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Cohen & Steers Infrastructure Fund, Inc. (UTF) Notification of Sources of Distribution Under Section 19(a)

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NEW YORK, Dec. 17, 2024 /PRNewswire/ — This press release provides shareholders of Cohen & Steers Infrastructure Fund, Inc. (NYSE: UTF) (the “Fund”) with information regarding the sources of the distribution to be paid on December 31, 2024 and cumulative distributions paid fiscal year-to-date.

In March 2015, the Fund implemented a managed distribution policy in accordance with exemptive relief issued by the Securities and Exchange Commission. The managed distribution policy seeks to deliver the Fund’s long-term total return potential through regular monthly distributions declared at a fixed rate per common share. This policy gives the Fund greater flexibility to realize long-term capital gains throughout the year and to distribute those gains on a regular monthly basis to shareholders. The Board of Directors of the Fund may amend, terminate or suspend the managed distribution policy at any time, which could have an adverse effect on the market price of the Fund’s shares.

The Fund’s monthly distributions may include long-term capital gains, short-term capital gains, net investment income and/or return of capital for federal income tax purposes. Return of capital includes distributions paid by the Fund in excess of its net investment income and net realized capital gains and such excess is distributed from the Fund’s assets. A return of capital is not taxable; rather, it reduces a shareholder’s tax basis in his or her shares of the Fund. In addition, distributions from the Fund’s investments in MLPs are attributed to various sources, including net investment income and return of capital. The amount of monthly distributions may vary depending on a number of factors, including changes in portfolio and market conditions.

At the time of each monthly distribution, information will be posted to cohenandsteers.com and mailed to shareholders in a concurrent notice. However, this information may change at the end of the year because the final tax characteristics of the Fund’s distributions cannot be determined with certainty until after the end of the calendar year. Final tax characteristics of all of the Fund’s distributions will be provided on Form 1099-DIV, which is mailed after the close of the calendar year.

The following table sets forth the estimated amounts of the current distribution and the cumulative distributions paid this fiscal year-to-date from the sources indicated. All amounts are expressed per common share.

DISTRIBUTION ESTIMATES

December 2024

YEAR-TO-DATE (YTD)

December 31, 2024*

Source

Per Share
Amount

% of Current
Distribution

Per Share
Amount

% of 2024
Distributions

Net Investment Income

$0.1023

66.00 %

$0.8884

47.76 %

Net Realized Short-Term Capital Gains

$0.0000

0.00 %

$0.0000

0.00 %

Net Realized Long-Term Capital Gains

$0.0527

34.00 %

$0.9716

52.24 %

Return of Capital (or other Capital Source)

$0.0000

0.00 %

$0.0000

0.00 %

Total Current Distribution

$0.1550

100.00 %

$1.8600

100.00 %

You should not draw any conclusions about the Fund’s investment performance from the amount of this distribution or from the terms of the Fund’s managed distribution policy. The amounts and sources of distributions reported in this Notice are only estimates, are likely to change over time, and are not being provided for tax reporting purposes. The actual amounts and sources of the amounts for accounting and tax reporting purposes will depend upon the Fund’s investment experience during the remainder of its fiscal year and may be subject to changes based on tax regulations. The amounts and sources of distributions year-to-date may be subject to additional adjustments.

*THE FUND WILL SEND YOU A FORM 1099-DIV FOR THE CALENDAR YEAR THAT WILL TELL YOU HOW TO REPORT THESE DISTRIBUTIONS FOR FEDERAL INCOME TAX PURPOSES.

The Fund’s Year-to-date Cumulative Total Return for fiscal year 2024 (January 1, 2024 through November 30, 2024) is set forth below. Shareholders should take note of the relationship between the Year-to-date Cumulative Total Return with the Fund’s Cumulative Distribution Rate for 2024. In addition, the Fund’s Average Annual Total Return for the five-year period ending November 30, 2024 is set forth below. Shareholders should note the relationship between the Average Annual Total Return with the Fund’s Current Annualized Distribution Rate for 2024. The performance and distribution rate information disclosed in the table is based on the Fund’s net asset value per share (NAV). The Fund’s NAV is calculated as the total market value of all the securities and other assets held by the Fund minus the total liabilities, divided by the total number of shares outstanding. While NAV performance may be indicative of the Fund’s investment performance, it does not measure the value of a shareholder’s individual investment in the Fund. The value of a shareholder’s investment in the Fund is determined by the Fund’s market price, which is based on the supply and demand for the Fund’s shares in the open market.

Fund Performance and Distribution Rate Information:

Year-to-date January 1, 2024 to November 30, 2024

Year-to-date Cumulative Total Return1

21.46 %

Cumulative Distribution Rate2

7.19 %

Five-year period ending November 30, 2024

Average Annual Total Return3

7.49 %

Current Annualized Distribution Rate4

7.19 %

1.

Year-to-date Cumulative Total Return is the percentage change in the Fund’s NAV over the year-to-date time period including distributions paid and assuming reinvestment of those distributions.

2.

Cumulative Distribution Rate for the Fund’s current fiscal period (January 1, 2024 through December 31, 2024) measured on the dollar value of distributions in the year-to-date period as a percentage of the Fund’s NAV as of November 30, 2024.

