In Hardware and Network news this week…

Zayo Launches Agentic Networking to Power AI Operations

Zayo is advancing network infrastructure with agentic networking capabilities designed to support increasingly complex AI operations. The approach brings AI-driven automation into network management, helping organizations respond more intelligently to changing workloads and connectivity requirements. As AI applications place greater demands on network performance, reliability, and scalability, agentic networking could help enterprises move toward more autonomous infrastructure operations while reducing manual intervention.

In Business Technology news this week…

TeamViewer Expands Tia AI Platform From IT Guidance to Governed Action

TeamViewer is expanding its Tia AI platform beyond providing IT guidance to enabling governed actions across technology environments. The development reflects a broader shift toward AI agents that can actively execute operational tasks rather than simply recommend next steps. By introducing governance into these actions, organizations can gain greater control over automation while maintaining oversight of how AI interacts with IT systems. This could help businesses improve service efficiency while addressing concerns around security, accountability, and operational control.

In Cloud Computing & Mobility news this week…

Cloudflare and OpenAI Partner to Redefine Vulnerability Management With AI-Powered Edge Defense

Cloudflare and OpenAI are collaborating to strengthen vulnerability management through AI-powered defenses at the network edge. The partnership highlights how AI can be incorporated into security infrastructure to identify and respond to emerging threats more efficiently. By bringing intelligent security capabilities closer to where traffic and applications operate, enterprises could improve their ability to detect vulnerabilities and respond to attacks while maintaining protection across increasingly distributed digital environments.

In Quantum Computing news this week…

IBM, Lockheed Martin and ETH Zurich Partner to Launch Switzerland’s First Quantum Innovation Hub

IBM, Lockheed Martin, and ETH Zurich are joining forces to establish Switzerland’s first quantum innovation hub. The initiative is expected to strengthen collaboration among industry and academia while accelerating research and practical applications of quantum computing. Such partnerships are becoming increasingly important as organizations explore quantum technologies for complex computational challenges. The new hub could also contribute to Switzerland’s position within the global quantum ecosystem by connecting research capabilities with industrial use cases.

In FinTech news this week…

Ant International, Mastercard and Visa Unveil Know Your Agent Interoperability Framework to Secure Agentic Commerce

Ant International, Mastercard, and Visa are working to establish a Know Your Agent interoperability framework aimed at making agentic commerce more secure. As AI agents increasingly participate in purchasing and financial transactions on behalf of users, financial institutions need reliable mechanisms for identifying and validating those agents. The framework addresses an emerging challenge in digital commerce by supporting greater trust and interoperability. For banks, payment providers, and merchants, such standards could become increasingly important as autonomous transactions move closer to mainstream adoption.

In HealthTech news this week…

Unchained Labs Launches AI Developability Workcell for Biologics R&D

Unchained Labs is introducing an AI-powered developability workcell designed to support biologics research and development. The solution brings automation and artificial intelligence into laboratory workflows, potentially helping researchers evaluate and optimize biologic candidates more efficiently. As pharmaceutical and biotechnology companies face pressure to accelerate discovery while managing increasingly complex research processes, AI-enabled laboratory automation could help reduce repetitive work, improve consistency, and shorten development timelines.

In Information Security news this week…

Hexnode Unveils Hexnode Synapse, Bringing Agentic Orchestration to IT and Security Operations

Hexnode is introducing Hexnode Synapse, an agentic orchestration capability aimed at IT and security operations. The platform reflects the growing use of AI agents to coordinate workflows across enterprise technology environments. By combining orchestration with IT and security operations, organizations can potentially automate routine processes, improve response times, and reduce operational complexity. The move also demonstrates how agentic AI is becoming increasingly embedded in enterprise management and security rather than remaining limited to standalone AI applications.

Article of the Week

Data Breach Incident Response: A Step-by-Step Guide for Detecting, Containing, and Recovering From Cyberattacks

Data breaches require organizations to respond quickly and systematically, from identifying suspicious activity and containing compromised systems to recovering operations and preventing repeat incidents. This guide explores the key stages of an effective data breach incident response strategy and highlights why preparation, monitoring, communication, and recovery planning are essential. As cyberattacks become more sophisticated and enterprise environments grow more distributed, having a structured response framework can help businesses limit damage, protect critical information, and restore operations more effectively.

The post ITDigest’s Weekly News Roundup Featuring Zayo, TeamViewer, Cloudflare, OpenAI, IBM, Mastercard, Visa, Hexnode and more appeared first on ITDigest.

London is calling once again for European Microwave Week, bringing together leading experts in RF, microwave, wireless and radar technology who are pushing the boundaries of design. From October 6 to 8, 2026, Rohde & Schwarz will present at booth B10 in the European Microwave Exhibition at Excel London its latest test and measurement solutions designed to help engineers stay ahead at the cutting edge of design and prepare systems for increasingly contested and complex spectrum environments.

