FinregE Framework Links Early Regulatory Signals to Policy and Control Changes

FinregE has published a seven-step process for identifying emerging regulatory requirements and preparing operational changes before rules take effect.

The framework, detailed in Regulatory Horizon Scanning: Proactive Compliance in 2026, addresses the “implementation lag” between an early policy signal and the changes required across products, budgets, policies and controls.

FinregE argues that waiting until legislation is enacted can create a “compliance crunch,” forcing firms to implement requirements under tighter deadlines and at higher cost. It identifies artificial intelligence, climate finance and digital assets as areas where policy changes can outpace internal decision-making.

“Waiting for regulations to hit is no longer an option,” says Rohini Gupta, CEO of FinregE. She argues that firms have less scope to adapt products and strategies once a rule becomes law, while implementation costs can increase.

The process moves a potential regulatory change from initial detection through to implementation. Early inputs include draft legislation, committee debates and policy white papers. Firms can assess these “weak signals,” determine their likely business impact and prepare changes before a mandate takes effect.

“The Seven-Step Horizon Scanning Process is a continuous, circular methodology designed to transform raw regulatory ‘noise’ (early signals of change) into structured business action,” Gupta explains.

The guide also examines what FinregE calls the “AI Paradox.” Regulatory information can exceed the capacity of manual monitoring, but machine-led analysis carries the risk of misinterpreting legal or policy developments. FinregE recommends that artificial intelligence support scanning and summarisation while subject-matter experts retain authority over legal interpretation and risk assessment.

According to FinregE, case studies involving global systemic banks indicate that proactive scanning can shorten implementation timelines from months to weeks. The company also associates earlier preparation with lower last-minute consultancy costs and reduced exposure to enforcement penalties.

FinregE places horizon scanning within its wider Regulatory Operating System. The proposed workflow links an early warning to impact assessment, policy updates, control changes and evidence that implementation has been completed.

The guide includes Impact Assessment Worksheets and a Vendor Selection Matrix and is available through the FinregE Insights pages.

Kyckr Revenue Grows 46% as Demand Rises for Live Registry Data

KYB data provider Kyckr has reported 46% revenue growth for the financial year ended June 2026, which it described as its strongest performance in two decades. The company attributes the increase to regulatory pressure in Australia and North America, where firms face growing scrutiny of the data supporting their compliance controls.

Kyckr said regulated firms face growing pressure to show that their KYB processes draw on verified, current company information rather than static third-party data. The company cited a McKinsey estimate that the financial industry detects around 2% of global financial crime flows whilst its own research found that poor data was a factor in 68% of UK Financial Conduct Authority (FCA) enforcement actions over the past five years.

The company added 45 clients during the year, including a Global Systemically Important Bank (G-SIB). The new client joins six G-SIBs already supported by the company. Its network has also passed 50 AML orchestration partners. Recent additions include UBO data provider Athennian in North America and legal-tech SaaS provider Infotrack in Australia.

Kyckr has reshaped its senior team since appointing Steve Lamb as chief executive in August 2025. Lamb previously served as the company’s head of product and chief operating officer. Subsequent appointments include former Equiniti executive Ian Jones as chief technology officer and former Thirdfort executive Andrew Kellett as head of customer delivery. Kyckr has also recruited commercial staff from Veriff and Moody’s.

Now entering its 20th year, Kyckr connects regulated firms to more than 300 official company registry sources worldwide. The company built the network to address fragmented and inconsistent corporate registry data across jurisdictions.

“The foundational KYB requirements for regulated firms are shifting, and demand for live company register data is only going to increase further,” said Lamb.

During the second half of 2026, Kyckr plans further investment in its registry network and a programme of product launches. The company is also preparing for the move towards reusable business identities under the European Business Wallet framework.

HACA Partners Selects Muinmos for Enhanced KYC/AML Capabilities

Luxembourg-based audit and consulting firm HACA Partners has selected Muinmos’ KYC and AML screening as it seeks to reduce manual processing and apply more consistent risk controls.

The Luxembourg-based audit and consulting firm, which supports more than 500 clients operating internationally will use the technology for checks on its own clients, its clients’ customers and work undertaken through its outsourced regulatory compliance service.

HACA’s previous screening approach included several manual processes and relied partly on individual analyst judgement. As HACA’s screening requirements grew, this made reviews more time-consuming and created a greater risk of inconsistent decisions. The new platform is intended to provide a scalable screening process, configurable risk policies and a complete audit trail for governance and regulatory review.

The system screens against more than 2,200 watchlists covering over 200 jurisdictions. HACA can also apply its own risk-based policies, thresholds and matching parameters rather than relying on standardised screening logic.

