Technology

Infrastructure AI Unveils Revolutionary Agentic Security Strategy

Published

4 months ago

June 4, 2026

Galaxy Agentic Operating System (GAOS) Introduces Dynamic, Multi-Layered Security Infrastructure Capable of Continuous Autonomous Learning and Evolution

NEW YORK, June 4, 2026 /PRNewswire/ — As the global facilities management industry approaches $3 trillion in annual spending by 2026 according to JLL’s Global State of Facilities Management Report, 84% of FM leaders cite escalating operational costs and budget constraints as their primary concern. Infrastructure AI today announced the launch of its revolutionary Agentic Security framework, built directly into the Galaxy Agentic Operating System (GAOS).

This innovation introduces a dynamic, multi-layered security strategy designed to transform the global infrastructure landscape by shifting defenses from post-event logging to deterministic, runtime execution governance.

The market context amplifies the urgency. According to Spherical Insights, the global facility management market size was worth around USD 1.37 trillion in 2025 and is predicted to grow to around USD 3.10 trillion by 2035 with a CAGR of 8.51%. Yet as artificial intelligence moves into physical spaces, traditional cybersecurity falls short of safely governing autonomous agents making millisecond-level, real-time decisions regarding physical equipment, energy loads, and building safety.

Infrastructure AI’s Agentic Security architecture eliminates this vulnerability by making it mathematically impossible for an agent to execute an unauthorized or dangerous action.

A Radical Paradigm Shift: Continuous Learning and Adaptation

The true radical innovation of Infrastructure AI’s security architecture lies in its ability to continuously evolve and transform alongside the assets it protects. Rather than relying on static rules or rigid, retroactive IT defenses, the GAOS framework utilizes an interconnected, agentic “nervous system” that functions as a dynamic intelligence hierarchy.

Signals flow seamlessly up and down through the agent hierarchy—from localized edge devices up to global orchestrators. This enables the entire system to continuously learn behavioral patterns, detect complex structural anomalies, and autonomously deploy real-time mitigation strategies across the global footprint. Because every agent accumulates a live reputation score based on its actual operational history, the platform’s protective layer learns and sharpens its responses continuously.

The Dual-Blockchain Innovation: Registered Titles and Operational Passports

At the heart of this transformation is Infrastructure AI’s proprietary Dual-Blockchain Security Backbone. In autonomous infrastructure, mixing the state of physical assets with the behavioral logic of AI agents creates severe processing bottlenecks and compliance risks.

Infrastructure AI solves this by introducing a dual-ledger state separation:

Layer 1: The Infrastructure Blockchain (Physical State): Functions as the unalterable source of truth for the physical world, maintaining the Asset Identity Registry, operational data logs, and compliance records for regulators and insurers.Layer 2: The Agentic Blockchain (AI State): Governs AI agents developed within the Infrastructure AI Agentic Factory, managing agent identities, certifications, and reputation scores.

Through this dual-ledger architecture, every agent is equipped with a cryptographically verified “Registered Title” and “Operational Passport” via Layer 1’s Certified Agent Registry. If an agent’s code is altered or a vulnerability is detected, its passport is instantly neutralized and revoked ecosystem-wide at the protocol level. Specialized indexers bridge the two chains, providing absolute fault attribution by allowing auditors to see exactly which agent executed a specific change, under what policy, and the precise physical outcome.

The Six-Layer Deterministic Execution Pipeline

To guarantee that autonomy never compromises control, GAOS forces every single automated decision through an impenetrable, six-layer defense-in-depth pipeline:

On-Chain Agent Registry: Verifies the identity, certification tier (Tiers 1 to 5), and real-time reputation score of the agent.Supervised Process Isolation: Restricts agents to sandboxed runtimes with no direct OS-level access or arbitrary network privileges.Model Context Protocol (MCP) Tool Gateway: Prohibits agents from directly accessing databases or OT hardware. Every interaction with physical controllers must pass through authorized, risk-graded MCP tools.Dynamic Policy Engine (Cedar): Evaluates requests in real time against asset criticality, time-of-day, and current risk tiers to instantaneously permit, deny, or quarantine actions.Autonomy Tiering & HITL Routing: Contextually routes high-impact or safety-critical decisions to human operators (Human-in-the-Loop), keeping full autonomy reserved strictly for low-impact operations.Tamper-Evident Audit Verification: Cryptographically hash-chains every agent intent, policy applied, and physical outcome to the blockchain ledger, ensuring a live, unalterable record.

Built for an Evolutionary Future

As detailed in its comprehensive roadmap, the GAOS Agentic Security Framework is purposefully architected for continuous evolution. Future phases include the integration of hardware-backed secure enclaves, tokenized capability access, cross-ecosystem multi-chain attestations, and AI-assisted governance to optimize human routing. Additionally, the upcoming implementation of Zero-Knowledge Compliance will allow operators to verify total regulatory alignment via mathematical proofs without disclosing sensitive operational telemetry.

