Epomaker Expands TH Series with Launch of TH80 V2 and TH80 V2 Pro Mechanical Keyboards

NEW YORK CITY, NY – 18/03/2026 – (SeaPRwire) – Developed in response to ongoing community feedback and evolving user expectations, the new models represent the latest iteration of the brand’s widely recognized TH series. The updated keyboards aim to maintain the core characteristics that helped define earlier versions while integrating a series of functional and design improvements intended to enhance both productivity and gaming performance.

Both the TH80 V2 and TH80 V2 Pro feature the increasingly popular 75% layout, a configuration that preserves essential keys such as the function row and arrow cluster while reducing overall desk footprint. This format has gained widespread adoption among users seeking a compact design without sacrificing key functionality required for daily workflows and gaming environments.

From a design perspective, the TH80 V2 continues the visual language associated with the TH series. It is offered in two understated color combinations: Grey-White-Yellow and Black-Grey-Blue, reflecting a minimalist aesthetic suitable for professional or home workspaces. The TH80 V2 Pro introduces a more expressive design direction, including a translucent black finish and a vibrant pink variant favored by many keyboard enthusiasts. Both models incorporate a subtle side light bar and refined accent elements that enhance visual depth while maintaining a clean overall appearance.

Attention to detail is evident in the hardware components. Each keyboard includes an aluminum rotary knob with a sandblasted finish, providing precise tactile feedback for functions such as volume adjustment or system controls. The keyboards also feature full hot-swappable support across all keys, allowing users to easily replace switches without soldering. Compatibility with standard MX-style keycaps further expands customization options.

The included keycaps are made from durable PBT material designed to resist surface wear and maintain texture over time. Double-shot molding technology ensures the legends remain sharp and legible through extended use.

Both models utilize a gasket-mounted internal structure, paired with multiple layers of sound-dampening materials to reduce internal resonance and improve acoustic performance. This design approach helps produce a softer and more controlled typing sound while also enhancing key feel during prolonged typing sessions. Adjustable multi-stage kickstands are also integrated into the chassis, providing ergonomic flexibility that can help reduce wrist strain.

The keyboards ship equipped with pre-lubed Creamy Jade switches, engineered to deliver smooth keystrokes and responsive actuation suitable for both fast-paced gaming scenarios and sustained typing workloads.

The TH80 V2 Pro introduces several additional features designed to expand functionality. A built-in TFT color display provides real-time system information such as battery level and connection status. The Pro model also supports a browser-based driver interface, enabling users to configure key mappings, lighting effects, and other settings directly through a web interface without requiring dedicated software installation.

Battery capacity represents another distinction between the two models. The TH80 V2 includes an 8000mAh battery intended to support extended daily usage, while the TH80 V2 Pro upgrades to a 10000mAh battery to further extend wireless operation time. Both devices are designed to provide stable long-lasting performance across work, creative tasks, and gaming sessions.

Price and Availability

The Epomaker TH80 V2 is available for $69.99 and the TH80 V2 Pro is priced at $79.99. Both models are currently available through the Epomaker official website as well as the brand’s storefronts on Amazon and AliExpress.

source https://newsroom.seaprwire.com/technologies/epomaker-expands-th-series-with-launch-of-th80-v2-and-th80-v2-pro-mechanical-keyboards/

Skymantics Connects DataGenesis Synthetic Data Engine with Anna Orchestration Layer

MELBOURNE, FL – 17/03/2026 – (SeaPRwire) – Skymantics, LLC has announced a technical integration between its DataGenesis synthetic data engine and the Anna Orchestration Layer developed by Geo Orchestration AI. The collaboration is designed to provide government agencies and enterprise organizations with a simulation-ready environment that combines advanced orchestration capabilities with large-scale, realistic datasets.

The integrated system aims to address one of the primary challenges in artificial intelligence orchestration: access to sufficiently complex and high-fidelity data. AI orchestration platforms typically require extensive datasets to simulate operational scenarios or model long-term outcomes. However, strict data privacy regulations and security requirements frequently limit the use of real-world information, particularly when personally identifiable information (PII) is involved.

Synthetic Data Designed for Secure AI Modeling

Through the integration, the DataGenesis engine supplies Anna with what Skymantics describes as “Isomorphic Synthetic Data.” These datasets replicate the statistical structure and longitudinal characteristics of real populations while containing no information tied to actual individuals.

According to Brad Molander, the goal is to enable AI systems to model complex real-world dynamics without introducing privacy or security risks.

“AI orchestration platforms require comprehensive datasets to accurately simulate large-scale systems,” Molander said. “By integrating DataGenesis with the Anna Orchestration Layer, organizations can generate entire simulated environments where population behaviors, economic variables, and service demand evolve logically over time.”

This approach allows users to run scenario-based simulations across multiple domains, including healthcare demand modeling, economic trend analysis, and public-sector planning.

Enabling Scenario Modeling Across Sensitive Data Domains

One of the primary advantages of the integration is the ability to run simulations in areas that typically involve sensitive datasets. Because the underlying data is synthetic, organizations can explore complex scenarios without exposing protected information.

The combined platform supports several key capabilities:

Zero-Trust Intelligence
The synthetic data layer enables orchestration across sensitive domains such as healthcare records or tax datasets while ensuring that no real personal information is present.

Temporal Evolution Modeling
As users run “what-if” scenarios within the Anna platform, DataGenesis provides time-based simulation depth, allowing population models and digital twins to evolve over extended periods rather than appearing only as static snapshots.

Provenance and Systems Engineering Expertise
The integration combines Skymantics’ experience in federal systems engineering with Geo Orchestration AI’s orchestration technology. The resulting platform is designed to support the information-centric standards often required for U.S. government systems and other high-assurance environments.

Supporting Next-Generation AI Simulation Infrastructure

By connecting synthetic data generation with orchestration technology, the companies aim to create a flexible simulation platform capable of supporting both government modernization initiatives and commercial AI deployments.

The plug-and-play environment is intended to allow organizations to build digital population models and test policy, economic, or operational strategies within simulated environments before implementing them in real-world systems.

About Skymantics

Skymantics, LLC is a systems engineering and model-based artificial intelligence company focused on advanced data simulation and analytics. The company develops technologies designed to bridge legacy infrastructure with modern AI-driven simulation environments.

Skymantics works with government agencies and enterprise organizations to enable data-driven decision-making and support complex modernization initiatives through model-based engineering and synthetic data platforms.

source https://newsroom.seaprwire.com/technologies/skymantics-connects-datagenesis-synthetic-data-engine-with-anna-orchestration-layer/

Tenstorrent Unveils TT-QuietBox™ 2 Desktop AI System for Local Model Inference

SANTA CLARA, CA – 16/03/2026 – (SeaPRwire) – AI computing company Tenstorrent has introduced the TT-QuietBox 2 (Blackhole), a liquid-cooled desktop AI workstation designed to run large-scale machine learning models locally while maintaining quiet operation suitable for office or laboratory environments. The new system enables developers and organizations to execute models containing up to 120 billion parameters directly on a workstation, offering teraflop-class inference performance in a compact desktop form factor.