Cédric Leroy, Partner, Regulatory & Compliance at HACA, says the decision reflected the provider’s regulatory expertise, screening coverage and integration model. “Our decision to select Muinmos was driven by three converging factors. First, the depth of regulatory and compliance expertise embedded in the Muinmos team gave us confidence that the platform was built by practitioners who understand the real-world constraints of AML/CFT compliance – not just a technology product designed in isolation from regulatory requirements. Secondly, the comprehensiveness of the screening data was decisive, providing a level of coverage that is impossible to replicate manually. Thirdly, and critically for our operational model, the platform can be integrated via a single API into any existing system, CRM or workflow, which means we can embed it seamlessly into our own processes without disrupting existing client-facing operations.”

Copenhagen based Muinmos uses orchestrated artificial intelligence agents and machine learning to triage alerts, enrich screening results and escalate cases requiring attention. Its decisioning capabilities include configurable fuzzy matching, name transliteration, alias detection and date-of-birth checks, while HACA retains control over its compliance process.

The platform is also designed to respond automatically to changes in watchlists, rules and risk signals. This is particularly relevant to targeted financial sanctions, where firms may need to reflect changes quickly without waiting for manual system updates.

Remonda Kirketerp-Møller, Founder and CEO of Muinmos, described HACA Partners as an early adopter of AI-enabled compliance within a traditionally cautious sector. She said the firm’s approach is intended to strengthen compliance processes, improve client service and support business growth, while reflecting a shared emphasis on governance and regulatory rigour. “We are excited about the value we can add to HACA’s business, locally and globally, through our automated KYC/AML platform.”

Muinmos says its screening agent can reduce false positives by 76%. The company also reports onboarding times of up to 96% faster and a 32% reduction in onboarding-related expenses across its client base. HACA expects the deployment to improve screening responsiveness and reduce the volume of manual reviews, although the announcement does not provide the methodology or baseline used to calculate the performance figures.

BridgePort Pilots Digital Asset Master Agreement to Streamline Off-Exchange Settlement Onboarding

Institutional digital-asset firms may be able to trade without placing assets directly on an exchange, but establishing the legal relationships behind that model can remain a lengthy process. BridgePort is seeking to reduce that friction with a common contractual framework for off-exchange settlement arrangements involving trading firms, custodians and execution venues.

The company is piloting the Digital Asset Master Agreement (DAMA), a reusable legal template intended to replace some of the bespoke negotiations required whenever counterparties establish a new off-exchange settlement relationship. BridgePort is forming a working group of trading firms, custodians and exchanges to test the framework across live arrangements.

Off-exchange settlement allows a trading firm to retain assets with a custodian while trading across multiple venues. The structure can reduce assets held directly at exchanges and make collateral available across a wider range of trading relationships. Its practical benefits, however, depend on agreements defining how collateral, credit, settlement and default will be handled between the three parties.

Those agreements can take months to negotiate because each relationship may involve different custody structures, regulatory obligations and operational processes. DAMA is designed to provide a common set of definitions and contractual provisions while preserving the ability to configure the terms for individual counterparties.

The framework can, for example, specify whether collateral is held in trust or pledged under a security interest. Participants can also determine whether DAMA operates independently or refers to an existing International Swaps and Derivatives Association agreement.

“The infrastructure for off-exchange settlement is largely in place,” said Nirup Ramalingam, CEO of BridgePort. “The next phase of this market depends on standardizing the legal foundation beneath it, as has happened in every institutional market before. A shared standard lowers the barrier to entry and gives the market room to scale. DAMA will give the industry that foundation.”

The agreement covers four areas that can create legal and operational uncertainty in off-exchange settlement relationships.

Its custody provisions define how collateral is safeguarded and segregated, including whether assets are held in trust or pledged. Settlement terms address how credit is extended against that collateral, how balances are reconciled and how the settlement cycle operates.

The operational provisions establish how parties respond to erroneous transfers, failed settlements and outages affecting the balance information exchanged between custodians and venues. Default and termination clauses cover events such as venue insolvency or failure, together with close-out procedures, termination rights and the return of collateral.

Standardising these provisions could reduce the amount of legal work required for each new connection. The wider effect will depend on whether custodians, venues and trading firms are prepared to adopt the framework rather than continue using their own agreements.

“The long-term value of standardization extends well beyond faster onboarding,” said Steve Bartfield, chief product officer at BridgePort. He added that commonly adopted frameworks could allow market participants, law firms and industry bodies to develop legal analysis, operational expertise and market practices that can be reused across the sector.