Markus Lörner, Application Segment Manager RF & Microwave Components at Rohde & Schwarz, says: “Our EuMW 2026 motto, ‘Progress needs proof,’ reflects what many engineers are facing today: when DUTs push beyond the limits of conventional methods, innovation slows down. At the show, we will demonstrate how our advanced test solutions support customers across RF and microwave components, satellite and radar systems, phased-array antennas and emerging 6G sensing applications. As R&D moves toward higher frequencies, more integrated designs and increasingly demanding spectrum environments, precise and reliable measurement becomes a key enabler of progress.”

From EW and EMSO scenarios to advanced high-frequency characterization

A highlight at the Rohde & Schwarz booth is the FSWX signal and spectrum analyzer, displayed in a radar and electronic warfare (EW) test scenario within the context of electromagnetic spectrum operations (EMSO), focused on DRFM-based jammers. In this setup, an R&S SMW200A vector signal generator simulates radar signals, while the FSWX uses its multi-channel architecture to analyze jammer input and output signals simultaneously for a comprehensive assessment of deceptive signal behavior. The new, fully integrated R&S FSWX-KM700 pulse analysis option measures both channels in parallel and provides detailed insight into pulsed radar parameters, differences between the channels and the parameter trends over time.

In a second demonstration, Rohde & Schwarz will show how the game-changing multi-channel capabilities of the FSWX can be extended into the E-band and even up to 110 GHz for advanced high-frequency component characterization. Combined with the R&S SFI100A wideband IF vector signal generator and the fully calibrated R&S FE110ST/SR external frontends, the setup supports wideband satellite component testing for next-generation payload and link applications and beyond, helping engineers capture the true characteristics of the device under test and overcoming the limits of traditional measurement equipment.

Advanced testing for low-noise sources and high-power RF frontends

Rohde & Schwarz will also showcase the enhanced R&S FSWP phase noise analyzer and VCO tester platform for advanced component characterization. With support for residual and absolute phase noise measurements up to 56 GHz and further improved internal reference, R&S FSWP-B62, the solution offers high flexibility for testing synthesizers, OCXOs, DROs, VCOs and two-port components such as amplifiers. New options for integrating external signal sources as local oscillators can dramatically accelerate measurements, in some cases by up to a factor of 1,000, making the R&S FSWP well suited for the development of low-noise signal sources for radar, satellite, base station and high-speed digital applications.

Rohde & Schwarz will also present the new R&S SAM200 system amplifier for high-power test applications in the Ka- and V-band up to 53 GHz. In radar, satellite link and backhaul applications, RF frontends must deliver higher power levels so signals can travel farther and cover larger distances. Designed to support validation of these components, the amplifier extends test setups with higher signal power while maintaining precise and reliable level control. At EuMW, Rohde & Schwarz will showcase the R&S SAM200 in two demonstrations: one characterizing a high-power Ka-band amplifier with the R&S ZNA vector network analyzer in a fully integrated and calibrated test setup, and another highlighting the amplifier’s linearity in a wideband modulated test scenario with the R&S SMW200A vector signal generator and the R&S FSW signal and spectrum analyzer.

Scalable test for SATCOM and phased-array systems

At EuMW, Rohde & Schwarz will also highlight the R&S ZNB3000 vector network analyzer for measurement applications in satellite communications, Earth observation and radio astronomy. Its wide dynamic range and low trace noise provide the sensitivity required for demanding antenna characterization and radar measurements. For higher-frequency applications, optional millimeter wave converters extend coverage up to 330 GHz, including bands used by microwave and millimeter wave radiometers. Together, these capabilities make the R&S ZNB3000 a versatile and cost-effective solution for a broad range of measurement needs in the satellite and space sectors.

Rohde & Schwarz will also demonstrate a phased array antenna test setup highlighting fast and accurate OTA testing and antenna diagram pattern validation for advanced wireless and aerospace and defense applications. Featuring a 5G NR FR2 device under test, the solution combines the R&S ATS1800C CATR- based over-the-air test system with the R&S ZNA vector network analyzer to help reduce test complexity, increase throughput and preserve beamforming accuracy from development through verification to production. A special see-through version of the R&S ATS1800C will be on display at EuMW, featuring a plexiglass wall, giving visitors a rare look at the chamber’s internal CATR technology.

Micro-Doppler emulation for emerging sensing use cases

With the AREG800A radar target generator, Rohde & Schwarz will showcase new test capabilities addressing use cases like 6G integrated sensing and communication (ISAC). As 6G networks evolve beyond data connectivity toward environmental awareness, ISAC is emerging as a key technology for detecting and classifying objects using mobile infrastructure. In addition to emulating distance, speed and radar cross section (RCS), the solution can also generate micro-Doppler signatures, enabling more realistic test scenarios for applications such as drone detection and supporting the development of advanced sensing capabilities.

