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Powering the NVM and Embedded Chip Security Technologies

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eMemory’s Michael Ho discusses how the company is addressing the memory and security challenges in high-performance computing applications.

TAIPEI, Dec. 17, 2024 /PRNewswire/ — In today’s era of the Internet of Everything (IoE), especially with the proliferation of artificial intelligence (AI), which in turn has ushered in the Artificial Intelligence of Things (AIoT) trend, chip design demands have further intensified. Not only do advanced, high-end applications require powerful CPU cores for processing, but also an increased demand for memory—modern chips need the capability to store critical information, even when powered off.

“With the push toward higher performance and power efficiency, devices like mobile phones, laptops, and cloud data centers increasingly rely on advanced process chips,” says Michael Ho, President of eMemory Technology Inc., during an interview with EE Times Asia. “Today’s applications, especially in HPC (high-performance computing] and AI, demand powerful chips capable of processing large volumes of data and images with enhanced speed and efficiency.”

eMemory is one of the leading providers of non-volatile memory (NVM) IP. “At eMemory, we focus on multimemory development. Our product line includes OTP [one-time programmable], which includes a floating-gate type NeoBit and the antifuse type NeoFuse; MTP [multiple-time programmable], where we have NeoEE and NeoMTP; and we are also providing a PUF-based security solution and our own embedded flash, NeoFlash,” explains Ho.

However, Ho notes that as process shrinks, challenges arise in both process and chip architecture, requiring adjustments to maintain performance, such as controlling electron flow and preventing leakage, which can impact power efficiency and reliability.

” To meet the demands of advanced applications, it is essential to extend our NVM capabilities to advanced processes. However, these processes are highly complex, making it impractical to tailor them to perfectly align with the design of every individual component.” explains Ho. “Our engineers have to find different kind of ways—from device level to design level—to achieve a very reliable and robust NVM technology in those advanced process nodes.”

NeoFuse, eMemory’s advanced anti-fuse OTP solution and a recipient of the Best IP/Processor of the Year award at EE Awards Asia 2024, solves a key industry challenge: scaling with advanced nodes without increasing cost or design complexity.

“As advanced processes develop to 5nm, the rated supply voltage of a component lows from 1.8V to 1.2V. NeoFuse’s design needed to overcome the challenge of lower power supply while maintaining high programming voltage and performance. NeoFuse uses an innovative circuit that boosts the internal voltage three to four times higher while maintaining reliability of devices. Its new architecture also achieves high temperature tolerance, supporting up to 150°C in sub-5nm processes,” explains Ho. 

Additionally, to fulfill the new demand of the advanced applications, eMemory’s NeoFuse reserves parity bits in each word as a standard design, enabling clients to implement Error Correction Code (ECC) schemes to ensure data integrity. This makes it an ideal solution for high-reliability SoC applications, including automotive systems and beyond.

“NeoFuse aims to support all kinds of cutting-edge applications’ advancements,” Ho says.

But what also makes NeoFuse a recipient of an EE Awards is its uniqueness. Compared to eFuse, NeoFuse’s mechanism makes the physical differences between programmed and unprogrammed cells invisible, making it a safer option than eFuse. In addition, when there is a large capacity requirement, the required area (footprint) of NeoFuse is also relatively economical.

“Compared to other OTP, NeoFuse’s patented 3T structure adds a regulating transistor to improve yield, reliability, and programming success compared to traditional 2T designs, which reduces testing time and costs,” says Ho. “Compatible with standard logic processes, NeoFuse supports fast time-to-market, quality, and cost efficiency for leading-edge applications. As an OTP that always passes advanced processes—from 16nm to 3nm—at the first cut, NeoFuse is ideal for demanding applications such as AI, HPC, data centers and automotive fields.”

Meanwhile, when it comes to high-end applications, all chips that require a large amount of computing faces the challenge of a sudden increase in SRAM demand and a decline in yield. To address this issue, eMemory recently cooperated with Siemens on an SRAM repair toolset, which integrates the NeoFuse OTP  into Siemens’ Tessent MemoryBIST (Built-in Self-Test) tool, and coupled with the interface design jointly developed by eMemory subsidiary PUFsecurity Corp. to makes the SRAM repair tool easier to use.

“Siemens’ Tessent MemoryBIST has a market share of more than 90%, so, cooperating with Siemens on SRAM Repair is an OTP application trend that we value very much,” says Ho.

Addressing Chip Security Issues

Apart from the increasing complexity of chip designs to address the high-performance requirements and interconnectedness of the latest applications in almost every sector, another critical challenge that designers are intensely focusing on is security.

In the automotive sector, fintech, industrial automation, or even personal devices such as smartphones and portables, chip security has never been more critical amid the increasingly sophisticated cyberattacks. In fact, threat actors can even leverage the use of advanced AI, especially generative AI, to create malicious content to harm devices.

