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Apple Sued for Knowingly Hosting Child Sexual Abuse Material on Its Products, Failing to Protect Survivors

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Landmark lawsuit brought on behalf of thousands of survivors of child sexual abuse images and videos (CSAM) traded on Apple platforms

CUPERTINO, Calif., Dec. 8, 2024 /PRNewswire/ — This weekend, a class action lawsuit was filed against Apple on behalf of thousands of survivors of child sexual abuse for knowingly allowing the storage of images and videos documenting their abuse on iCloud and the company’s defectively designed products. The lawsuit alleges that Apple has known about this content for years, but has refused to act to detect or remove it, despite developing advanced technology to do so.

The plaintiffs are being represented by Marsh Law Firm. Additionally, Heat Initiative is providing some support for this lawsuit as part of the organization’s broader Ignite program, which provides legal and advocacy support for victims of child sexual abuse through referrals, research, and funding to empower them to use their voices and hold technology companies accountable.

The images and videos of the plaintiffs’ childhood sexual abuse, which have been stored thousands of times, would have been identified and removed had Apple implemented its 2021 “CSAM Detection” technology. However, Apple terminated the program after its announcement. Other leading technology providers have been proactively detecting and reporting illegal child sex abuse images and videos for more than a decade. Apple’s belated efforts, and subsequent cancellation, leave it among the very few major platforms that do not engage in proactive detection and removal.

The full complaint, as well as a fact sheet and other supporting materials, can be found HERE.

 “The knowledge that images of my abuse are still out there is a never-ending nightmare – Apple could have stopped this, but has chosen not to act,” said Jane Doe, a plaintiff in the lawsuit. “Apple has the technology to stop this from continuing, yet they knowingly turn a blind eye. This isn’t just about my story –  it’s about standing up for every survivor who deserves safety and dignity. Apple has a responsibility to protect us, and I’m here to demand that they fulfill it.”

“Today, thousands of brave survivors are coming forward to demand accountability from one of the most successful technology companies on the planet. Apple has not only rejected helping these victims, it has advertised the fact that it does not detect child sex abuse material on its platform or devices thereby exponentially increasing the ongoing harm caused to these victims,” said Margaret E. Mabie, Partner at Marsh Law Firm, representing the plaintiffs. “Our clients have endured unimaginable abuse, and yet Apple’s top executives continue to ignore their pleas, fully aware that this illegal contraband remains on their platform. By abandoning their state-of-the-art detection program without offering an alternative, Apple has chosen to prioritize its own corporate agenda over the lives and dignity of survivors. This lawsuit is a call for justice and a demand for Apple to finally take responsibility and protect these victims.”

“Apple wants people to think they are the ‘responsible’ tech company, and this lawsuit demonstrates clearly that, on this issue, they are not,” said Sarah Gardner, Founder and CEO of the Heat Initiative, an organization dedicated to encouraging leading technology companies to combat child sex abuse on their platforms. “The plaintiffs and countless other survivors of child sexual abuse are forced to relive the worst moments imaginable because Apple refuses to implement common sense practices that are standard across the tech industry. They will argue that this is a privacy issue, but they are failing to acknowledge the privacy and basic humanity of the children being raped and sexually assaulted in the videos and images Apple stores on iCloud.”

In August 2021, Apple announced it would implement a new “CSAM Detection” feature, which would have identified known child sexual abuse material in iCloud using NeuralHash, a type of hashing technology that Apple developed. However, after the program was announced, Apple executives reversed their decision and ultimately killed the implementation of the program. At the same time, in 2023, five major tech companies collectively reported more than 32 million pieces of child sexual abuse images and videos on their platforms–Apple reported only 267.

The lawsuit is seeking injunctive relief for Apple to implement basic child safety measures on behalf of the plaintiffs. The claim of negligence and failing to fulfill their duty of care resulting in harms to the plaintiffs stems from two main factors:

Apple’s failure to implement any plan to detect illegal child sexual abuse images and videos when they have full knowledge of its existence on their platform violates their duty of care.If the “CSAM Detection” feature had been implemented, the plaintiffs’ illegal child sexual abuse images would have been detected and removed. Instead they remain on iCloud and devices today, continuing to cause the plaintiffs harm.

Marsh Law Firm focuses its legal practice exclusively on representing survivors of sexual abuse and online exploitation. They are a survivor-focused, trauma-informed, and justice-oriented law firm that advocates for clients both in and out of the courtroom to secure justice and hold perpetrators and the institutions that enable abuse accountable.

Heat Initiative is a collective effort of concerned child safety experts and advocates encouraging leading technology companies to combat child sexual abuse on their platforms. Heat Initiative sees a future where children’s safety is at the forefront of any existing and future technological developments. The Heat Initiative’s Ignite program catalyzes impact litigation to hold technology companies accountable to their duty to prevent and address the sexual exploitation of children on their platforms.

Contact: press@heatinitiative.org

View original content:https://www.prnewswire.com/news-releases/apple-sued-for-knowingly-hosting-child-sexual-abuse-material-on-its-products-failing-to-protect-survivors-302325571.html

SOURCE Heat Initiative

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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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