The post Progress needs proof: Rohde & Schwarz showcases its trailblazing test solutions at EuMW 2026 in London appeared first on ITDigest.

With the continuous expansion of data-hungry AI applications, distributed cloud computing models, and ultra-fast edge computing across global networks, the reliance on traditional manual network management methods has started to create bottlenecks. Zayo’s Agentic Networking platform integrates specialized AI agents into the underlying optical infrastructure, continuously analyzing network telemetry and executing predictive rerouting protocols to maintain network performance.

Autonomous Optimization and Predictive Network Management

Unlike legacy automation systems that rely on rigid, pre-configured rules, Zayo’s agentic framework deploys continuous learning algorithms to monitor fiber links, node performance, and traffic distribution. By detecting sub-visual signal degradation and localized latency shifts before service degradation occurs, the system rebalances routing paths automatically without human intervention.

Also Read: Equinix Launches Fabric One to Simplify AI and Multi-Cloud Interconnectivity

Key operational capabilities delivered by Zayo Agentic Networking include:

Real-Time Predictive Remediation: Identifies hardware anomalies and physical fiber degradation early, automatically re-routing critical enterprise data traffic to prevent downtime.

Dynamic Bandwidth Orchestration: Adjusts network capacity dynamically in response to real-time traffic surges from AI model training and data center sync operations.

Governed Telemetry Control: Operates within strict, customer-defined policy boundaries and enterprise security models to ensure operational transparency and compliance.

Reduced Mean Time to Resolution (MTTR): Automates root-cause diagnostic workflows, providing network engineering teams with actionable operational intelligence.

Supporting Hyperscale and Enterprise AI Workloads

The launch expands upon Zayo’s ongoing investments in subsea cables, long-haul dark fiber networks, and edge connectivity architectures. By embedding agentic intelligence into its global fiber backbone, Zayo equips digital enterprises, hyperscalers, and telecommunications providers with the resilient, self-healing infrastructure required to support next-generation artificial intelligence applications.

The post Zayo Launches Agentic Networking to Power AI Operations appeared first on ITDigest.

Addressing this operational bottleneck, global AI connectivity software leader Airties announced the launch of Airties Aura. Designed as a comprehensive Agentic AI engine for homes and small-to-medium businesses (SMBs), Aura moves past simple passive analytics to deliver autonomous, role-specific troubleshooting and real-time execution across the entire broadband lifecycle.

Short for Agentic AI that Understands, Reasons, and Automates, Aura powers Airties’ entire connectivity software portfolio. Operating across 50 million managed homes and billions of daily Wi-Fi telemetry points, the engine translates raw network data into closed-loop actions—ranging from automated mesh re-optimization to guided subscriber self-care.

Also Read: Cloudflare and OpenAI Partner to Redefine Vulnerability Management with AI-Powered Edge Defense

Technical Architecture: Understand, Reason, and Automate at Scale

The core innovation behind Airties Aura is its transition from passive monitoring to autonomous workflow execution. Built with strict human-in-the-loop governance controls, the engine operates on a three-stage functional loop:

Understand: Continuously senses environment health by parsing live telemetry across customer premises equipment (CPE), connected devices, extender meshes, and active applications.

Reason: Utilizes domain-grounded models to isolate root causes for example, distinguishing between a congested fiber link and a weak Wi-Fi backhaul on a specific extender node.

Automate: Executes real-time fixes autonomously (e.g., steering high-bandwidth streaming devices to 5GHz bands or re-configuring mesh paths) or surfaces role-tailored recommendations to operator teams.

Aura integrates directly into established operator platforms including Airties Careview and supports open, agent-to-agent interoperability via standardized data models. This enables ISPs to surface natural-language summaries for customer care agents, roll back unstable firmware for network operations, or deliver plain-English self-service steps inside consumer mobile apps.

Transforming the Telecommunications and Broadband Managed Services Industry

The release of an agentic AI engine for home network management reflects a broader, structural evolution across the Telecommunications, ISP Operations, and Smart Home Infrastructure landscape.

The Obsolescence of Static Diagnostic Dashboards
For over a decade, managed Wi-Fi vendors competed on the depth of their diagnostic graphs and metric dashboards. However, providing customer care agents with endless signal-to-noise charts often increased average handle times (AHT) as support representatives struggled to interpret complex RF data.

Airties Aura signals the end of passive diagnostic dashboards. The broadband industry is pivoting toward intent-based, autonomous operations. Telecommunications software is no longer evaluated strictly on data collection metrics, but on its ability to automate resolution, lower mean-time-to-repair (MTTR), and prevent support calls altogether.

Establishing “Supervised Autonomy” as an Operator Standard
Broadband operators manage mission-critical residential infrastructure and are understandably cautious regarding unmonitored AI actions that could accidentally disconnect whole neighborhoods.