The product represents what the company describes as the first desktop AI workstation based on RISC-V architecture to reach this level of inference capability. Starting at $9,999, the system is built with an entirely open-source software stack spanning the compiler, kernel, and developer tooling layers.

Inference Workloads Drive Demand for Local AI Compute

Industry trends have increasingly shifted toward inference as the dominant artificial intelligence workload. As organizations deploy trained models into production environments, the need to run inference workloads at scale has expanded rapidly. Estimates indicate inference workloads now represent more than half of global cloud AI infrastructure spending.

Developers frequently face two competing options: relying on cloud infrastructure that charges per-token usage fees, or deploying proprietary hardware systems whose software layers cannot be fully inspected or customized. The TT-QuietBox 2 platform is intended to address these challenges by giving users full visibility into the hardware and software stack supporting their workloads.

According to Jim Keller, CEO of Tenstorrent, the system was developed with open infrastructure and developer accessibility as central goals.

“Artificial intelligence software has matured to the point where developers can benefit from systems designed specifically for the complexity of modern workloads,” Keller said. “QuietBox 2 was created to provide a fast, quiet development platform that is open from hardware design to software stack, allowing developers to build and control their AI infrastructure.”

Designed for Real-World AI Workloads

The system arrives preconfigured to run several widely used AI models across different domains. For example, GPT-OSS 120B can operate locally on the workstation, enabling developers to run large language models privately without relying on external cloud services. Other supported models include Llama 3.1 70B, which can process tokens at high throughput, and Qwen3-32B for coding-focused applications.

Beyond language models, the workstation also supports multimodal and creative workloads. Image generation using Flux and video synthesis through Wan 2.2 can run locally on the device, allowing creators to maintain control over intellectual property without sending data to external servers.

Scientific computing represents another target use case. The biomolecular machine learning model Boltz-2 can predict the structure of complex proteins significantly faster than traditional CPU-based systems, enabling researchers to accelerate certain types of molecular modeling workloads.

To support broader compatibility, Tenstorrent provides TT-Forge, an open-source AI compiler capable of compiling models from frameworks such as PyTorch, ONNX, TensorFlow, JAX, and PaddlePaddle directly for the hardware platform.

Architecture Built Around Blackhole Processors

Inside the TT-QuietBox 2 system, four Blackhole ASIC processors operate together as a unified compute mesh. The configuration includes 480 Tensix cores capable of delivering approximately 2,654 teraflops of performance at BlockFP8 precision.

The hardware integrates compute resources with high-density SRAM on the same silicon die. This design allows tensors to move efficiently through on-chip memory, reducing reliance on external DRAM and minimizing bottlenecks commonly associated with memory bandwidth limitations in conventional accelerators.

The system includes 128 GB of GDDR6 memory and 256 GB of DDR5 system memory. By relying on GDDR6 and on-chip SRAM rather than High-Bandwidth Memory (HBM), the architecture avoids supply constraints that have affected many AI accelerator products.

TT-QuietBox 2 runs on Ubuntu 24.04 and operates using a standard 120-volt electrical outlet, eliminating the need for rack-mounted infrastructure, specialized cooling, or dedicated server facilities.

Fully Open-Source Software Stack

Tenstorrent has positioned openness as a core design principle for the system. Every major layer of the software environment is available as open source.

TT-Forge provides transparency into model graph optimization and execution, while TT-Metalium offers low-level control for developers seeking deterministic performance at the kernel level. TT-LLK manages low-level kernel software interactions.

This full-stack openness enables developers to analyze how models are executed on hardware, modify components of the software pipeline, and adapt the platform to specific workloads. Such transparency can be particularly relevant for research institutions, regulated industries, and organizations building sovereign AI infrastructure.

Desktop AI for Developers and Businesses

The system has been designed to balance performance with practical usability. It ships preconfigured with Ubuntu 24.04, developer tools, and the company’s TT-Studio environment to simplify deployment.

Engineering improvements have reduced idle power consumption and heat generation compared with earlier designs. The liquid-cooled enclosure is optimized for sustained workloads while maintaining quiet operation suitable for desk-side environments.

For small and medium-sized organizations, the workstation format may also provide a path to on-premises AI infrastructure without requiring dedicated server rooms or extensive IT resources.

Availability

TT-QuietBox 2 is scheduled for global availability in the second quarter of 2026, with pricing starting at $9,999. The system will be demonstrated during the Game Developers Conference 2026, taking place March 11-13.

About Tenstorrent

Tenstorrent is an artificial intelligence computing company focused on developing RISC-V-based processors and AI infrastructure systems for developers and enterprises. The company is led by semiconductor engineer Jim Keller, known for contributions to processor architectures including AMD Zen, Apple A-series chips, and Tesla’s Full Self-Driving hardware.

Tenstorrent has received backing from investors including Bezos Expeditions, Samsung, LG Electronics, Hyundai Motor Group, and Fidelity Investments. The company operates offices in Santa Clara, Austin, Toronto, Belgrade, Tokyo, Bangalore, Singapore, and Seoul.

source https://newsroom.seaprwire.com/technologies/tenstorrent-unveils-tt-quietbox-2-desktop-ai-system-for-local-model-inference/

Skymantics Announces Integration of DataGenesis with Anna Orchestration Layer to Advance AI Simulation Capabilities

MELBOURNE, FL – 15/03/2026 – (SeaPRwire) – Skymantics, LLC has announced the integration of its DataGenesis synthetic data engine with the Anna Orchestration Layer developed by Geo Orchestration AI. The collaboration is designed to provide government and enterprise users with a unified simulation environment capable of generating high-fidelity synthetic datasets for advanced AI orchestration and scenario modeling.

As organizations increasingly adopt AI-driven decision systems, the demand for large-scale, high-quality data continues to grow. However, strict privacy regulations and protections for personally identifiable information (PII) often limit access to real-world datasets. This challenge has made it difficult for orchestration platforms to model complex systems with realistic data inputs.

The newly announced integration addresses this limitation by combining the orchestration capabilities of the Anna platform with synthetic datasets produced by Skymantics’ DataGenesis engine. The system generates Isomorphic Synthetic Data, which preserves the statistical characteristics and longitudinal patterns of real populations while removing direct connections to identifiable individuals.

According to Brad Molander, the integration aims to provide a more complete simulation environment for organizations exploring long-term operational scenarios.

“Anna functions as a powerful orchestration platform, but complex simulations require a deep and dynamic data foundation,” Molander said. “By pairing DataGenesis with the Anna orchestration environment, users gain the ability to model evolving systems—such as healthcare demand or regional economic changes—while maintaining strict privacy safeguards.”

Building a Privacy-Safe Data Foundation for AI Orchestration

The joint solution introduces several capabilities intended to support AI-driven modeling and planning in sensitive operational domains.