DAMA takes inspiration from the role that master agreements play in established financial markets, but it is intended specifically for the tri-party relationships underpinning digital-asset off-exchange settlement. The pilot will test whether a shared foundation can accommodate different regulatory, commercial and custody models without recreating the agreement for every relationship.

BridgePort provides middleware for coordinating credit allocation and post-trade activity between trading firms, exchanges and custodians. DAMA extends that coordination proposition into the legal layer, addressing an onboarding constraint that technology integrations alone cannot resolve.

MAS Moves Agentic AI Governance From Model Oversight to Runtime Control

The Monetary Authority of Singapore (MAS) has published an industry white paper proposing a runtime governance framework for AI agents operating in financial services, marking a shift from static model oversight towards controls that operate at the point an autonomous system acts.

The paper, Safeguards for Agentic Finance at Runtime (SAFR), was developed with financial institutions and FinTech firms under MAS’ BuildFin.ai initiative, which supports the responsible development and deployment of artificial intelligence in the financial sector. MAS says the framework is designed to enable AI agents to carry out financial tasks “safely, securely and reliably”.

The operating issue is that agentic AI systems can initiate or complete tasks at a speed and scale that makes manual intervention impractical. SAFR responds by defining governance checkpoints that verify and record an AI agent’s proposed actions before execution, keeping activity within the mandates, policies and risk limits set by the financial institution.

For compliance, risk and technology teams, the framework points to a more operational form of AI assurance. Controls such as policy-bound execution, real-time validation, auditability and interoperability are embedded into workflows, rather than applied only through pre-deployment review or post-event monitoring. The practical effect is to shift governance closer to the execution layer, where an AI agent requests authority to act.

Industry participants have tested the approach across payments and treasury operations, wealth management and compliance review, and client engagement. Reported examples include agents handling routine payments and treasury transactions within predefined limits, reviewing documents and generating structured compliance assessments, and drafting client materials within approved content boundaries.

SAFR builds on MAS’ Project MindForge AI Risk Management Toolkit by focusing on how safeguards can be operationalised at the point of action for AI agents. The framework also extends MAS’ BuildFin.ai work by moving responsible AI deployment into live system operations, where agent actions can be authorised, validated and recorded before execution.

SAFR is significant because it treats agentic finance as an execution-risk problem as much as a model-risk problem. Traditional AI governance frameworks have focused on inputs, outputs, explainability, testing and accountability. Agentic systems add a further control question: whether the system should be allowed to take a specific action, in a specific context, at a specific point in time.

That has direct implications for RegTech architecture. Firms deploying AI agents in regulated workflows will need evidence that actions were authorised, exceptions were escalated, and decision records can be reconstructed for audit, supervision and incident review. MAS has invited further industry participation in future SAFR iterations, while the Future of Finance Institute will support adoption through industry pilots and sandbox experimentation.

Regnology to Acquire Fed Reporter

Regnology is moving to deepen its position in the U.S. regulatory reporting market through a planned acquisition of Fed Reporter, a U.S. provider of regulatory reporting solutions used by banks, credit unions and bank holding companies.

The transaction would extend Regnology’s U.S. reach to more than 4,000 institutions, from global banks to community lenders, and broaden its coverage across the American financial landscape. For Regnology, the deal adds a more embedded “last-mile” reporting capability, strengthening its ability to connect upstream data, reporting workflows and final regulatory submission.

“This is the next step in our U.S. strategy. We’ve built strong capabilities and relationships across the market: Fed Reporter extends that reach into the US financial landscape, completing our coverage from Wall Street to Main Street,” said Rob Mackay, CEO of Regnology.

The acquisition follows earlier strategic moves by Regnology in broker-dealer reporting and enterprise-grade regulatory reporting solutions for global institutions. Fed Reporter adds local market expertise and client relationships across banks, credit unions and bank holding companies, including smaller and community-based institutions where reporting support often depends as much on practical implementation knowledge as on platform capability.

The strategic direction is consistent with a wider regulatory reporting market shift towards cleaner data, greater transparency and more direct linkage between firm-side reporting processes and supervisory consumption.

Mackay positioned the deal as part of a broader regulatory modernisation strategy. “Our goal is to be a long-term partner in regulatory modernization. By combining trusted, mission-critical solutions with continued innovation, including more intelligent and automated reporting, we help institutions and regulators manage complexity, improve data quality, and move forward with confidence.”

Alexander Grimm, Head of Americas at Regnology, said the acquisition brings together local expertise and global technology. “We are excited to welcome the highly respected Fed Reporter team into our organization. Their expertise and client relationships are unmatched, and together we combine deep local knowledge with global technology to better serve the entire U.S. market.”