By combining autonomous agent execution with role-based permissions and auditable safety boundaries, Airties models how telecommunications software can safely deploy AI at scale. Operator teams retain total oversight over population-scale interventions while allowing routine, single-home optimizations to occur automatically in the background.

Broad Operational Impact on Broadband Providers and Enterprises

For telecom executives, Chief Technology Officers (CTOs), and Vice Presidents of Customer Experience navigating rising operating expenses (OpEx) and high subscriber churn, adopting agentic network intelligence delivers immediate financial and operational advantages:

Insulating Operating Margins Against Field Service Costs
Rolling a technician truck to a subscriber’s home is one of the single most expensive operational events for an ISP. Resolving mesh bottlenecks, client steering errors, and physical placement issues autonomously through software allows broadband providers to drastically slash truck roll volumes, directly protecting operating margins.

Lowering Subscriber Churn and Enhancing Customer Lifetime Value (LTV)
In the highly competitive broadband industry, bad WiFi experience is the biggest reason for customer churn. Network optimization before the customer can feel the impact on their video streaming performance will not only boost Net Promoter Scores (NPS), but will also help to keep Average Revenue Per User (ARPU).

The post Airties Debuts “Aura” Agentic AI Engine to Transform Connected Intelligence for ISPs appeared first on ITDigest.

In Hardware and Network news this week…

Equinix Launches Fabric One to Simplify AI and Multi-Cloud Interconnectivity
Equinix has launched Fabric One to simplify connectivity across AI workloads, cloud platforms, and distributed enterprise infrastructure. The solution is designed to help organizations establish more seamless interconnections across multiple environments while improving flexibility and network management. As enterprises increasingly distribute AI workloads across clouds and data centers, streamlined interconnectivity is becoming critical to maintaining performance and scalability.

In Artificial Intelligence news this week…

PwC and Palantir Expand Strategic Alliance to Accelerate Production-Grade Enterprise AI Deployment
PwC and Palantir are expanding their strategic alliance to help organizations move AI initiatives from experimentation into production. The collaboration focuses on combining Palantir’s AI and data capabilities with PwC’s industry and transformation expertise to support enterprise-scale deployments. The partnership reflects growing demand for practical AI solutions that can deliver measurable business value while addressing governance and operational requirements.

In Cloud Computing & Mobility news this week…

HUMAIN Partners with Compal to Expand Cloud-to-Edge AI Infrastructure
HUMAIN and Compal have partnered to expand AI infrastructure spanning cloud and edge environments. The collaboration aims to support the growing computational requirements of AI applications while enabling workloads to operate closer to where data is generated. Cloud-to-edge architectures can help organizations improve responsiveness, manage data efficiently, and support AI use cases that require low latency.

In Enterprise AI news this week…

Boomi Introduces Agent Control Plane to Solve the Enterprise AI Governance Crisis
Boomi has introduced an Agent Control Plane designed to provide enterprises with greater oversight of AI agents and their activities. The technology focuses on governance, visibility, and control as organizations deploy increasing numbers of autonomous AI systems across business workflows. Establishing centralized management will be increasingly important for enterprises seeking to scale agentic AI while maintaining security, compliance, and accountability.

In FinTech news this week…

Visa Enhances A2A Protect to Help Financial Institutions Combat Real-Time Fraud
Visa has enhanced A2A Protect to help financial institutions detect and combat fraud across real-time account-to-account payments. The solution is designed to strengthen fraud prevention as instant payment systems expand and transactions move faster than traditional monitoring processes. Enhanced real-time protection can help financial institutions reduce fraud exposure while maintaining faster and more convenient payment experiences.

In HealthTech news this week…

Abcam and Genedata Collaborate to Accelerate AI-Driven Antibody Development
Abcam and Genedata are collaborating to accelerate antibody development through AI and advanced scientific data capabilities. The partnership aims to improve research workflows and help scientists work more efficiently with complex biological information. AI-driven approaches could help life sciences organizations shorten research cycles and support the development of new therapeutic candidates.

In Cybersecurity news this week…

Cognizant and CrowdStrike Unify IT and OT Security to Protect Critical Operations
Cognizant and CrowdStrike are combining IT and operational technology security capabilities to help organizations protect critical operations. The collaboration addresses the growing convergence between enterprise IT systems and operational environments, where cyber incidents can have significant operational consequences. Unified visibility and threat detection can help organizations strengthen resilience across increasingly connected infrastructures.

Article of the Week

Eco-Friendly Enterprise Software Initiatives: How Businesses Can Build More Sustainable Digital Operations

Sustainability is becoming an increasingly important consideration in enterprise technology strategy as organizations seek to reduce the environmental impact of their digital operations. Businesses can improve efficiency through optimized software, cloud resource management, automation, energy-conscious infrastructure, and responsible data practices. By embedding sustainability into technology decisions, enterprises can reduce resource consumption while improving operational efficiency and supporting broader environmental objectives.