Zero-Trust Intelligence
Through the integration of synthetic datasets, the Anna orchestration platform can now support simulations across domains that typically involve highly sensitive information, including healthcare records, tax data, and other regulated datasets. Because the underlying data is fully synthetic, the system enables analysis without exposing real-world personal information.

Temporal Evolution Modeling
The DataGenesis engine generates longitudinal datasets that evolve over time, enabling digital population models to reflect dynamic changes rather than static snapshots. This allows orchestration systems to analyze how simulated populations respond to economic shifts, policy changes, or resource constraints across extended time horizons.

Provenance and Systems Engineering Experience
The integration also incorporates Skymantics’ experience in federal systems engineering. By combining these capabilities with Geo Orchestration AI’s flexible orchestration framework, the platform is intended to support the rigorous data governance and information management standards required in many government environments.

Enabling Advanced “What-If” Scenario Modeling

With the combined technology stack, users can design large-scale simulations that evaluate long-term outcomes across multiple sectors. For example, organizations may use the platform to simulate healthcare system demand over multiple years, test economic development strategies, or evaluate infrastructure planning scenarios.

The developers say the integration provides a scalable “plug-and-play” simulation environment in which orchestration logic and high-fidelity synthetic data operate together within a single platform.

About Skymantics

Skymantics, LLC specializes in model-based artificial intelligence, systems engineering, and synthetic data generation. The company focuses on bridging legacy data infrastructure with advanced simulation environments, enabling public sector agencies and enterprise organizations to analyze complex systems and modernize data-driven operations.

source https://newsroom.seaprwire.com/technologies/skymantics-announces-integration-of-datagenesis-with-anna-orchestration-layer-to-advance-ai-simulation-capabilities/

Clockwork.io Launches TorchPass Workload Fault Tolerance to Improve Reliability in Large-Scale AI Training

PALO ALTO, CA – 14/03/2026 – (SeaPRwire) – Clockwork.io has announced the general availability of TorchPass Workload Fault Tolerance, a new capability designed to improve resilience in large-scale artificial intelligence training environments. The software-based solution aims to reduce the operational disruption and financial losses associated with infrastructure failures in distributed GPU clusters.

TorchPass is delivered as a core feature within the Clockwork.io FleetIQ platform. The technology applies the company’s Software-Driven AI Fabrics architecture to distributed training workloads, enabling systems to continue operating even when GPU hardware, network links, or cluster nodes encounter failures. By leveraging Live GPU Migration, the platform can transparently shift active training workloads to available resources without requiring job restarts or checkpoint recovery.

According to Suresh Vasudevan, the cost of infrastructure interruptions has become a growing challenge for organizations investing heavily in AI computing resources.

“Companies are investing billions in next-generation accelerators, yet distributed AI workloads still lose significant productivity due to avoidable infrastructure faults,” Vasudevan said. “TorchPass was designed to address that gap by allowing training workloads to continue operating through failures rather than forcing expensive restarts.”

Industry observers have also noted that reliability becomes increasingly difficult as AI clusters scale. Dylan Patel said that maintaining continuity across large GPU deployments is becoming critical as new hardware architectures increase cluster density.

“As systems scale to larger compute domains, even minor errors—such as a single GPU failure or a network disruption—can terminate an entire training run,” Patel said. “Technologies like TorchPass help maintain utilization by enabling transparent failover and live workload migration.”

Addressing Reliability Challenges in Distributed AI Training

Distributed AI training is widely recognized as one of the most complex and failure-prone workloads in modern computing infrastructure. Research conducted by Meta FAIR indicates that the mean time to failure decreases sharply as cluster sizes increase. In clusters with more than a thousand GPUs, interruptions can occur within hours, frequently forcing jobs to restart from checkpoints.

These interruptions often result in lost compute time and reduced GPU utilization. When failures occur, training systems typically roll back to the latest saved checkpoint, discarding recent progress and requiring additional time to restore workloads.

TorchPass is designed to mitigate these inefficiencies by addressing faults proactively and maintaining workload continuity. By reducing restart events and preserving training progress, the system aims to improve cluster utilization and reduce operational overhead for enterprises and AI cloud providers.

Live GPU Migration Enables Continuous Training

The key mechanism behind TorchPass is Live GPU Migration, which enables affected training processes to move dynamically to spare resources within the cluster when faults occur. The migration process typically completes in approximately three minutes while the overall training workload continues to operate.

TorchPass supports three primary resilience scenarios:

• Unplanned migration, which responds to unexpected failures such as GPU faults, kernel crashes, or power disruptions
• Pre-emptive migration, triggered by early warning signals including thermal anomalies or ECC memory errors
• Planned migration, allowing infrastructure maintenance or workload balancing without interrupting training operations

According to the company, this approach can reduce wasted training progress by up to 95 percent in certain environments.

Independent Testing Highlights Performance Benefits

Independent benchmarking conducted by Jordan Nanos evaluated TorchPass in large-scale training scenarios. Testing involved a GPT-scale training workload using a Kubernetes-based cluster equipped with 64 H200 GPUs.

The evaluation measured job completion time and model FLOPs utilization against both traditional checkpoint-restart methods and the open-source fault-tolerance framework TorchFT. The results indicated that TorchPass achieved faster recovery after simulated hardware failures while maintaining higher GPU utilization rates.

The benchmark also suggested that by improving fault tolerance, organizations may be able to reduce checkpoint frequency in training pipelines. This can enable larger batch sizes, lower memory pressure, and simplified storage management.

Financial Impact for Large AI Clusters

For operators managing large GPU deployments, improved reliability can translate into significant cost savings. Clockwork.io estimates that in a typical deployment using 2,048 H200 GPUs, TorchPass could recover more than $6 million in annual compute value by preventing wasted GPU hours caused by restart-driven downtime.

These savings primarily result from avoiding repeated training interruptions and eliminating idle recovery periods. By maintaining continuous training progress, organizations may also accelerate the time required to complete large model training runs.

Supporting Next-Generation AI Infrastructure

Clockwork.io positions TorchPass as part of a broader effort to make reliability a software-defined capability within AI infrastructure. This approach is designed to support emerging high-density systems, including architectures built around GPUs such as the NVIDIA GB200 NVL72 and NVIDIA GB300 NVL72.

TorchPass expands on the company’s earlier Network Fault Tolerance capabilities, which address network-level disruptions by rerouting traffic around failing links.

Together, these technologies form the foundation of Clockwork.io’s Software-Driven AI Fabric, a vendor-neutral software layer designed to coordinate compute, network, and storage resources across large AI clusters. The goal is to enable operators to run heterogeneous infrastructure as a unified system while maintaining predictable performance and high utilization.

Clockwork.io will present TorchPass during the upcoming NVIDIA GTC conference from March 16 to 19.

