Three Developments Worth Watching

1. SentinelOne and Lenovo extend AI security: Integrating prompt protection into enterprise security offerings addresses growing risks from unauthorized AI use and data exposure.
2. Cognizant introduces AI Nexus: Managing AI costs, quality and outcomes becomes increasingly important as enterprises expand deployment.
3. Nutanix and Netris combine cloud infrastructure capabilities: Automated networking and multitenancy could help providers deliver secure GPU-based services more efficiently.

These developments demonstrate that successful AI adoption requires more than access to models. Enterprises need coordinated infrastructure, measurable performance and security controls that extend across the AI lifecycle.

5 IT and Technology News Stories

1. SentinelOne and Lenovo Extend Collaboration With AI Agent Security Capabilities

SentinelOne and Lenovo are expanding their partnership by integrating SentinelOne Prompt Security into Lenovo’s ThinkShield Security Portfolio, adding AI discovery, prompt protection and data loss prevention capabilities.

As employees increasingly use generative AI and autonomous agents, conventional endpoint security may not adequately address sensitive information entering external AI tools. Embedding AI governance into existing enterprise security offerings could help organizations adopt AI without relying on blanket restrictions. The challenge will be maintaining visibility across approved and unauthorized tools while ensuring policies keep pace with increasingly autonomous systems.

2. Cognizant AI Nexus Redefines Enterprise AI Infrastructure Governance

Cognizant AI Nexus focuses on helping enterprises govern AI costs, quality and outcomes as they deploy AI across business operations and technology environments.

As organizations expand AI adoption, fragmented deployments can make it difficult to track spending, compare model performance and demonstrate business value. A coordinated governance approach could help IT leaders make better infrastructure decisions and identify underperforming investments. The broader opportunity is to shift enterprise AI management from experimentation towards measurable operational outcomes. However, governance frameworks must provide actionable visibility without creating additional complexity for teams already managing diverse technology environments.

3. Nutanix and Netris Introduce Integrated Multitenant Infrastructure for AI Clouds

Nutanix and Netris are developing an integrated infrastructure stack combining compute orchestration, virtualization and network automation to support secure, multitenant GPU services for neocloud operators and enterprise data centers.

Demand for AI computing is increasing pressure on providers to deliver GPU capacity with reliable isolation, networking and self-service provisioning. Automating these layers could shorten deployment cycles and help providers monetize infrastructure more efficiently. For enterprise customers, stronger workload isolation may also support more secure shared environments. Commercial success will depend on interoperability, predictable performance and the economics of operating GPU-intensive services at scale.

4. Cloudflare Expands Its AI Workspace Platform

Cloudflare is expanding its AI Workspace ecosystem through partnerships designed to connect AI applications, edge inference, vector search, storage and enterprise security controls.

Businesses deploying AI assistants often encounter latency, fragmented data pipelines and concerns about exposing proprietary information to external models. Combining these capabilities within a connected platform could simplify development and improve access to enterprise knowledge. Edge-based inference may also benefit applications requiring responsive interactions. However, enterprises will need to assess model suitability, data residency, security controls and total operating costs before deciding which workloads belong at the edge or in centralized cloud environments.

5. S&P Global Strengthens Private Markets Analytics With New AI Capabilities

S&P Global is expanding its AI capabilities across private markets analytics, supporting investment professionals seeking deeper insights from complex financial and portfolio information.

Private markets involve fragmented data, extensive documentation and limited transparency compared with publicly traded assets. AI-powered analysis could help investors identify relevant information faster, evaluate portfolio risks and improve research workflows. Yet financial decisions require traceability and reliable underlying data. The competitive advantage will depend on whether these capabilities deliver verifiable insights while preserving confidentiality and analytical rigor, rather than simply accelerating document processing.

ITDigest Featured Article

Essential Enterprise IT Service Management Tools: How to Choose the Right ITSM Platform

The article examines how enterprises can select IT service management platforms based on workflow automation, incident resolution, asset visibility, integration and scalability. It highlights the importance of aligning platform capabilities with organizational requirements, service quality and budgets. As AI enters IT operations, businesses should also evaluate governance, usability and measurable improvements in service delivery.

The post ITDigest Weekly Roundup: AI Agent Security, Governed Enterprise Intelligence and the Next Phase of Cloud Infrastructure appeared first on ITDigest.

The integrated stack combines Nutanix Cloud Platform’s compute orchestration and virtualization layer with the Netris NAAM platform. Specifically engineered to satisfy the requirements of NVIDIA Cloud Partner technical specifications, the design enables cloud providers and enterprise IT to quickly deploy secure, GPU-accelerated IaaS services in bare-metal and virtualized deployments.