The post ITDigest’s Weekly News Roundup Featuring Equinix, PwC, HUMAIN, Boomi, Visa, Abcam, Cognizant, and more appeared first on ITDigest.

By completing verification of the 3GPP RAN5 NR conformance test case TS 38.523-1 TC 7.1.1.12.5 for SSSG at an early stage, the two companies supported early readiness of this feature across the 5G conformance ecosystem. The verification was carried out using a mobile test platform using Qualcomm® X105 5G Modem-RF and the R&S TS-PCT protocol conformance test platform from Rohde & Schwarz, which is based on the CMX500 5G one-box signaling tester. SSSG optimizes the PDCCH monitoring behavior in 5G NR devices. This reduces unnecessary monitoring activity and helps improve power efficiency.

Also Read: Aetina Launches MegaEdge AIP-RQ87 2U Edge AI System for Private LLMs, AI Agents and Intelligent Automation

Rohde & Schwarz and Qualcomm Technologies are the first to complete all relevant test aspects for this conformance test case. During the verification work, the companies also identified areas where the underlying conformance specification could be improved and supported the submission of a change request to 3GPP RAN5, the group responsible for conformance test specifications. This links practical verification work with ongoing standardization development.

This combination of test execution and standards input shows how verification work can also improve the quality of future test specifications. For device manufacturers, the wireless chipset ecosystem and certification organizations, it marks a step toward reliable testing of advanced 5G power-saving functions.

The post Rohde & Schwarz has achieved initial verification of 3GPP Rel. 17 power-saving feature SSSG for 5G NR appeared first on ITDigest.

Developed with lead integration partners Amazon Web Services (AWS) and Google Cloud, Equinix Fabric One utilizes open connectivity standards to support seamless interoperability across hybrid enterprise IT ecosystems. Instead of manually engineering individual network links, organizations can define specific connectivity requirements through digital interfaces, allowing Equinix Fabric One to automatically orchestrate and manage underlying network paths. Concurrently, the company announced Equinix® Inference Exchange to accelerate global enterprise AI infrastructure deployments.

“For decades, enterprise networks have been built one connection at a time for each partner and provider they depend on. That approach doesn’t scale in a world of distributed AI that demands dynamic, flexible and real-time connectivity,” said Chris Audie, Chief Product Officer, Equinix. “Equinix Fabric One will reduce the complexity that’s slowing enterprises down by automatically managing connectivity across distributed architectures, based on the customer’s intent.”

Also Read: Lightyear Debuts First Agentic Platform for Enterprise Telecom Lifecycle

Streamlining Complex Multi-Cloud and AI Network Operations

As modern enterprises expand connections across diverse cloud environments, specialized AI models, and regional facilities, traditional network engineering creates administrative bottlenecks. Equinix Fabric One modernizes this framework by allowing teams to request outcomes through natural-language prompts, developer APIs, automation scripts, or management portals.

Once triggered, the managed service automatically handles routing protocols, cloud interconnections, encryption parameters, network resiliency, and failover mechanics as a unified operational layer.

“Networking is still a key area of enterprise infrastructure that remains heavily dependent on manual design and operations,” said Andrew Buss, Senior Research Director, Cloud and Datacenters, Enterprise Infrastructure at IDC. “Organizations are increasingly looking for ways to simplify and automate how connectivity is provisioned and managed across distributed cloud and AI environments, but achieving this transformation remains a major challenge. Advances that enable more integrated automation and intent-driven approaches can reduce operational complexity and risk while supporting the flexibility modern AI and multicloud architectures require.”

Equinix Fabric One builds upon the company’s vendor-neutral ecosystem, which connects over 10,500 enterprise businesses and approximately 3,000 cloud and IT service providers. The infrastructure currently supports active deployments for eight of the top 10 global AI model developers and nine of the top 10 neocloud providers.

Neutral Architecture Built on Open Standards

Equinix Fabric One leverages the open-source OpenAPI 3.0 Interconnect specification co-developed alongside AWS and Google Cloud to maintain cross-platform interoperability. As enterprise computing transitions toward autonomous agentic architectures, software applications and AI agents can discover, request, and configure network connections programmatically without human intervention.

“Customers shouldn’t have to figure out how to connect across multiple clouds and AI environments on their own,” said Robert Kennedy, Vice President, AWS network services. “They should just define what they need and have it work. Fabric One builds on the open interconnect specification that AWS and Google Cloud helped define and deliver exactly that. A managed service that handles the complexity so customers can focus on their AI workloads, not how everything connects.”

“Cross-cloud interoperability is the backbone of the AI era,” said Rob Enns, Vice President of Engineering, Cloud Networking, Google Cloud. “We helped establish the open interconnect specification so enterprises no longer have to manage the complexity of multi-cloud networking. By combining Google Cloud’s Cross-Cloud Network capabilities with Equinix Fabric One, we are giving customers an automated, intent-driven network that lets them quickly deploy distributed AI workloads.”