About Clockwork.io

Clockwork.io develops Software-Driven AI Fabrics, a programmable software layer designed to improve observability, determinism, and fault tolerance in large-scale AI clusters. Its FleetIQ platform enables enterprises to train and operate complex AI workloads while maintaining high infrastructure utilization. Organizations including Uber, Wells Fargo, Nebius, and Nscale use Clockwork.io technologies to support AI infrastructure operations.

source https://newsroom.seaprwire.com/technologies/clockwork-io-launches-torchpass-workload-fault-tolerance-to-improve-reliability-in-large-scale-ai-training/

Seedless Wallet Prepares iOS Launch, Opening Early Registration with Exclusive Bonus Offer

MIAMI, FL – 13/03/2026 – (SeaPRwire) – A new mobile application designed to simplify cryptocurrency management for everyday users is preparing to enter the Apple mobile ecosystem. Seedless Wallet, a digital asset wallet platform focused on eliminating traditional seed phrase complexities, has announced that its iOS application is expected to become available for download on the Apple App Store in the coming weeks.

Ahead of the official launch, the company has opened early registration for interested users through its website. Individuals who sign up in advance will be eligible to receive a special launch bonus, the details of which are scheduled to be revealed when the app officially becomes available.

According to the company, the upcoming iOS release represents a major step in expanding access to its digital asset management platform. The mobile app is designed to deliver a streamlined and secure experience tailored specifically for iPhone users, bringing the platform’s core functionality directly to Apple’s mobile environment.

Stuart Fine, CEO of Seedless Wallet, said the development team has focused on creating a user experience that balances strong security with ease of use.

He noted that the iOS release is intended to make cryptocurrency management more accessible by removing many of the barriers that traditionally discourage new users from entering the digital asset space.

Security Model Designed to Reduce User Burden

One of the key features of Seedless Wallet is its authentication system known as “Remember Me,” which shifts much of the traditional security responsibility from the user to the platform itself. Unlike conventional cryptocurrency wallets that rely on manually stored seed phrases for recovery, the Seedless Wallet model aims to reduce the risk of user error and improve accessibility for individuals unfamiliar with complex cryptographic procedures.

The platform supports a wide range of blockchain networks, including Ethereum, Phantasma, Polygon, Arbitrum, and Solana, allowing users to manage multiple digital assets within a single application environment.

Seedless Wallet has also integrated TrustNFT.io’s anti-poisoning protocol, a security mechanism designed to protect users from address poisoning attacks—an increasingly common tactic used by malicious actors to trick users into sending funds to fraudulent addresses.

Early Registration Program Announced

To build momentum ahead of the iOS launch, Seedless Wallet has introduced an early registration program. Users who create an account through the official website prior to the app’s release will automatically qualify for a bonus reward.

While the exact details of the reward have not yet been disclosed, the company says it will be announced on the day the application officially launches. Participation in the early registration program does not require any purchases, deposits, or technical setup.

The initiative is intended to encourage early community participation while giving new users an opportunity to explore the platform once the app becomes publicly available.

Registrations are currently open through the Seedless Wallet website.

About Seedless Wallet

Seedless Wallet is a cryptocurrency wallet platform designed to simplify digital asset management by removing the need for traditional seed phrase storage. Through the use of advanced cryptographic systems and simplified authentication methods, the platform aims to reduce security risks while improving accessibility for both new and experienced crypto users.

Developed by a team of blockchain engineers and security specialists, Seedless Wallet focuses on creating an environment where users can manage digital assets without sacrificing privacy or security.

The platform also serves as the official wallet provider for projects within the Remergify portfolio and has been selected as the designated wallet for The Great Smoke Out, an upcoming cannabis-friendly online event scheduled for April 20, 2026.

source https://newsroom.seaprwire.com/technologies/seedless-wallet-prepares-ios-launch-opening-early-registration-with-exclusive-bonus-offer/

Omnia and Infinant Partner to Expand Stablecoin Payment Capabilities for Banks

DENVER, CO – 12/03/2026 – (SeaPRwire) – As financial institutions explore ways to integrate digital assets into their payment infrastructure, new collaborations between fintech providers are emerging to bridge traditional banking systems with blockchain-based technologies. In this context, digital-asset solutions provider Omnia has announced a strategic partnership with banking platform company Infinant to enhance stablecoin payment functionality within the Interlace Banking and Payments Platform.

The partnership aims to provide banks with a unified payment framework capable of supporting both conventional fiat transactions and regulated stablecoin-based transfers. By combining legacy banking rails with blockchain-enabled settlement capabilities, the collaboration seeks to create a modern payment hub designed to support evolving financial services.

Stablecoins Gaining Momentum in Financial Services

As interest in digital assets continues to expand, stablecoins and tokenized deposits are increasingly being explored by financial institutions as tools for improving payment efficiency and expanding service offerings. Stablecoins, which are typically designed to maintain a stable value relative to fiat currencies, are being considered for applications such as cross-border payments, interbank settlement, and real-time transaction processing.

These digital assets offer the potential to streamline international money transfers, reduce settlement times, and support financial services that operate continuously rather than within traditional banking hours.

Davis Hart, CEO and Founder of Omnia, noted that the partnership reflects a shared vision between the two companies regarding the evolution of banking infrastructure. According to Hart, the future financial ecosystem will likely involve multiple types of assets and payment rails operating together within unified platforms.

Integrating Digital Asset Infrastructure for Banks

Through the integration of Omnia’s digital asset capabilities into Infinant’s Interlace platform, banks can access infrastructure designed to support stablecoin payments and tokenized deposit services. The framework aims to simplify the process for banks seeking to introduce digital asset functionality without needing to develop or maintain blockchain systems internally.

The combined platform architecture enables financial institutions to manage both traditional and digital asset transactions through a centralized payment engine. Within the same environment, banks can process conventional payment methods—including ACH transfers, wire payments, and instant payment rails—alongside stablecoin issuance and settlement.

This integrated approach is intended to reduce operational complexity while allowing institutions to expand payment capabilities as digital asset markets mature.

Accelerating Payment Innovation Through Partnerships

Riaz Syed, CEO and Founder of Infinant, stated that the collaboration demonstrates how fintech partnerships can accelerate innovation within modern banking platforms. By incorporating Omnia’s stablecoin infrastructure into the Interlace ecosystem, the platform aims to help banks explore new digital asset strategies while maintaining regulatory oversight and operational control.

The companies view the partnership as part of a broader industry trend in which banks seek flexible technology platforms that can support emerging financial products, new payment channels, and evolving customer expectations.

About Omnia

Omnia, headquartered in Denver, Colorado, provides tokenized asset infrastructure designed to help banks access digital asset opportunities. The company focuses on solutions tailored for community and regional banks, enabling services such as stablecoin on-ramps, international payments, embedded trading capabilities, and institutional settlement for both retail and commercial customers.

The platform is designed to operate within existing banking frameworks while supporting compliance and risk management requirements. By leveraging established financial systems, Omnia aims to allow banks to participate in digital asset markets while maintaining operational safety and regulatory alignment.

