflows

Napier AI and Delta Capita have formed a partnership that combines client onboarding and Know Your Customer (KYC) processes with anti-money laundering (AML) screening and transaction monitoring.

The companies will connect Delta Capita’s Karbon client lifecycle management platform with Napier AI Continuum. Napier’s contribution covers client screening, transaction monitoring and transaction screening. Delta Capita will provide KYC technology, advisory expertise and managed services.

The combined proposition is intended to support financial institutions from initial onboarding through ongoing monitoring and investigation. It targets a common operational problem: KYC and AML functions often rely on separate systems, teams and processes, creating manual handovers and duplicated work.

According to the announcement, connecting these functions could reduce onboarding delays and investigation volumes. The companies also expect the partnership to help institutions lower false positives, establish more consistent processes and maintain clearer audit trails. The release does not provide performance data or implementation examples supporting these expected benefits.

Greg Watson, chief executive officer of Napier AI, said: “Financial institutions are under pressure to manage increasingly complex fincrime risks while simultaneously deliver faster, more accurate and seamless experiences for customers. Our partnership with Delta Capita brings together complementary technology and expertise to give institutions a more connected approach across the compliance lifecycle. By reducing manual handovers, this enables institutions to focus their resources on genuine risk, meaning they can achieve stronger customer, operational and regulatory outcomes.”

The partnership also gives institutions the option to combine technology with advisory and outsourced operational support, rather than procuring each component separately. The companies said this would allow firms to adapt the service to their operating requirements.

Sean Vickers, CLM Chief Commercial Officer and Global Head of CLM advisory at Delta Capita, said “Institutions crucially must understand who their customers are and maintain this understanding as relationships and risks evolve. Through our partnership with Napier AI, combining Continuum with our Karbon platform, we’re able to create a compelling offering for institutions to transform both their systems and operating models, simplifying complex processes, improving processes and building compliance operations that are more efficient, accountable and scalable.”