“As technology environments become more distributed, AI workloads and multicloud architectures require connectivity that is flexible, scalable and easier to manage,” said Paul Hager, CEO, Hyundai AutoEver America. “Equinix Fabric One has the potential to accelerate our efforts to meet those needs.”

The post Equinix Launches Fabric One to Simplify AI and Multi-Cloud Interconnectivity appeared first on ITDigest.

In Hardware and Network news this week…

FS Launches 800G Muxponder to Power Next-Gen AI and Cloud Networks
FS launched D7070 series Integrated 800G Muxponder and thus extended its DCI product lineup to 800G line capacity. The 1U platform consolidates the current 100 GbE and 400GbE client services into four 800G coherent waves, providing 3.2 Tb/s aggregate line capacity across data centers, metro and regional networks. This launch is an important step for the Optical Networking, Telecommunications and Data Center Infrastructure industries, allowing scaling 800G transport into a flexible and open software architecture.

In Cybersecurity news this week…

Cloudera and NVIDIA Partner to Accelerate Apache Spark Pipelines and Slash Cloud Compute Spend
Cloudera, the industry leader in hybrid data platforms, has joined hands with NVIDIA and is now providing GPU-accelerated Spark 4.1 within Cloudera Data Engineering. The solution leverages the NVIDIA CUDA-X library (cuDF) and enables data engineering teams to accelerate workloads by up to 4x. The solution comes with the recently unveiled Cloudera Anywhere Cloud and helps organizations to accelerate ETL (extract, transform, load) processes without any change in the existing PySpark and SQL code.

In Business Technology news this week…

Bain & Company Partners with Anthropic to Drive Enterprise AI Transformations
Bain & Company has announced a strategic global partnership with AI research firm Anthropic, joining the Claude Partner Network as a ‘Global Premier’ partner to help enterprise clients accelerate from initial AI experimentation to full-scale, value-generating deployments. The collaboration unites Anthropic’s frontier Claude models with Bain’s industry expertise and 1,500-strong multidisciplinary team of AI, data, and analytics specialists to deliver end-to-end strategy, technology modernization, and AI-enabled operations.

In Artificial Intelligence news this week…

Seclore and Glean Partner to Deliver Context-Aware, Persistent Data Security for Enterprise AI
Seclore announced a strategic partnership with enterprise AI platform leader Glean. The integration unifies Glean’s enterprise context graph with Seclore’s ARMOR Data Security Posture Management (DSPM) and Enterprise Digital Rights Management (EDRM) capabilities. By writing persistent classifications and encryption controls directly onto source files, the joint solution ensures that sensitivity labels follow data wherever it travels—whether opened in native applications, shared externally, or surfaced through conversational AI.

In Big Data news this week…

SQD Partners with Google Cloud to Expand Blockchain Analytics Capabilities via BigQuery
SQD has announced a strategic partnership with Google Cloud to integrate its validated data pipelines into Google Cloud Web3 Blockchain Analytics within BigQuery. Executed through SQD’s enterprise division, SQD 360, the collaboration feeds cryptographically verified on-chain datasets directly into Google Cloud’s fully managed serverless platform, enabling developers, analysts, and enterprises to query structured blockchain records without running dedicated nodes.

In FinTech news this week…

Flagright Partners with Nacha to Enhance ACH Compliance and Risk Prevention
Flagright has officially been named a Nacha Preferred Partner for ACH Compliance, Fraud Monitoring, and Risk and Fraud Prevention, marking a significant milestone in its expansion across the payments landscape. Organizations utilize Flagright’s transaction monitoring engine to oversee incoming and outgoing ACH payment flows, detect deviations from normal behavior, and prioritize alerts based on dynamic risk parameters by leveraging customer-configured rules alongside machine-learning anomaly detection.

In Enterprise Software news this week…

NTT DATA Acquires Netgain to Build Sweden’s Largest Pure-Play ServiceNow Entity
Global digital business and IT services leader NTT DATA has announced the acquisition of Stockholm-headquartered ServiceNow specialist Netgain AB, combining its operational scale with The Cloud People acquired by NTT DATA in December 2025 to establish Sweden’s largest pure-play ServiceNow consultancy. Founded in 2008, Netgain brings approximately 60 specialists and over 160 certifications across IT Service Management (ITSM), Human Resources (HR), and Customer Service Management (CSM), expanding NTT DATA’s strategic presence and capacity across the Nordics and broader European markets.

In IT & DevOps news this week…

Progress Debuts Telerik and Kendo UI Updates for Agentic Application Build
Enterprise software leader Progress Software announced the latest release of Progress® Telerik® and Progress® Kendo UI®, introducing context-aware AI capabilities designed to streamline UI engineering and support agent-driven software architectures. The updated suite enables software engineering teams to transition from standard AI-assisted coding toward building production-ready applications that support interactions from both human users and autonomous AI agents.