About Infinant

Infinant, based in Charlotte, North Carolina, develops modern banking and payments infrastructure designed to function alongside existing core banking systems. Its Interlace platform serves as an innovation layer that enables financial institutions to launch new channels, products, and partnerships while maintaining operational and regulatory control.

The platform supports capabilities such as virtual accounts, integrated payments, card services, and multi-channel banking strategies. By providing a flexible environment for financial product development, Interlace allows banks to introduce services such as embedded finance, real-time payments, tokenized deposits, and specialized account structures.

source https://newsroom.seaprwire.com/technologies/omnia-and-infinant-partner-to-expand-stablecoin-payment-capabilities-for-banks/

ShelterZoom Introduces Document GPS® Security Framework to Counter AI-Driven Cyberattacks

MIAMI, FL  – 11/03/2026 – (SeaPRwire) – As artificial intelligence reshapes the cybersecurity landscape, security researchers are observing a shift in how cyberattacks are executed. Rather than relying solely on traditional malware or software vulnerabilities, many modern attacks increasingly depend on training AI systems with real organizational data. Documents such as contracts, invoices, internal communications, and operational files can become valuable training material for attackers when they are inadvertently shared outside corporate environments or uploaded to unauthorized AI tools.

In response to this emerging threat pattern, technology company ShelterZoom has introduced a security architecture designed to prevent sensitive documents from becoming exploitable data sources. The company’s Document GPS® platform aims to eliminate the exposure of document content and establish what it describes as a structural defense mechanism against Shadow AI usage and AI-driven social engineering.

According to ShelterZoom, the approach focuses on preventing sensitive files from leaving an organization in a form that AI systems can analyze or reuse. By stopping the underlying data flow, the platform seeks to interrupt the feedback loop that allows AI-driven attacks to become increasingly precise and convincing.

“AI doesn’t necessarily need to hack systems to become dangerous—it can simply learn from real documents,” said Chao Cheng-Shorland, CEO and Co-Founder of ShelterZoom. “Once authentic files leave a company, they can become training material for impersonation and manipulation. Our goal with Document GPS is to eliminate that exposure.”

Introducing a New Digital Layer for Document Security

Central to ShelterZoom’s system is its patented and trademarked technology known as Document Token®. This digital mechanism embeds ownership, security policies, and tracking capabilities directly into individual files.

Powered by blockchain technology, Document Token enables documents to maintain tamper resistance, traceability, and enforceable control even after they move beyond internal networks. The company describes this as transforming traditional documents into portable digital assets with built-in governance.

Just as modern software architecture transformed applications into portable components that can operate across distributed environments, Document Token is intended to convert ordinary files into controlled digital units that remain identifiable, trackable, and secure wherever they are accessed.

Addressing the Growing Risk of Shadow AI

Shadow AI—defined as the unsanctioned use of artificial intelligence tools by employees—has emerged as a growing concern for organizations. In many cases, staff members may upload confidential materials into external AI platforms to speed up work tasks without fully considering the security implications.

ShelterZoom states that its platform is designed to address this issue at common exposure points such as email communications, web-based workflows, and mobile file sharing. Instead of sending documents in their original form, Document GPS converts outbound files into tokenized assets governed by cryptographic and blockchain-based controls. Private messages within the system are also encrypted by default.

Under this model, documents themselves are not physically transmitted in ways that allow AI systems to collect or analyze them. As a result, sensitive information cannot be harvested or repurposed as training material for AI-assisted attacks.

“If AI systems cannot access the underlying document content, they have nothing meaningful to learn from,” Cheng-Shorland explained. “That dramatically reduces the effectiveness of impersonation attempts and AI-generated manipulation.”

Why Traditional Security Measures Struggle

Many existing cybersecurity strategies emphasize detection—identifying malicious emails, suspicious links, or abnormal user behavior. However, once an employee shares sensitive files voluntarily, even if unknowingly, those protections can lose effectiveness.

ShelterZoom argues that this gap creates an opportunity for attackers who rely on AI tools capable of analyzing leaked information and generating highly realistic phishing or impersonation attempts.

By preventing documents from leaving controlled environments in readable form, the Document GPS system aims to break the data-learning cycle that powers AI-enhanced cyberattacks. Without authentic materials to analyze, attackers face significantly greater difficulty replicating trusted identities or creating convincing fraudulent communications.

The approach reflects a broader shift in cybersecurity thinking—from protecting network perimeters toward protecting data itself wherever it travels.

Reducing Incentives for AI-Assisted Attacks

Another goal of the platform is to reduce the economic attractiveness of targeting organizations. When attackers cannot obtain authentic documents or communication context, AI-driven campaigns become less precise and less successful.

Without reliable data sources, attackers must rely on generic phishing strategies, which historically produce lower success rates.

ShelterZoom believes this shift can make organizations that adopt document-level protection systems less appealing targets compared with companies whose data remains accessible through traditional workflows.

About ShelterZoom

ShelterZoom is a deep technology company headquartered in Miami, Florida, specializing in cybersecurity, digital content ownership, and data integrity solutions. The company has developed a portfolio of nearly 80 patents and trademarks covering technologies related to document control, blockchain-based verification, and data protection.

Recognized by Gartner® as a market leader for three consecutive years from 2022 through 2024, ShelterZoom continues to focus on advancing solutions designed to strengthen digital resilience. Its innovations include the development of Document Token technology, Single Source of Truth® (SSOT) architecture, the Spare Tire solution for healthcare electronic health record downtime, and tools designed to mitigate risks related to AI hallucinations, data inaccuracies, and data leakage.

source https://newsroom.seaprwire.com/technologies/shelterzoom-introduces-document-gps-security-framework-to-counter-ai-driven-cyberattacks/

VALYGO Launches Integrated Platform Bridging Crypto, Fiat, and Global Payments

BASSETERRE, KN – 10/03/2026 – (SeaPRwire) – As digital assets, traditional banking services, and global payment networks continue to evolve independently, individuals and businesses that operate internationally often face a fragmented financial landscape. Addressing this challenge, the VALYGO platform has officially launched, introducing a unified financial environment designed to consolidate multiple financial functions into a single operational framework.

Modern financial activity frequently requires users to rely on separate systems for cryptocurrency management, fiat transactions, payment processing, and cross-border transfers. This fragmentation can slow financial operations, create administrative complexity, and increase operational friction for professionals and companies conducting business across multiple jurisdictions. VALYGO enters this space with the goal of simplifying financial workflows by bringing these capabilities together within one structured platform.

A Platform Designed Around Real Financial Workflows

Rather than focusing on a single financial service, VALYGO has been designed around the way individuals and businesses interact with money in real-world scenarios. The platform enables users to operate within a connected account environment where several financial functions can coexist and interact.

Through the platform, users are able to manage digital assets alongside supported fiat services, conduct card-based transactions both online and at physical merchants, and execute cross-border transfers without relying on multiple external systems. In addition, supported ATM access provides another method for interacting with funds.