Bruce Gall, CEO of Fed Reporter, said the company’s clients would continue to receive familiar support within a larger operating structure. “This is a strong step forward for our clients and team. We will continue to deliver the simplicity and expert support our clients trust, now backed by the scale and long-term vision of Regnology.”

The transaction remains subject to customary regulatory approvals and is expected to close in the coming months.

AutoRek Announces Major Advancement to AutoRek ARIA as Demand for AI Driven Financial Controls Accelerates

AutoRek has updated its ARIA platform as firms continue to focus on reducing operational friction in reconciliation while maintaining auditability and control. The latest release centres on automating rule creation, shortening configuration timelines, and improving visibility into matching decisions – areas that have traditionally required significant manual intervention.

The update introduces automated rule generation for complex matching scenarios and reduces configuration time for routine reconciliations to under 30 minutes. It also expands pattern recognition to limit manual investigation, alongside enhanced dashboards designed to provide real-time oversight of reconciliation processes. Explainability features have been extended to support audit and regulatory review, reflecting ongoing supervisory expectations around transparency in automated decision-making.

Since its launch in September 2025, AutoRek ARIA has been positioned as a regulatory-grade intelligence layer for reconciliation and financial controls. Reported outcomes include automated match rates of up to 99.99%, alongside a 95% reduction in time spent evaluating manual matches and a 90–95% reduction in the time required to create new match rules. The latest iteration builds on this by targeting more complex workflows and scaling automation across higher-volume environments.

“Financial institutions are under pressure to operate faster, with greater accuracy and stronger oversight,” said Chris Livesey, CEO of AutoRek. “AutoRek ARIA brings regulatory?grade intelligence to one of the most operationally intensive areas of finance. This release represents a step?change in how firms can automate reconciliation at scale while maintaining the transparency and governance regulators expect.”

The direction of travel aligns with broader industry shifts, where reconciliation is increasingly treated as a control function rather than a back-office task. The emphasis on explainability and oversight reflects regulatory scrutiny on how automated processes can be evidenced, particularly in environments where firms must demonstrate both accuracy and control effectiveness.

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.

Sumsub Adds Agentic Compliance Configuration Through MCP Integration

Sumsub has launched a Model Context Protocol (MCP) integration and a suite of AI agent skills designed to let compliance teams use large language model-based agents to configure and manage verification workflows.

The new capability allows teams to upload anti-money laundering (AML) policies or regulatory requirements to AI agents such as Claude, ChatGPT or other leading models, and use those agents to generate Sumsub workflow configurations directly from the source document. In practice, that means country-specific risk brackets, weighted scoring tables and conditional onboarding logic can be translated into verification levels, risk questionnaires and onboarding workflows inside the customer’s Sumsub dashboard.

The development addresses one of the more time-consuming parts of compliance technology implementation: translating policy and regulatory requirements into operational settings. Traditionally, that work has required solution architects or technical teams to interpret AML policies, map requirements to platform controls and build onboarding workflows manually. Sumsub says a setup that previously could take days can now be completed in minutes.

The release also extends agentic functionality beyond workflow setup. AI agents can be used to support technical integration, including writing code to embed Sumsub verification into a customer onboarding flow. Day-to-day use cases include reviewing applicants, running analytics, generating verification links and responding to regulatory changes.

“Setting up a compliance workflow has always required significant manual effort, and updating it when regulations change requires even more,” said Andrew Novoselsky, Chief Product Officer at Sumsub. “Our Agentic experience changes that by connecting an AI agent directly to the configuration layer of the platform — a team can take their AML policy, hand it to an AI agent, and have their full environment built automatically. That is a fundamentally different category of capability from what has been available in this space.”

The integration is model-agnostic and is designed to work with leading AI agents. Sumsub has also published an open-source set of agent skills on GitHub, which can be installed with a single terminal command.

The MCP integration builds on Sumsub’s broader AI strategy, including Summy, its AI Copilot for compliance and fraud teams inside the platform. Sumsub is positioning the release as part of a shift toward compliance infrastructure that can operate alongside the AI tools and workflows used by operational, compliance and technical teams.

Sumsub says access to the MCP integration is controlled through separate permissions to support granular data governance. Sensitive actions are performed in an isolated sandbox, with configuration changes reviewed and approved by a human before being applied.

The integration is available now. Sumsub says it is the first verification platform to be officially listed on the ChatGPT Apps platform, with further discussions ongoing with additional large language model providers. Documentation and agent skills are available through Sumsub’s developer resources.