Article of the Week

Cloud Security Best Practices: How Enterprises Can Protect Data, Applications and Cloud Infrastructure

With IaaS, the customer has a larger security responsibility because it controls more of the environment. Operating systems, applications, network settings, identities, and configurations can all sit within the customer’s area of control. With PaaS, the provider manages more of the underlying platform, but the customer still has to secure applications, data, identities, and configurations. SaaS moves more infrastructure responsibility to the provider, yet the customer still controls things such as user access, permissions, and data handling.

The post ITDigest’s Weekly News Roundup Featuring Anthropic, F5, Google Cloud, SQD, NTT DATA, Cloudera, Bain & Company and more appeared first on ITDigest.

As enterprises transition from AI experimentation to production, organizations demand on-premises solutions delivering robust performance, data security, and seamless integration. Traditional AI servers often require complex infrastructure planning, large footprints, and specialized resources. AIP-RQ87 addresses these challenges with a compact 2U chassis, flexible AI accelerator support, high power capacity, exclusive Power Distribution Board (PDB) design, and modular tool-less maintenance-enabling businesses to reduce deployment complexity while efficiently deploying advanced AI workloads where data is generated.

Deconstructing Heterogeneous Edge Computing: A Highly Flexible Modular AI Inference Platform
MegaEdge AIP-RQ87 is purpose-built for system integrators, AI developers, research labs, and SMEs, delivering a flexible on-premises AI platform that eliminates the complexity of traditional infrastructure. The system features high-bandwidth, low-latency PCIe Gen5 x16 architecture with support for both NVIDIA RTX PRO 6000 Blackwell Series GPUs and Qualcomm® Cloud AI 100 Ultra accelerators-allowing enterprises to select optimal computing configurations based on workload requirements, power constraints, and budget.

Also Read: IDS at VISION 2026: Trends. Innovations. Future 

AIP-RQ87 integrates Intel® Core Ultra 5/7/9 processors with Intel® Q870 chipset, supporting up to 256GB DDR5 memory within a compact 2U footprint (500mm depth). Optimized for private large-parameter LLMs, RAG, and enterprise AI inference, the platform enables deployment of AI agents, multimodal AI, and intelligent automation across verticals-from knowledge assistants and legal compliance to video analytics and smart retail.

Proprietary Hardware Innovations for Maximum Field Reliability

To enable stable operation of dual 600W AI accelerators in a compact 2U edge system, AIP-RQ87 incorporates patent-pending hardware innovations and industrial-grade specifications:

•  Proprietary Power Distribution Board (PDB) [Patent Pending]: Aetina’s innovative “cable-free split-circuitry design” disrupts conventional chassis designs plagued by dense cable bundles. By distributing power through a centralized backplane, this architecture optimizes delivery to high-wattage accelerators, reduces cable clutter, and enhances stability during sustained high-load operations.

• Modular Tool-Less GPU and SATA Box Design [Patent Pending]: This service-friendly innovation enables instant tool-free hardware installation, upgrades, and maintenance-significantly reducing mean time to repair (MTTR) while improving service efficiency and deployment flexibility

•  2000W Power Supply: Integrated industrial-grade high-wattage PSU provides maintainable power capacity for mission-critical AI applications-ideal for smart retail, smart cities, enterprise data centers, and edge nodes requiring continuous operation

• Featured 1x 10G LAN Port (10GbE): High-speed 10GbE transmission eliminates bandwidth bottlenecks in massive data exchange and distributed machine learning, ensuring millisecond-level responsiveness and optimized AI inference performance.

Enabling Private AI, Intelligent Automation, and Real-Time Decisions
As enterprise AI progresses from proof-of-concept toward scaled deployment, organizations prioritize data sovereignty, deployment efficiency, and long-term operations over model performance alone. For enterprises processing sensitive data internally while minimizing cloud dependency, on-premises AI deployment is becoming critical.

MegaEdge AIP-RQ87 helps enterprises retain core data internally, reduce cloud transfer costs and latency, and provide controllable computing foundations for private LLMs and AI agents. Key deployment scenarios span three directions:

•  Private AI Knowledge Assistants & Legal Compliance: Integrate product documentation, SOPs, internal knowledge bases, and regulatory data for real-time semantic retrieval and knowledge Q&A.

•  Intelligent Document Processing (IDP) & Business Automation: Support classification, extraction, summarization, and report generation from contracts, invoices, and business records-enhancing workflow approval and operational efficiency.

•  Financial Industry Applications: Serve as intelligent wealth management advisors, smart regulatory compliance assistants, and financial risk management solutions.

Richard Hung, Vice President of Product Division at Aetina, stated: “Enterprise AI competitiveness now extends beyond model capabilities to deployment efficiency, data sovereignty, and long-term operations. Aetina MegaEdge AIP-RQ87’s rapidly deployable 2U edge platform helps enterprises and SIs pragmatically implement private LLMs, AI agents, and intelligent automation-making on-premises AI truly achievable.”