“We did not add security as an afterthought or retrofit governance onto an autonomous system,” said Dilip Rahulan, “We built agentic security into the foundation from day one because governance and autonomy must coexist. This architecture moves AI from a theoretical concept to an investable, enterprise-grade asset class that regulators can audit, insurers can underwrite, and institutional investors can trust.”

“GAOS is the emergence of a new operational model for global infrastructure where AI agents autonomously coordinate and optimize physical systems at scale,” said Glen Allmendinger, Co-Founder of Infrastructure AI and founder of Harbor Research.

About Infrastructure AI

Infrastructure AI is pioneering the trust architecture for the autonomous world. Through the Galaxy Agentic Operating System (GAOS), the company provides the foundational security envelope and data normalization required to manage millions of connected assets across commercial real estate, energy grids, and smart cities globally.

Sources and Hyperlinks:

JLL Global State of Facilities Management Report 2025

https://www.jll.com/en-us/newsroom/dollar3-trillion-fm-market-navigates-shifting-economic-and-tech-landscape

Spherical Insights Global Facility Management Market Report

https://www.sphericalinsights.com/reports/facility-management-market

Infrastructure AI https://infrastructureai.org/

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SOURCE Infrastructure AI

Technology

Roborock Maintains Global No.1 Position in H1 2026

Published

29 minutes ago

September 23, 2026

BEIJING, Sept. 23, 2026 /PRNewswire/ — Roborock ranked No.1 globally by both unit shipments and sales value among robotic vacuum brands in H1 2026, according to the IDC Worldwide Quarterly Smart Vacuum Robotics Tracker, 2026Q2. The result further strengthens Roborock’s sustained leadership in the category, with the company also ranking No.1 globally in cumulative sales value among robotic vacuum brands from Q1 2023 through Q2 2026, according to IDC.

The latest recognition comes as the global robotic vacuum market continues to evolve, with market concentration increasing and competition shifting toward technology innovation, premium products and deeper cleaning experiences. IDC reported that the global robotic vacuum market shipped 7.885 million units in Q2 2026, while leading brands continued to strengthen their positions in the increasingly concentrated market.

Roborock’s continued leadership is underpinned by sustained investment in AI-powered perception, intelligent navigation, cleaning performance and robotic mobility. At IFA 2026, the company showcased its latest innovations across indoor and outdoor cleaning, including the Saros 20 Flow, Qrevo Edge 3 Pro, F25 Ultra Steam Gen 2 and F25 Pro Turbo Combo, alongside its expanding outdoor robotics portfolio, including the RockNeo Q2 LiDAR robotic mower and RockAqua P1 robotic pool cleaner.

“Our mission is to give time back to our customers by automating everyday tasks,” said Quan Gang, President of Roborock. “Building smarter robots is the means, not the goal. Every minute spent on housework is time taken away from family, passions, and personal well-being.”

Roborock’s global leadership is supported by continued investment in research and product development. In the first half of 2026, the company recorded RMB 10.084 billion in revenue, up 27.6% year on year, while net profit attributable to shareholders reached RMB 986 million, up 45.6% year on year. R&D investment reached RMB 720 million, representing 7.14% of revenue, supporting continued development across intelligent navigation, AI-powered environmental perception, cleaning systems and robotic mobility.

As robotic cleaning evolves from individual products toward broader, full-scenario applications, Roborock is expanding its robotics portfolio beyond robotic vacuum cleaners. Its sustained leadership in the category provides a foundation for bringing intelligent robotics into more areas of everyday life, with the goal of helping consumers spend less time on routine chores and more time on what matters to them.

Roborock ranked No.1 globally by unit shipments and sales value among robotic vacuum brands in H1 2026. Source: IDC Worldwide Quarterly Smart Vacuum Robotics Tracker, 2026Q2.

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Technology

GOxCALL Turns Any Screen Into a Smart Queue Counter for Local Businesses

Published

29 minutes ago

September 23, 2026

TAIPEI, Sept. 23, 2026 /PRNewswire/ — CAYIN Technology today announced GOxCALL, a new queue management feature for its cloud based digital signage platform GO CAYIN. GOxCALL lets shops, clinics, restaurants, and other service counters turn an existing screen into a live queue counter, removing the need for a separate hardware kiosk.

Retail counters, medical clinics, restaurants, and service desks across many industries often rely on physical ticket dispensers that require dedicated wiring, installation, and ongoing maintenance. For small and medium businesses, this cost and complexity can be a real barrier to upgrading the customer experience. GOxCALL addresses this by running entirely through the cloud, so a business only needs a screen and an internet connection to get started.

With GOxCALL, customers can request a number through a mobile phone or an on site touch screen, and the queue status appears instantly on the connected display. Staff can monitor waiting numbers and adjust service pace from a simple online dashboard, with no technical training required.

GO CAYIN also offers a permanently free Poster plan, letting businesses use a screen for promotional content and announcements at no cost. Businesses that want the queue feature can add a GOxCALL subscription on top of their Poster plan, scaling the service to match demand without a large upfront hardware investment.