These trends—the need to secure interconnected devices, protect sensitive data across a wide range of applications, the growing urgency to combat cyber risks—bode well for the embedded security industry and its ecosystem. According to research firm MarketsandMarkets, the embedded security market is expected to grow from $7.4 billion in 2023 to around $9.8 billion by 2028—growing at a compound annual growth rate (CAGR) of 5.7% from 2023 to 2028.

And leading this front is eMemory subsidiary PUFsecurity Corp. eMemory has further invented NeoPUF with nearly ideal PUF performance through NeoFuse technology. Based on its NeoFuse and NeoPUF technologies and industry resources, eMemory established PUFsecurity in 2019, focusing on developing secure storage and key technologies into different levels of hardware security solutions, including the Hardware Root of Trust (PUFrt) and Crypto Coprocessor (PUFcc).

In PUFrt, PUF serves as the core for generating a unique password for each chip, enabling the creation of root keys or unique identification codes (UID), and securely stored in NeoFuse OTP. The True Random Number Generator (TRNG) within PUFrt seamlessly integrates PUF values to produce high-quality random numbers, meeting diverse and stringent security operation needs. The overall design of PUFrt is interlocked to form a robust anti-attack protective shell, establishing a solid foundation for building a trust and security chain from each IoT endpoint chip. On top of PUFrt, PUFcc incorporates a comprehensive suite of encryption algorithms certified by the National Institute of Standards and Technology (NIST), supporting advanced security functions such as secure boot, secure updates, and secure debugging.

By 2023, the company introduced the One-Stop Shop Security Platform to demonstrate a more comprehensive, market-ready secure IP platform with upgraded controllers and interface designs, such as Memory Mapping, Behavioral Models, and Regression Test Methodology support smoother adoption and verification.

“As a group, eMemory and PUFsecurity integrate all security elements to deliver a comprehensive solution for our customers. This unique strength is difficult to replicate, especially since very few companies excel in both hardware and software IP design.” says Ho.

One of the recent developments from PUFsecurity is the recently launched PUFcc7, an upgraded version that meets TLS 1.3’s security requirements, particularly in new cryptos. Also, PUFsecurity and Arm joined forces to demonstrate a powerful security framework combining PUFcc and Arm Corstone-300 and achieved SESIP and PSA Certified Level 3 RoT Component certification in the fourth quarter of this year.

“Many customers have already used our PUFrt with Arm architecture to enhance hardware security. On the other hand, the adoption of PUFcc has also picked up rapidly. Customers have taken the advantage of complete integration and CAVP-certified crypto engines to accelerate products’ time-to-market and certification process,” says Ho.

In fact, as demand for data centers and the cloud has been exploding exponentially, the industry has established Caliptra, an open standard for silicon root of trust targeted at chips designed for data center applications, including CPUs, GPUs, and DPUs.

“For customers who require data center services, their terminal equipment must also comply with Caliptra’s specifications,” explains Ho. “Our root of trust solution—PUFrt—is the security required by data center applications. In fact, more and more customers are requesting PUFrt. According to Caliptra documentation, the goal is to first adopt Caliptra in confidential computing, with plans to expand to all chip types. The demand for security solutions driven by relevant regulations is also an opportunity we are quite optimistic about.”

Ho adds that PUFsecurity will keep upgrading and completing its entire security portfolio to offer the industry a one-stop-shop service and innovative solutions, whether the designs, availabilities (150nm–3nm), security framework references, and certifications.

And it is for these reasons that PUFsecurity is a recipient of this year’s Best Security Technology Platform at the EE Awards Asia.

“EE Times is an influential technology media in the industry. It is an honor for us to be the recipient of these awards together with many semiconductor giants. With this kind of affirmation, we will go further. We also hope that through the EE Awards, people who are unfamiliar with eMemory and PUFsecurity will get to know us, and lead to more potential cooperation opportunities,” says Ho.

Next Step Forward

Ho says they will continue to actively expand the roadmap of eMemory IP in process nodes. “We expect that NeoFuse will complete the qualification of 3nm next year, and 2nm will always be included in the plan. In addition, several new technologies are also under development.”

Meanwhile, PUFsecurity is about to launch a brand-new solution, PUFhsm, which is born to fulfil the automotive vertical and enable eight security goals with a CPU-integrated architecture—secure boot, secure update, secure deployment, key management, lifecycle management, secure debugging, secure monitoring, and compliant with the EVITA Full.

“Overall, because our products continue to improve and have been successfully expanded to various technology platforms and advanced process nodes, coupled with the cooperation and promotion with industrial giants, which will accelerate our progress in the advanced application market, we are optimistic about future growth,” Ho concludes.

eMemory and PUFsecurity showcase their collective strengths in R&D and technical expertise as a unified group.

Learn More:
[Product Intro] NeoFuse
[Product Intro] PUF-based Security Products
[Related News] Collaboration with Siemens on Memory Repair Tool Set
[Related News] PUFcc with PSA Certified Level 3 RoT Component

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SOURCE EE Times Taiwan

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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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