Overcoming Multitenancy and Infrastructure Problems When Scaling AI Clouds

With the growth of enterprise interest in generative AI and high-performance computing, neocloud vendors and enterprise teams are now fast-moving into creating extensive GPU clusters. Yet the transformation of processing resources into commercially viable GPU-as-a-Service is challenging due to a number of technical issues, including tenant isolation and network orchestration.

The creation of enterprise-ready AI cloud requires the provision of soft and hard network isolation throughout all infrastructure layers, from virtual machines and Data Processing Units (DPUs) to physical switches. The manual setup of network configurations becomes a bottleneck for fast customer onboarding and revenue generation.

Also Read: Rafay Systems Partners with Lenovo AI Innovators to Drive Infrastructure Monetization Across Global Markets 

By unifying compute provisioning with physical network orchestration, the Nutanix and Netris architecture removes these obstacles and enables tenants’ onboarding, strict data isolation among competing workloads, and the creation of cloud-like self-service management experience.

Some of the core capabilities and functionalities provided via the joint solution are:

Automatic Physical Fabric Configuration: Provides automatic configuration of the switching fabric and network services when allocating compute resources.

Bare Metal and Virtualized Network Consistency: Converts parameters of the Nutanix tenants into consistent network policies for both VMs and bare-metal GPU nodes.

Cloud Networking Constructs Access: Provides access to cloud networking constructs, including VPCs, Elastic IP addresses, NAT Gateways, Layer 4 Load Balancers via user-friendly web console, REST API, and Terraform providers.

Optimized AI Factory Network Fabrics: Provides optimized network fabric for AI applications, optimized for high throughput, North-South, East-West, and scale-up network traffic flows.

Hard and Soft Isolation Across the Stack: Extends the hardware-based tenant isolation from hypervisors to the physical network switches level for secure multi-tenant environment with shared GPU cluster.

“Neoclouds and NVIDIA Cloud Partners are at the forefront of the AI transformation, but building the cloud operating stack required to monetize GPU clusters at scale is remarkably complex,” said Ketan Shah, Vice President, Product Management, Nutanix. “By pairing Nutanix’s Agentic AI solution with the Netris NAAM platform, we will provide AI cloud operators with an out-of-the-box solution to accelerate their journey from metals to margins. We chose to partner with Netris, a leader in network automation, abstraction, and multitenancy, to give operators true self-service networking across both bare-metal and virtualized environments. This will enable our partners to deliver secure, multitenant IaaS environments quickly while maintaining the simplicity and enterprise reliability that Nutanix is known for.”

“AI infrastructure is scaling incredibly fast, and the network has to scale with it,” said Alex Saroyan, CEO and Co-Founder of Netris. “An AI cloud needs two layers working as one – Nutanix’s compute orchestration and virtualization, backed by deep operational leadership and experience, and Netris network automation, abstraction, and multitenancy. What makes this collaboration matter is that those layers stay continuously in sync, giving neoclouds and enterprises a single automated stack for secure, multitenant GPU services.”

“AI infrastructure providers are evolving beyond GPU capacity to deliver trusted inference environments, workload orchestration, agent lifecycle management, and managed AI services. The differentiator will be a cloud-like operating model that combines performance with control, isolation, and security at every layer of the stack.” Steve McDowell, Principal Analyst, NAND Research

The post Nutanix and Netris Partner to Unveil Integrated Multitenant Infrastructure Stack for Neoclouds and NVIDIA Cloud Partners appeared first on ITDigest.

The challenge is growing as enterprises distribute applications and workloads across on-premises infrastructure, public clouds, software-defined networks and cloud-managed security platforms. A 2026 Cloud Security Alliance survey found that 92% of organizations reported at least some difficulty obtaining a single, accurate view of security policies across their environments. Fragmented visibility and manual processes can make it harder to identify unintended connectivity, maintain compliance and understand the security implications of changes, particularly as AI-driven development and automation increase the pace of change across the enterprise.

TOS 5.4 addresses these challenges by extending Tufin’s coverage to three additional platforms Stormshield Network Security, Broadcom VMware Cloud Foundation (VCF) with NSX 9.1, and FortiManager Cloud while expanding rule recertification and compliance capabilities across cloud and multi-vendor environments. These enhancements help organizations bring more of their network under consistent governance, reduce gaps in policy visibility, and maintain security oversight as their infrastructure evolves.

Also Read: Quadient Expands Agentic AI to Accounts Receivable, Turning Customer Emails into Action 

“AI is changing how quickly organizations can transform their environments, and how quickly attackers can identify and exploit opportunities,” said Raymond Brancato, Tufin CEO. “Security teams cannot keep pace if they are working from fragmented views of their networks or relying on manual processes to understand the impact of every change. Many of the capabilities in TOS 5.4 came directly from our customers, who told us exactly where their visibility and compliance gaps were. This release closes those gaps across Stormshield, VMware, Fortinet, Palo Alto and the cloud.”