By integrating these services into one platform environment, VALYGO aims to reduce the need for users to shift between different tools and platforms, helping create greater continuity in everyday financial activity.

Supporting Cross-Border Financial Participants

The platform has been developed with internationally active users in mind. Freelancers who invoice clients abroad, remote professionals earning income from multiple regions, and businesses maintaining relationships with clients across different countries often require financial infrastructure capable of supporting complex payment flows.

VALYGO’s structure seeks to address these needs by providing an operational environment where payments, asset management, and account access can function within a single system. Individuals who frequently interact with both cryptocurrency and traditional financial services may also find value in the platform’s integrated structure.

Flexible Account Models for Different Operational Needs

Recognizing that users operate at varying scales, VALYGO offers multiple account tiers designed to accommodate different levels of financial activity. This structured approach allows participants to select an account model aligned with their operational requirements.

Entry-level access is available for users with more basic needs, while higher-tier accounts provide expanded functionality and may involve participation through the VYO ecosystem component. By offering tiered access, the platform seeks to provide scalability without imposing identical requirements on all participants.

VYO Utility Within the Platform Ecosystem

Within the VALYGO ecosystem, VYO functions as a utility component connected to platform participation. Its use cases include enabling access to certain account tiers, supporting staking participation, and linking token utility with platform functionality.

Rather than existing independently from the platform environment, VYO is designed to operate as part of the broader ecosystem infrastructure, aligning user participation with the system’s operational structure.

Transitioning from Development to Active Use

With the platform now live, users are able to engage with VALYGO under real operating conditions. The launch represents the transition from development and system design to practical usage.

While future updates and improvements may continue as the platform evolves, the current release establishes the foundation for users to interact with a financial environment that brings together digital assets, payment tools, and supported fiat services within a single operational framework.

A Unified Operational Layer for Modern Finance

VALYGO does not position itself as a traditional bank replacement, a trading platform, or solely a cryptocurrency wallet. Instead, it presents itself as an integrated operational layer intended to connect several financial functions—ranging from crypto access and supported fiat services to payment infrastructure and account management—within one unified environment.

source https://newsroom.seaprwire.com/technologies/valygo-launches-integrated-platform-bridging-crypto-fiat-and-global-payments/

OpenClawd Releases Major Platform Update as OpenClaw AI Agent Surpasses 250,000 GitHub Stars

NEW YORK CITY, NY – 18/03/2026 – (SeaPRwire) – The rapid growth of open-source AI agents is reshaping how developers and organizations deploy intelligent automation tools. In response to accelerating adoption of the OpenClaw project, OpenClawd AI has released a significant update to its managed deployment platform designed to simplify and secure the use of the popular open-source AI assistant.

OpenClaw—previously known as Clawdbot and Moltbot—has quickly become one of the most widely followed projects on GitHub. The repository recently surpassed 250,000 GitHub stars, a milestone that places it among the most prominent open-source projects in the world. The achievement is notable for the speed at which it occurred: while well-known projects such as React took more than a decade to reach similar levels of community engagement, OpenClaw achieved the milestone in approximately two months.

A Rapidly Expanding Open-Source Ecosystem

Originally created by developer Peter Steinberger as an experimental weekend project in November 2025, the AI agent was designed to allow users to interact with artificial intelligence through simple messaging interfaces capable of executing tasks. The concept quickly attracted global developer attention, and within weeks the project began spreading rapidly across the open-source community.

By early 2026, the OpenClaw ecosystem had expanded significantly:

• 250,829 GitHub stars, surpassing many well-known open-source projects
• 48,274 forks and more than 1,000 active contributors
• Approximately 1.5 million weekly npm downloads
• More than 5,700 community-created integrations and skills available through the ClawHub plugin marketplace
• Native applications released for iOS, Android, macOS, and HarmonyOS

The project has also undergone organizational changes as it transitioned toward an independent open-source foundation while continuing to grow its developer community.

Bridging the Gap Between Developers and Everyday Users

Despite its popularity among developers, OpenClaw’s rapid expansion has highlighted challenges around usability and security for non-technical users. Online discussions across developer communities have documented both creative use cases and unexpected behaviors from AI agents configured with broad permissions.

Some users have reported agents performing automated tasks beyond their intended scope, while security researchers recently disclosed vulnerabilities that could potentially allow attackers to compromise poorly configured installations.

These incidents have highlighted the need for simplified deployment environments that prioritize security, transparency, and ease of use.

According to OpenClawd representatives, the company’s managed platform was created to address these issues by removing the technical barriers typically associated with deploying and maintaining complex AI agents.

New Features in the Latest OpenClawd Release

The newest platform update focuses on maintaining compatibility with OpenClaw’s fast development cycle while offering a simplified and secure user experience.

Key updates include:

• Support for OpenClaw v2026.3.x releases, including integration with Claude Opus 4.6 adaptive reasoning and SecretRef credential management across dozens of services
• Visual permissions dashboard, allowing users to see and control exactly what data and services their AI agent can access without editing configuration files
• Automated security review processes, where foundation updates are evaluated internally before deployment to hosted environments
• One-click integration with WhatsApp and Telegram, two of the most requested messaging channels among users
• Cloud-isolated runtime environments, ensuring each AI agent operates in a dedicated environment separate from personal devices and public infrastructure

OpenClawd operates as an independent platform built on top of the OpenClaw open-source project. Similar to how platforms such as Netlify extend open-source web infrastructure, OpenClawd provides managed hosting, security oversight, and simplified deployment tools for the rapidly expanding AI agent ecosystem.

Expanding Access to AI Agent Technology

While the OpenClaw project remains freely available to developers through its open-source repository, OpenClawd aims to broaden access by providing managed hosting options that reduce operational complexity.

The platform offers a free entry tier, while paid plans provide additional features such as dedicated compute resources, prioritized security patching, and uptime monitoring for production deployments.

Organizations and individuals interested in deploying secure OpenClaw instances can learn more at https://openclawd.ai, while the open-source project itself remains available at github.com/openclaw/openclaw.

About OpenClawd AI

OpenClawd AI provides managed hosting and deployment infrastructure for the OpenClaw open-source AI assistant, previously known as Clawdbot and Moltbot. By simplifying installation, maintenance, and security configuration, the platform enables developers, businesses, and individuals to deploy AI agents without the complexity typically associated with self-hosted environments. OpenClawd operates independently while supporting the broader OpenClaw open-source ecosystem.

source https://newsroom.seaprwire.com/technologies/openclawd-releases-major-platform-update-as-openclaw-ai-agent-surpasses-250000-github-stars/

Typeface Introduces Marketing Orchestration Engine to Help Enterprises Scale AI-Driven Campaigns Across Channels

PALO ALTO, CA – 08/03/2026 – (SeaPRwire) – As enterprises increasingly adopt artificial intelligence in marketing, many organizations are facing a new challenge: transforming isolated AI experiments into structured, scalable systems that can power full campaign operations. Addressing this need, Typeface has unveiled its new Marketing Orchestration Engine, an enterprise platform designed to coordinate brand intelligence, AI-driven workflows, and core IT systems into a unified marketing environment.