3.

Average Annual Total Return represents the compound average of the Annual NAV Total Returns of the Fund for the five-year period ending November 30, 2024. Annual NAV Total Return is the percentage change in the Fund’s NAV over a year including distributions paid and assuming reinvestment of those distributions.

4.

The Current Annualized Distribution Rate is the current fiscal period’s distribution rate annualized as a percentage of the Fund’s NAV as of November 30, 2024.

Investors should consider the investment objectives, risks, charges and expense of the Fund carefully before investing. You can obtain the Fund’s most recent periodic reports, when available, and other regulatory filings by contacting your financial advisor or visiting cohenandsteers.com. These reports and other filings can be found on the Securities and Exchange Commission’s EDGAR Database. You should read these reports and other filings carefully before investing.

Shareholders should not use the information provided here in preparing their tax returns. Shareholders will receive a Form 1099-DIV for the calendar year indicating how to report Fund distributions for federal income tax purposes.

Website: https://www.cohenandsteers.com
Symbol: (NYSE: CNS)

About Cohen & Steers. Cohen & Steers is a leading global investment manager specializing in real assets and alternative income, including listed and private real estate, preferred securities, infrastructure, resource equities, commodities, as well as multi-strategy solutions. Founded in 1986, the firm is headquartered in New York City, with offices in London, Dublin, Hong Kong, Tokyo and Singapore.

Forward-Looking Statements
This press release and other statements that Cohen & Steers may make may contain forward looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934, which reflect the company’s current views with respect to, among other things, its operations and financial performance. You can identify these forward-looking statements by the use of words such as “outlook,” “believes,” “expects,” “potential,” “continues,” “may,” “will,” “should,” “seeks,” “approximately,” “predicts,” “intends,” “plans,” “estimates,” “anticipates,” or the negative versions of these words or other comparable words. Such forward-looking statements are subject to various risks and uncertainties.

Accordingly, there are or will be important factors that could cause actual outcomes or results to differ materially from those indicated in these statements. The company undertakes no obligation to publicly update or review any forward-looking statement, whether as a result of new information, future developments or otherwise.

View original content:https://www.prnewswire.com/news-releases/cohen–steers-infrastructure-fund-inc-utf-notification-of-sources-of-distribution-under-section-19a-302334335.html

SOURCE Cohen & Steers, Inc.

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Safetyfirst Systems, LLC Provides Notice of Data Security Event

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PARSIPPANY, N.J., July 23, 2026 /PRNewswire/ — Safetyfirst Systems, LLC (“SFS”) is providing notice of a data security event that may involve information relating to certain individuals. While SFS is not aware of any misuse of information associated with this event, it is providing notice to potentially affected individuals out of an abundance of caution.

On January 19, 2026, SFS identified suspicious activity involving a limited portion of its server environment. Upon discovering the activity, SFS quickly took steps to secure its systems, notified federal law enforcement, engaged leading third-party forensic specialists, and performed a detailed investigation into the nature, scope, and impact of the activity. The investigation determined that an unauthorized actor accessed and/or acquired certain files from limited SFS systems between January 16, 2026, and January 19, 2026. SFS then conducted a comprehensive review of the affected files to determine what information may have been involved and identify the individuals to whom the information relates. The review has recently concluded, and SFS is providing this notification to potentially impacted individuals out of an abundance of caution. Although the types of information vary by individual, the affected information may include names, Social Security numbers, and driver’s license numbers.

Protecting the privacy and security of the information entrusted to SFS is a responsibility the company takes very seriously. In response to this event, SFS promptly strengthened security measures, continues to enhance its technical safeguards and monitoring capabilities, and is reviewing existing policies and procedures to further protect against similar incidents in the future. SFS is also providing notice to potentially affected individuals and, where required, appropriate regulatory authorities.

Although SFS is unaware of any misuse of personal information impacted by this event, individuals are encouraged to remain vigilant against events of identity theft by reviewing account statements, explanation of benefits, and monitoring free credit reports for suspicious activity and to detect errors. Any suspicious activity should be reported to the appropriate insurance company, health care provider, or financial institution.

Individuals seeking additional information regarding this event can contact SFS’s dedicated assistance line at 1-833-289-5523 between the hours of 7:00 a.m. to 7:00 p.m. Eastern time, Monday through Friday, excluding holidays. Individuals may also write to SFS at PO Box 101, 3299 US Highway 46, Parsippany, NJ 07054-9998.

 

View original content:https://www.prnewswire.com/news-releases/safetyfirst-systems-llc-provides-notice-of-data-security-event-302831894.html

SOURCE Safetyfirst Systems, LLC

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Sunrate and Mastercard Release White Paper on Agentic AI and the Future of B2B Global Payments

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SHANGHAI, July 24, 2026 /PRNewswire/ — Sunrate, the global payment and treasury management platform, and Mastercard, a global technology company in the payments industry, unveiled a joint white paper, Beyond Automation: Defining Agentic Global Payments, at the 2026 World Artificial Intelligence Conference (WAIC).