“GO CAYIN was built to help small and medium businesses adopt digital services without a heavy technical burden,” said a company spokesperson. “GOxCALL continues that mission by making queue management as simple as connecting a screen to the internet.”

GOxCALL is now available to businesses across retail, food service, healthcare, and other customer facing industries in Taiwan and beyond. Interested businesses can visit https://www.gocayin.com to learn more about pricing and subscription options.

About CAYIN Technology

Founded in 2004 and headquartered in Taipei, Taiwan, CAYIN Technology is a global provider of digital signage solutions, with products deployed in more than 100 countries. GO CAYIN is the company’s cloud based digital signage platform, designed to help small and medium businesses launch screen based marketing and service tools with minimal setup.

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SOURCE CAYIN Technology

Technology

TECNO Demonstrates the Deep Customization Potential of Mobile AI with Tailored EllaClaw Agentic Workflows

Published

29 minutes ago

September 23, 2026

HONG KONG, Sept. 22, 2026 /PRNewswire/ — Today, TECNO showcased the deep customization potential of its exploratory mobile AI agent, TECNO EllaClaw, through a tailored workflow ecosystem developed with leading global technology media outlet Digital Trends. Designed to address the real-world needs of digital content professionals and creators, the showcase highlights how TECNO is transforming Agentic AI into practical, personalized experiences that adapt to everyday workflows. Moving beyond generic mobile agentic AI, it demonstrates how TECNO’s rapidly evolving AI capabilities enable customizable, system-level intelligence for users across different professions, industries and real-world scenarios, paving the way for the next generation of mobile AI experiences.

“As Agentic AI continues to evolve, we believe that the true value of phone-native Agentic AI should not be limited to rigid, pre-set functions,” said Adrian Boly, President at Digital Trends Media Group. “It should have the flexibility to adapt to the specific needs and pain points of individual users, enabling intelligent solutions that are truly relevant to how they work. This collaboration with TECNO is an important first step in exploring what that level of customization can look like on a smartphone—and we believe there is much more to come.”

Tailored Agentic AI Workflows Built for Digital Content Professionals

EllaClaw’s flexible Agentic AI capabilities can be customized for a wide range of real-world scenarios and user needs. In this collaboration with Digital Trends, TECNO applied this flexibility to the daily workflows of technology journalists and content creators, ultimately narrowing the focus down to four representative scenarios that address key bottlenecks across the end-to-end content creation process.

News Background Research turns EllaClaw into an always-ready research agent. When journalists encounter a developing story, they can share with EllaClaw, which autonomously identifies the topic, searches across trusted and selected news sources in the background, and synthesizes the findings into a structured brief covering historical context, key developments, stakeholder perspectives and source references. The result can then be saved directly into the phone’s Notes app, with an audio version available for quick listening — turning a fragmented research process into one continuous workflow. Building on these insights, Research-to-Script streamlines content planning by turning research into structured storyboards with multilingual script suggestions and supporting creative assets, helping creators move from ideas and research to production without manually switching between tools.

Personal Writing Style gives EllaClaw a persistent understanding of how each creator communicates. By analyzing user-provided writing samples, it builds a reusable style profile, and applies that profile when creating content for different platforms. The profile can continue to evolve with new samples and user feedback, allowing EllaClaw to become increasingly personalized over time. Finally, Social Media Risk-Word Check reviews content against platform-specific publishing considerations, helping creators reduce potential risks while preserving the effectiveness of their messaging.

Together, these workflows demonstrate how EllaClaw combines multiple AI capabilities into a seamless workflow experience, helping users spend less time on repetitive tasks and more time on creativity, storytelling, and meaningful content.

Building the Future of Practical Agentic AI

While TECNO developed this customized showcase specifically for professional content creators, it demonstrates the flexibility and scalability of EllaClaw, highlighting how its Agentic AI capabilities can be adapted to diverse real-world scenarios.

Beyond intelligent automation, TECNO places user control, transparency, and privacy at the core of the EllaClaw experience. Designed as a digital co-pilot rather than an autopilot, EllaClaw supports users throughout the creative process while keeping every important decision in human hands. For content creation workflows, users review, refine, and approve every AI-generated output before publication, ensuring AI enhances productivity while creativity, judgment, and responsibility always remain with the user.

Standing at the forefront of intelligent innovation, TECNO continues transforming AI-powered technology into real-world value, empowering consumers worldwide to embrace a more intelligent and accessible future.

About TECNO

As a global innovative technology brand with operations in over 70 markets, TECNO has been committed to revolutionizing the digital experience in global emerging markets, relentlessly pushing for the perfect integration of contemporary, aesthetic design with the latest technologies and AI. TECNO offers a wide range of smartphones, smart wearables, laptops and tablets, smart gaming, HiOS operating systems and smart home products. Guided by its brand essence of “Stop At Nothing”, TECNO is committed to unlocking the newest technologies and AI-powered new experiences for forward-looking individuals, inspiring them to never stop pursuing their best selves and their best futures. For more information, please visit TECNO’s official site: www.tecno-mobile.com.

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SOURCE TECNO