The new platform introduces a dedicated operational layer that enables organizations to manage cross-channel marketing activities with greater consistency, governance, and efficiency. By integrating brand data, AI agents, and enterprise infrastructure into a single framework, the system aims to help marketing teams execute campaigns at scale while maintaining strict adherence to brand standards and operational oversight.

The Marketing Orchestration Engine is built around several foundational components, including Arc Graph, Arc Agents, and Arc Forge, with a future capability known as Arc Loop intended to extend performance optimization through continuous learning.

According to Abhay Parasnis, Founder and CEO of Typeface, the company’s vision centers on enabling marketing teams to move beyond basic AI content generation. Instead, the goal is to build an operational system where AI supports large-scale execution while marketers remain responsible for strategy, creativity, and decision-making. By consolidating workflows, brand standards, campaign performance data, and enterprise tools into a single environment, the platform seeks to simplify the management of complex marketing operations.

Arc Graph: A Dynamic Brand Intelligence Layer

At the core of the platform is Arc Graph, a continuously evolving brand intelligence system that expands beyond traditional brand asset libraries. Rather than storing only static guidelines or visual assets, Arc Graph connects multiple sources of marketing context, including brand standards, approved creative assets, audience insights, structured product data, and real-world campaign results.

This unified context layer allows AI-powered agents to generate marketing content that reflects not only a brand’s visual identity but also its operational practices across channels, retail environments, and customer segments.

Cristina Eggum, Senior Manager of Digital Shelf at Post Consumer Brands, noted that as the company expands across retail platforms, maintaining accurate and compliant product content at scale has become increasingly important. She explained that Typeface helps convert product data into retailer-ready content automatically, ensuring that formatting requirements and approved brand language are applied consistently while accelerating content delivery.

Arc Forge: Enterprise Customization and Governance

As AI tools become embedded across marketing teams, many organizations are discovering that disconnected software systems can create operational complexity. To address this, Typeface introduced Arc Forge, a new customization layer designed specifically for enterprise IT teams.

Arc Forge allows organizations to extend and govern the AI-driven marketing stack using APIs, webhooks, model control protocols (MCP), and custom code. Through these integrations, companies can connect global large language models with their internal marketing infrastructure, ensuring that AI agents operate securely and align with enterprise governance requirements.

By enabling deeper integration with internal systems, Arc Forge aims to ensure that AI capabilities scale within enterprise environments rather than functioning as standalone tools.

Arc Agents: Purpose-Built AI for Marketing Workflows

Another key component of the platform is Arc Agents, a set of specialized AI agents designed specifically for marketing execution. These agents can manage a variety of campaign tasks across the marketing lifecycle, from transforming creative briefs into channel-ready campaigns to generating personalized content variations for multiple audiences and formats.

Using shared brand intelligence from Arc Graph, Arc Agents can automatically create and adapt marketing content for channels such as email, digital advertising, social media, websites, and video platforms. The system supports modular campaign inputs, pre-approved templates, and structured workflows, allowing teams to move from one-off content generation toward repeatable, scalable campaign execution.

Arc Spaces: A Unified Marketing Workspace

To support collaboration and oversight, Typeface provides Arc Spaces, a centralized visual workspace where marketing teams can review campaigns, compare variations, and collaborate in real time. The workspace brings together brand intelligence, AI agents, and enterprise systems, enabling teams to manage workflows within a governed environment rather than across fragmented tools.

Looking Ahead: Arc Loop

Typeface also outlined its roadmap for Arc Loop, a future closed-loop optimization system designed to connect marketing performance data directly with AI-driven campaign planning.

As campaigns are executed, real-world outcomes—such as engagement metrics, conversions, and performance lift—will feed back into the platform, helping refine how AI agents plan and generate future campaigns. Over time, this feedback cycle aims to transform the platform into a continuously learning marketing system, improving campaign effectiveness while maintaining human oversight and enterprise governance.

More details about the launch are available in Typeface’s latest blog announcement.

About Typeface

Typeface provides an enterprise marketing orchestration engine designed to coordinate brand intelligence, AI agents, and enterprise technology systems across cross-channel marketing operations. The platform is built for large organizations that require scalable workflows, consistent brand governance, and deep integration with existing enterprise software.

Typeface integrates with widely used platforms including Salesforce, Microsoft, and Google, allowing organizations to expand successful marketing strategies without sacrificing quality control or operational oversight. The company’s technology is used by Fortune 500 enterprises to embed AI directly into marketing workflows, enabling teams to transform brand standards, approvals, and performance data into coordinated systems that improve over time.

The company is backed by investors including Lightspeed, GV, Salesforce Ventures, Madrona, Menlo Ventures, and M12. Typeface has also been recognized by organizations such as Fast Company, Gartner, TIME, LinkedIn, and Adweek for its contributions to AI-driven marketing innovation.

source https://newsroom.seaprwire.com/technologies/typeface-introduces-marketing-orchestration-engine-to-help-enterprises-scale-ai-driven-campaigns-across-channels/

THIEAUDIO Launches Cypher Flagship Over-Ear Headphones with 50mm Dynamic Driver and Studio-Grade Reference Tuning

NEW YORK CITY, NEW YORK – 07/03/2026 – (SeaPRwire) – A new entrant has emerged in the high-end headphone market as THIEAUDIO unveils Cypher, a flagship open-back over-ear headphone engineered to meet the demands of professional audio production and critical listening. Designed with a focus on acoustic precision and long-term listening comfort, Cypher reflects the brand’s ongoing efforts to combine advanced driver technology with carefully calibrated sound tuning for musicians, audio engineers, and audiophiles seeking a reliable reference-grade listening experience.

Flagship 50mm Dynamic Driver with Advanced Magnetic Architecture

At the heart of Cypher is a newly developed 50mm dynamic driver that integrates a 20-core N45 magnetic array. The driver utilizes a semicrystalline polymer and rubber composite diaphragm engineered for structural stability and controlled resonance. Paired with a high-tension copper-aluminum voice coil, the system delivers rapid transient response, wide dynamic range, and high-resolution detail retrieval. This driver platform is optimized to reproduce subtle audio nuances, making it suitable for applications such as mixing, mastering, and high-precision monitoring.

Studio-Grade Reference Sound Tuning

Cypher’s tonal profile is the result of nearly a decade of psychoacoustic research combined with extensive analysis of classic studio reference headphones. The tuning aims to achieve a balanced and accurate sound signature, featuring controlled low frequencies, a natural midrange presentation, and refined high-frequency extension. The resulting sound profile allows listeners to experience recordings with clarity and tonal balance that remain faithful to the original source.