Among the first reports in the payments industry to examine the impact of Agentic AI on B2B cross-border payments, the white paper provides a comprehensive framework for understanding how AI agents are reshaping enterprise payment operations. It proposes that cross-border payments are evolving beyond digitisation and automation into a new stage: Autonomy—where AI agents with reasoning, planning, and execution capabilities can independently orchestrate and optimise end-to-end payment and treasury workflows within defined governance frameworks.

As businesses expand across borders, B2B cross-border payments continue to be constrained by fragmented workflows, disconnected systems, foreign exchange inefficiencies, rising compliance requirements, and complex reconciliation processes. While traditional automation improves individual tasks, the white paper demonstrates that Agentic AI represents a fundamental shift by enabling intelligent agents to coordinate entire payment journeys across systems, counterparties, and approval workflows.

Drawing on Sunrate’s global payment infrastructure and AI-native product capabilities, together with Mastercard’s expertise in secure payment networks and data intelligence, the white paper defines Agentic Global Payments — a new category of AI-native global payment infrastructure built to automate and manage complex enterprise workflows.

The report identifies 16 major pain points across the B2B payment lifecycle and outlines 13 high-value AI use cases spanning supplier onboarding, accounts payable and receivable, virtual commercial cards, payment routing, foreign exchange management, compliance screening, fraud detection, reconciliation, and conversational operational support. It also demonstrates how AI agents can automate complex workflows—from extracting information across multiple document formats and conducting compliance checks to initiating payments, optimising FX execution, and completing reconciliation—while operating within enterprise governance and control frameworks.

The white paper further highlights that trusted adoption of agentic payments depends on more than technological capability. It identifies governance, transparency, security, and ecosystem collaboration as essential foundations for enterprise deployment, supported by frameworks such as Know Your Agent (KYA), payment tokenisation, auditability, and cross-industry interoperability.

Sunrate.AI portfolio currently includes the Payment Agent, FX Agent, Compliance Agent, Onboarding Agent, and Chat Agent, designed to help enterprises automate and optimise critical payment and treasury processes while maintaining compliance and operational control.

Mastercard has also been actively building the foundations for trusted agentic commerce – combining AI capabilities with verifiable authorisation, clear accountability and proven payments security. Its work in this area, including Agent Pay (alongside Agent Pay for Machines) and Verifiable Intent, are proof points in how Mastercard is enabling AI to participate in commerce safely and transparently. 

“Our mission is to make global payments seamless, compliant, and intelligent,” said Paul Meng, Co-founder and CEO of Sunrate. “As businesses continue expanding internationally, AI agents will fundamentally reshape how enterprises manage global payments—enabling smoother capital flows, reducing operational friction, and embedding real-time intelligence into every payment decision. This white paper represents an important step in helping the industry understand how Agentic AI can be deployed responsibly at enterprise scale.”

“Agentic commerce is changing how businesses make and execute payment decisions, but speed without accountability creates new categories of risk,” said Anouska Ladds, Executive Vice President, Commercial & New Payment Flows, Asia Pacific, Mastercard. “As AI starts to act on behalf of businesses, autonomous payment decisions need a clear, auditable chain of identity, intent and action. That’s what allows organisations to delegate with genuine confidence — and what will determine whether agentic commerce scales past pilots.”

Released under WAIC 2026’s theme, “Intelligent Partners, Co-creating the Future,” the white paper provides business leaders with practical guidance on adopting AI-driven payment capabilities, covering implementation approaches, governance considerations, and real-world enterprise applications.

By combining Sunrate’s expertise in global payments and treasury management with Mastercard’s trusted payment infrastructure and network capabilities, the collaboration reflects a shared commitment to accelerating the next generation of intelligent, secure, and autonomous B2B global payments.

Click here to check the white paper.

About Sunrate

Sunrate is a leading global payment and treasury management platform for businesses worldwide. Founded in 2016, Sunrate has enabled companies to operate and scale both locally and globally in 190+ countries and regions with its cutting-edge infrastructure, global network, and unified solutions.

Sunrate operates through offices across key markets, including Singapore, Kuala Lumpur, Jakarta, Hong Kong, Shanghai, and London. The company partners with the top global financial institutions, such as Citibank, Standard Chartered, Barclays, J.P. Morgan. Sunrate is also the principal member of Mastercard and Visa. To learn more about Sunrate, visit https://www.sunrate.com/.

About Mastercard

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. 

www.mastercard.com

SOURCE Sunrate

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data able to stay onshore inside their own network

SYDNEY, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that need operational data to stay onshore, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model can run on the customer’s own hardware, keeping operational data onshore.”

“For teams across Australia, New Zealand, and Singapore, two things matter: keeping data onshore, and getting answers when a job fails after hours,” said Shayne Cooper, Account Executive for APAC at JAMS Software. “JAX and JAMS MCP address both. The model can run on the customer’s own hardware, and the answer arrives in plain language at the moment it is needed.”

JAX and JAMS MCP are available now to all JAMS Web customers across Australia, New Zealand, and Singapore, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software
Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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View original content:https://www.prnewswire.com/apac/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-302833800.html

SOURCE JAMS Software

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