Mass Production Ready, Actively Expanding Global On-Premises AI Markets
MegaEdge AIP-RQ87 has entered mass production with CE, FCC Class A, and UKCA certifications, ready for global deployment. With AIP-RQ87 joining the MegaEdge PCIe Series, Aetina expands its enterprise-grade edge AI infrastructure portfolio-helping customers build secure, scalable, maintainable on-premises AI environments and accelerate from private LLM adoption to large-scale intelligent automation.

About Aetina
Aetina, a provider of state-of-the-art AI solutions, offers a wide range of AI computing systems, platforms, hardware, and software tools ideal for the creation of different types of vertical AI. Aetina’s integrated solutions empower its Arm, x86 computers, GPUs, ASIC hardware, cloud management software, and development tools with artificial intelligence, delivering comprehensive, tailor-made hardware and software suites to enable smooth, quick system intellectualization progress at the edge. With its ecosystem network, Aetina makes the creation and deployment of any specific AI-powered applications highly achievable by leveraging its global partners’ AI technologies.

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In order to cope with such increasing demands for inter-site throughput, the network infrastructure company FS launched D7070 series Integrated 800G Muxponder and thus extended its DCI product lineup to 800G line capacity.

The 1U platform consolidates the current 100 GbE and 400GbE client services into four 800G coherent waves, providing 3.2 Tb/s aggregate line capacity across data centers, metro and regional networks. This launch is an important step for the Optical Networking, Telecommunications and Data Center Infrastructure industries, allowing scaling 800G transport into a flexible and open software architecture.

Technical Performance: High-Density 800G Aggregation in a 1U Footprint

The primary engineering achievement behind the D7070 Series is its ability to maximize wavelength efficiency while maintaining low power consumption and flexible multi-rate compatibility. By leveraging 800G CFP2-DCO coherent line modules alongside 800G ZR Tunable DWDM optics, the system enables operators to move high-capacity traffic across dense wavelength-division multiplexing (DWDM) infrastructure without requiring a complete overhaul of lower-rate client interfaces.

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The platform introduces several key operational capabilities:

Flexible Multi-Service Aggregation: Accommodates 100G QSFP28 and 400G QSFP112 client pluggables, allowing network operators to pool legacy client links into high-speed 800G trunks.

Open Architecture & Multivendor Management: Features standardized WebGUI and CLI management interfaces designed to integrate seamlessly with third-party Network Management Systems (NMS), preventing vendor lock-in.

Comprehensive DCI Spectrum: Completes an optical transport portfolio spanning rapid 100G point-to-point links (D5110), encrypted 200G OTN transport (D710), compact 400G ZR/ZR+ deployments (D6000), and high-capacity metro transport (D7000).

Transforming the Optical Networking and Telecommunications Industry

The migration of 800G coherent optics from specialized high-end routing cores to versatile DCI muxponders accelerates major structural shifts across the optical transport vendor landscape.

The Shift Toward Coherent Plug-and-Play DCI
For over a decade, scaling inter-data-center bandwidth required deploying complex, proprietary optical line systems that demanded specialized optical engineering teams.

FS’s rollout of an open, pluggable-based 800G muxponder reflects the industry’s transition toward coherent modular transport. By pairing standardized 800ZR/ZR+ technology with standardized management interfaces, optical networking is shifting from closed ecosystem hardware to open, interoperable architectures.

Aligning Transport Infrastructure with AI “Scale-Across” Demands
Historically, data center networking focused on “scale-up” (adding compute inside a chassis) or “scale-out” (adding servers within a hall). The rise of distributed multi-gigawatt AI clusters has popularized scale-across architectures, where multiple physical facilities function as a single logical data center.

Muxponder innovations like the D7070 elevate optical transport from a background utility into a core component of the AI technology stack. Telecommunications providers and cloud service providers (CSPs) are increasingly evaluated on how quickly and efficiently they can deliver high-capacity optical interconnects between distributed compute nodes.

Broad Operational Impact on Enterprise Businesses

For cloud hyperscalers, telecommunications operators, and enterprise IT leads managing bandwidth-intensive applications, adopting 800G DCI transport offers distinct operational and financial advantages:

Protecting Operating Margins Through Capital Efficiency
Deploying physical dark fiber on a regional scale is one of the most capital-intensive elements in network engineering. By Really increasing the throughput per wavelength on existing fiber lines, the need for more fiber leases or civil construction is avoided resulting in protection of the operating margin.

Running Real-Time Hybrid Cloud and AI
When a facility has issues with inter-facility latency or bandwidth, the distributed database synchronization is delayed and the AI model training gets stalled. Deploying high- density 800G optical interconnects ensures there is smooth running of business data across hybrid clouds enabling running of real-time analytics, distributed AI inference, and automated disaster recovery operations without network performance degradation.

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