Expanding the Industry’s Most Comprehensive Network Security Platform

TOS 5.4 extends Tufin’s multi-vendor network security platform with new integrations and enhancements designed to provide consistent policy visibility, compliance, and automation across diverse infrastructure. Built on Tufin’s Unified Control Plane and Dynamic Network Connectivity Graph, the platform helps organizations understand connectivity and govern policy changes across heterogeneous environments. Key capabilities in this release include:

• Stormshield Network Security Support: Adds native support for Stormshield SNS firewalls, extending policy visibility, Unified Security Policy (USP) compliance, change tracking, network topology, and SecureChange access request automation. Stormshield is widely deployed across European government, defense and critical infrastructure, and this integration reduces manual audit effort for environments subject to NIS2. Organizations can bring Stormshield-managed environments into their broader network security governance processes, reducing policy blind spots and manual effort in mixed-vendor networks.
• Broadcom VMware Cloud Foundation with NSX 9.1 Support: Extends Tufin coverage to NSX 9.1 running on VMware Cloud Foundation, maintaining feature parity with previous NSX releases. Organizations undertaking the transition to VCF can preserve their existing Tufin policy management capabilities and maintain security visibility, compliance, change tracking, and automation throughout the migration.
• FortiManager Cloud Support: Extends Tufin policy management to FortiGate firewalls managed through FortiManager Cloud, providing the same visibility, topology, compliance, and automation capabilities available for on-premises FortiManager environments. This enables Fortinet customers moving to cloud-based management to maintain consistent policy governance without introducing separate manual processes.
• Improved Palo Alto Panorama Policy Analysis: Incorporates the rule Target field into policy visibility, revision comparison, shadowing detection, and traffic path simulation. By modeling the devices to which a rule actually applies, Tufin helps reduce false positives in policy cleanup and improve the accuracy of topology and connectivity analysis.
• Expanded Rule Recertification Across Cloud and Multi-Vendor Environments: Extends Tufin’s rule recertification workflow to supported cloud and multi-vendor platforms, including AWS Network Firewall, Azure Network Security Groups (NSGs) and firewall policies, Google Cloud VPC Firewall, Palo Alto Networks Strata Cloud Manager, VMware NSX-T Gateway, Cisco Meraki, Zscaler ZIA, Stormshield, and more. By bringing rules into a common review process, organizations can reduce compliance gaps, strengthen audit readiness, and identify rules that no longer meet business or security requirements.
• Enhanced Unified Security Policy Compliance: Adds application-specific blocking policies through Application ID support, enabling organizations to express and enforce application-level restrictions directly within USP. The release also introduces automated detection of next-generation firewall rules missing Security Profile Groups or Log Forwarding Profiles, helping teams identify gaps in inspection and logging controls without relying on manual rule reviews. In addition, for Akamai Guardicore and Illumio microsegmentation environments, USP compliance checks now evaluate all tags associated with an asset, including indirect tags, improving the detection of violations involving workloads with multiple classifications.

Improving Policy Accuracy, Optimization, and Change Automation

In addition to expanding platform coverage and compliance capabilities, TOS 5.4 introduces enhancements that help security teams improve policy accuracy, streamline network operations, and reduce the risk associated with infrastructure changes.

The post Tufin Advances AI-Ready Network Security with Expanded Platform Coverage and Compliance in TOS 5.4 appeared first on ITDigest.

Also Read: RapidCanvas Secures $29 Million Series B to Scale Managed Enterprise AI Execution Globally

The compact 1RU form factor makes it possible to do the processing of AMI through up to 400 Gbps of network traffic and provide optimized packet delivery through up to 800 Gbps. Thus, organizations will be able to grow their application intelligence and packet optimization as network traffic grows.“Hybrid AI and agentic workflows will fundamentally change how enterprises operate and secure increasingly distributed infrastructure,” said Gareth Maclachlan, chief operating officer at Gigamon. “As network and security operations become more AI-enabled, they need consistent, trusted network context to analyze activity and make informed decisions. The GigaVUE-GSA110 extends the Deep Observability Pipeline with distributed processing capacity and application intelligence at scale, helping organizations investigate issues faster, strengthen governance, and build a stronger foundation for AI-enabled operations.”

Read More: Gigamon Extends the Deep Observability Pipeline for AI-Enabled Network and Security Operations with New GigaSMART Network Appliance

The post Gigamon Unveils GigaVUE-GSA110 Appliance to Power AI-Enabled Network and Security Operations appeared first on ITDigest.

The appointment comes as telecommunications providers continue to compete for customers across home internet and fiber services. With broadband becoming an increasingly important part of the connectivity market, commercial leadership plays a key role in customer acquisition, retention, pricing, and business performance.