Balanced Sonic Performance

Cypher is engineered to provide a carefully balanced frequency response:

• Bass: A subtle ~5 dB low-frequency shelf from 20 Hz to 300 Hz delivers depth and authority without overwhelming the overall mix.
• Midrange: A neutral and flat midrange ensures vocals and instruments maintain natural timbre and studio-level accuracy.
• Treble: Precisely tuned treble follows a natural pinna response curve, producing airy detail and smooth decay while minimizing harshness.

Premium Materials and Acoustic Construction

In addition to its acoustic design, Cypher incorporates high-grade materials intended to enhance both durability and listening comfort.

• Headband: Constructed from a stainless steel and carbon-fiber composite for structural strength while remaining lightweight. The headband is lined with genuine lambskin to provide a soft, fatigue-free fit during extended sessions.
• Earcups: Each earcup is CNC-milled from aerospace-grade aluminum, providing rigid construction that helps control unwanted resonance while optimizing the acoustic chamber. This design contributes to a spacious soundstage and precise imaging.
• Earpads: Memory-foam velour cushions are designed to distribute pressure evenly, allowing users to maintain comfort during long listening or production sessions.

Flexible Connectivity for Professional and Hi-Fi Systems

Cypher ships with a premium 3-meter braided cable and supports both 3.5 mm and 6.35 mm connectors through an included adapter. This configuration allows the headphone to integrate easily with DACs, headphone amplifiers, mixers, audio interfaces, and home Hi-Fi systems.

Thanks to its open-back design, Cypher is designed to provide a spacious and natural listening experience across a variety of scenarios, including music production, studio monitoring, Hi-Fi playback, and immersive gaming.

Product Specifications

• Driver Unit: 50 mm Dynamic Driver
• Driver Technology: 20-core N45 magnetic array with semicrystalline polymer and rubber composite diaphragm
• Impedance: 32 Ohm
• Sensitivity: 96 dB ±3 dB
• Frequency Response: 20 Hz – 20 kHz
• Cable: Premium 3-meter braided cable
• Connector: 3.5 mm plug with 6.35 mm adapter

About THIEAUDIO

THIEAUDIO is a high-fidelity audio brand dedicated to precision acoustic engineering and reference-grade sound tuning. Through its range of headphones and in-ear monitors, the company focuses on delivering accurate, natural audio reproduction for professional creators and audio enthusiasts alike. Cypher represents the brand’s flagship dynamic-driver headphone, designed to combine studio-level performance with premium comfort for both production environments and high-fidelity listening.

source https://newsroom.seaprwire.com/technologies/thieaudio-launches-cypher-flagship-over-ear-headphones-with-50mm-dynamic-driver-and-studio-grade-reference-tuning/

Human Risk Governance Moves to Center Stage as Living Security Unveils HRM Purchasing Toolkit

AUSTIN, TX – 06/03/2026 – (SeaPRwire) – In response to the rapid evolution of AI-powered cyber threats and mounting board-level scrutiny of workforce risk, Living Security has introduced a comprehensive Human Risk Management (HRM) Purchasing Toolkit designed to help enterprises formalize and operationalize human risk governance.

As generative AI tools enable increasingly sophisticated phishing campaigns, deepfake impersonations, and automated social engineering at scale, the timeline between initial compromise and full lateral movement has dramatically shortened. Security leaders report that incidents which once unfolded over weeks can now escalate within hours, intensifying the need for continuous visibility into human-driven risk factors.

Findings from the 2025 State of Human Cyber Risk Report published by the Cyentia Institute indicate that organizations relying exclusively on traditional security awareness training (SAT) programs maintain visibility into only a small fraction of workforce risk activity—approximately 12%. The research further highlights a pronounced concentration of risk behavior, with just 10% of users accounting for 73% of risky actions inside enterprises.

These insights underscore a structural visibility gap in conventional, compliance-focused training models. Rather than periodic awareness campaigns, organizations are increasingly shifting toward governance-oriented frameworks that continuously measure, prioritize, and mitigate behavioral risk across the workforce.

Ashley Rose, CEO and Co-Founder of Living Security, noted that AI has fundamentally altered the threat landscape by industrializing social engineering tactics. According to Rose, organizations that lack real-time human risk intelligence are left operating reactively, while structured HRM programs introduce measurable oversight and governance to the human layer of cybersecurity.

Industry validation of Human Risk Management as a distinct cybersecurity category has further accelerated market momentum. In The Forrester Wave: Human Risk Management Solutions, Q3 2024, Living Security was recognized as a Leader, reflecting enterprise demand for telemetry-driven behavioral analytics and automated intervention capabilities.

The growing integration of generative AI into daily operations has also expanded the workforce risk surface. Enterprises must now account not only for human employees but also for AI agents and automated systems operating with delegated access. This evolution broadens exposure beyond phishing susceptibility to include identity misuse, data leakage, and autonomous actions executed on behalf of users.

Cybersecurity forecasts for 2026, including projections from security advisor Matthew Rosenquist, emphasize that awareness-based metrics alone are insufficient in an AI-augmented environment. Workforce risk measurement and governance are expected to become core pillars of enterprise security strategy in the year ahead.

Living Security’s AI-native HRM platform aggregates behavioral, identity, and threat telemetry to dynamically assess risk and initiate context-aware interventions. In enterprise deployments, organizations have reported measurable reductions in high-risk user concentrations and shorter exposure windows within the first 90 days of implementation.

Adoption has accelerated across regulated industries and innovation-intensive sectors, where demonstrable workforce risk governance is increasingly viewed as a board-level imperative. The broader strategic shift reflects a move away from tracking training participation toward quantifying and reducing actual exposure.

To support organizations navigating this transition, Living Security has developed the Human Risk Management Purchasing Toolkit, a structured resource aimed at CISOs, GRC leaders, and security teams evaluating HRM strategies and vendors.

The toolkit includes:

• A Strategic HRM Framework with maturity modeling and readiness assessment
• An Executive Business Case Pack featuring CFO-aligned ROI modeling guidance
• An RFP & Vendor Evaluation Kit to facilitate structured platform comparison
• A 90-Day Deployment Playbook outlining phased rollout and measurable risk reduction milestones
• A GDPR & Works Council Consultation Template (EU) to support privacy-aligned implementation

According to the company, as regulators and corporate boards increasingly demand demonstrable workforce risk reduction, Human Risk Management is evolving into foundational cybersecurity infrastructure rather than a supplementary training function.

The HRM Purchasing Toolkit is available at:
https://www.livingsecurity.com/hrm-purchasing-toolkit

About Living Security

Living Security is a global provider of Human Risk Management solutions, focused on helping organizations measure and reduce workforce cyber risk through continuous behavioral intelligence and governance-driven security strategies. Recognized as a Leader in The Forrester Wave: Human Risk Management Solutions, Q3 2024, the company supports enterprises seeking to transition from awareness-based reporting to measurable risk reduction in an AI-accelerated threat environment.

source https://newsroom.seaprwire.com/technologies/human-risk-governance-moves-to-center-stage-as-living-security-unveils-hrm-purchasing-toolkit/