Precisely Adds Mainframe Software Visibility to ServiceNow Marketplace

Precisely has released Ironstream z/OS Software Discovery for ServiceNow, which automatically identifies z/OS software installed on mainframes and synchronises the inventory data with the ServiceNow Configuration Management Database.

The latest product is available through the data integrity specialist’s ServiceNow Store. It enables the replacement of manual tracking via spreadsheets to establish a continuous system of record for mainframe assets.

It brings trusted mainframe data into ServiceNow so customers can reduce risk, simplify compliance, and manage their entire information technology environment, said Marianne Roling, senior vice president of global channel and ecosystems at Precisely.

The integration allows organisations to incorporate mainframe systems into enterprise-wide software asset management programmes to support regulatory compliance and vendor audits.

Precisely previously developed other applications in the Ironstream portfolio and the company builds these solutions as a partner within the ServiceNow partner programme.

Bloomberg Builds Out Pre-Trade TCA Functionality to Fixed Income

Bloomberg has launched a new pre-trade transaction cost analysis (TCA) model to assist fixed-income market participants with trading decisions.

The system calculates potential costs, executable volumes, and the likelihood of execution for sovereign and corporate bonds. The model uses five years of historical transaction data alongside factors such as bond age, currency and the real-time bid-ask spread.

The model builds on Bloomberg’s TCA offerings, which have long catered for equities traders. It provides trusted pre-trade price discovery and an automatic connection to post-trade analysis that ensures a valuable feedback loop for traders.

“Developing a native model in fixed income markets is an exciting step forward to providing bond traders and portfolio managers with greater pre-trade intelligence,” said Ravi Sawhney, Bloomberg global head of trade automation and analytics.

“The inclusion of pre-trade cost and probability estimates as part of the BTCA offering promotes market transparency and helps bond traders to make decisions that comply with their firms’ best execution requirements.

Robinhood Chain Launches with Dedicated Public Trading Pool

The Public Mainnet of Robinhood Chain has officially launched, creating a new institutional-grade Layer 2 blockchain built on the Arbitrum platform. The new chain connects directly to Robinhood’s base of onchain users and features tools for lending and borrowing. Focused on real-world assets, it offers application developers fast transaction speeds and was built with technology partners Alchemy, BitGo, and Chainlink.

The chain’s ecosystem supports a number of day-one partners to provide initial liquidity. Uniswap, a leading decentralised crypto exchange, is deploying a dedicated Automated Market Maker (AMM) to serve as the chain’s main public trading pool. Additionally, the Pleiades AMM will offer a private trading venue, helping to integrate advanced decentralised financial tools into everyday professional workflows.

Robinhood announced its mainnet alongside a slew of other offerings, including tokenised stock trading available in 120+ countries (but currently not the US, Canada or the UK) and agentic AI-driven crypto trading.

Bloomberg Taps Kaiko to Add Broadridge’s Onchain Data to its Terminal

Bloomberg has added Broadridge’s Distributed Ledger Repo (DLR) platform data to its Terminal, marking the first time the service has included live data from a blockchain-native fixed income market. Distributed through Kaiko’s regulated data infrastructure, Bloomberg now publishes daily repo par value, turnover, and trade count alongside traditional fixed income data.

This development is a significant milestone for institutional investor workflows. The DLR platform currently processes $7.5 trillion in monthly volume (a 457% year-over-year increase) and handles $362 billion in daily settlements.

Kaiko provided the technology bridge from data held on Broadridge’s DLT to Bloomberg’s formatting, entitlement, and compliance standards.

LSEG Data Now Available to Clients via Databricks

LSEG has expanded its partnership with data and artificial intelligence company Databricks to make more than 50 datasets from its Quantitative Analytics Database available on the Databricks Marketplace.

The expansion utilises OpenSharing, an open protocol for sharing data and artificial intelligence assets, to grant clients direct access to financial and economic data within their Databricks environments.

The integration operates through entitlement-controlled access across cloud environments and incorporates Unity Catalog to provide centralised data governance, tracking and usage auditing.

“This partnership simplifies how organizations integrate financial intelligence into their workflows,” said Databricks chief executive Ali Ghodsi.

The available datasets cover company fundamentals, market pricing, fixed income and risk analytics to support portfolio construction and machine learning model testing and it builds on the existing availability of Lipper Fund Data and Cross Asset Analytics within the ecosystem. There are also plans to add Tick History and reference data.

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.

Lloyds Joins Integral’s Network as an FX Liquidity Provider

Integral, the currency technology provider, has added Lloyds to its ecosystem as a liquidity provider. The partnership is designed to expand Integral’s institutional foreign exchange (FX) network.

The integration enables Integral’s global clients to access Lloyds’ FX pricing for key currency products through a single technology system. By adding the bank to its platform, Integral aims to provide its users with greater pricing depth, increased workflow efficiency, and improved execution quality across major currency pairs, supporting price formation for various trading strategies.

FIX Trading Community Releases Standardised Outage Communication Practices

The FIX Trading Community has introduced a standard methodology, the Outage Communication Recommended Practices, to automate the electronic communication of market outages. Previously, outage notifications were inconsistent and largely manual, which often worsened the impact of technical disruptions. This new framework allows exchanges and market participants to issue timely, consistent updates and resolutions.

The initiative responds directly to regulatory guidance from the European Securities and Markets Authority (ESMA) and the Financial Conduct Authority (FCA), alongside industry bodies such as AFME, EFAMA, and FIA EPTA, who have all called for harmonised outage protocols. The practices build upon existing frameworks for European consolidated tapes while offering greater granularity.

Designed to be asset-class agnostic, the framework covers trading, market data, and other technical disruptions across all scopes, from individual instruments to entire markets. It applies broadly to venues, brokers, asset managers, and data providers, ensuring a unified approach to managing system failures.