In his new position, Love’s responsibilities are associated with the commercial management of T-Mobile’s broadband business, which includes high-speed internet and fiber offerings. The role involves aligning growth strategies with customer demand, evaluating market performance, and coordinating initiatives across functions such as marketing, finance, pricing, and sales.

Broadband providers face growing pressure to attract new subscribers while retaining existing customers in a competitive market. Promotional strategies, customer experience, service availability, and pricing all influence purchasing decisions. Managing these areas requires a balance between subscriber growth, customer retention, and long-term revenue objectives.

Also Read: HighByte and Databricks Partner to Make Industrial Data More Accessible for AI Applications 

T-Mobile has been expanding its presence beyond traditional mobile services, with broadband representing an important part of its broader connectivity strategy. The company operates in a market where wireless home internet and fiber services are increasingly relevant to households seeking reliable connectivity for remote work, streaming, connected devices, and everyday digital activities.

Love’s appointment reflects the importance of commercial strategy in the evolving telecommunications landscape. As providers expand their broadband offerings, leadership teams must respond to changing customer expectations, competitive pressures, and opportunities across different distribution channels.

The move also highlights how broadband growth increasingly depends on more than network availability alone. Customer acquisition, retention planning, market intelligence, and coordinated execution are central to how telecommunications companies manage their services and compete for subscribers.

As the broadband market continues to evolve, commercial leadership will remain an important factor in shaping how providers pursue growth and respond to changing connectivity needs.

The post Sean Love Joins T-Mobile as Vice President of Commercial Management, Broadband appeared first on ITDigest.

Three Developments Worth Watching

1. DigitalOcean builds for self-improving AI agents: Managed memory, data services and feedback loops could simplify the development of autonomous applications.
2. NVIDIA and Cisco target AI infrastructure bottlenecks: High-density optical connectivity aims to support larger AI systems with greater efficiency.
3. HighByte and Databricks connect industrial data with AI: Governed, contextualized factory data could help manufacturers move from isolated experiments to operational use cases.

These developments matter because AI progress increasingly depends on what surrounds the model: reliable infrastructure, usable data and the ability to translate insights into action.

5 Technology News Stories

1. DigitalOcean Introduces Agent Learning and Data Services

DigitalOcean has introduced managed services for autonomous AI agents, combining persistent memory, vector data management and continuous feedback on its cloud infrastructure.

The move addresses a practical barrier to agent adoption: developers often need to assemble multiple services to maintain context and improve agent performance. Integrating these capabilities could reduce development complexity and make costs easier to manage, particularly for startups. However, self-improving systems still require evaluation, safeguards and human oversight. Easier deployment will matter most when agents perform reliably in real-world workflows.

2. NVIDIA and Cisco Collaborate on High-Density Optical Modules

NVIDIA and Cisco are developing a high-density, pluggable optical interface designed to connect increasingly large AI infrastructure and GPU clusters.

As AI workloads scale, networking bandwidth, power consumption and heat increasingly constrain data-center design. More efficient optical connectivity could help operators expand computing capacity without proportionally increasing networking overhead. A standardized approach may also simplify deployment across infrastructure ecosystems. The broader lesson is that AI scaling depends on more than faster processors. Connectivity and energy efficiency are becoming equally important considerations in infrastructure investment.

3. Xero Integrates Google Gemini for Financial Analytics

Xero is integrating its accounting intelligence with Google Gemini, allowing small businesses, advisors and bookkeepers to query financial data and generate reports through natural-language prompts in Google Workspace.

The integration could reduce the time small businesses spend switching between accounting dashboards, spreadsheets and documents to understand cash flow or investigate financial trends. It also brings AI closer to everyday decision-making instead of requiring users to learn separate analytics tools. The key test will be whether answers remain accurate, secure and useful enough to support financial decisions without replacing proper verification.

4. Atos and Fortinet Expand Their Global Cybersecurity Partnership

Atos and Fortinet are expanding their partnership into a globally coordinated cybersecurity model for hybrid and multicloud environments, combining security technology with consulting and managed services. The arrangement draws on Atos’s network of 17 security operations centers.

For multinational organizations, a more unified approach could reduce fragmented security policies, inconsistent regional contracts and visibility gaps across cloud environments. It also reflects demand for managed protection as security teams face complex threats and talent shortages. However, vendor consolidation only helps if organizations retain clear oversight, consistent service quality and measurable improvements in threat detection and response.

5. HighByte and Databricks Make Industrial Data More Accessible for AI

HighByte and Databricks are extending their integration to stream contextualized industrial data into the Databricks Data Intelligence Platform, supporting analytics, machine learning and agentic AI applications.

Manufacturers often hold valuable operational data across disconnected systems, making it difficult to use consistently in AI projects. Connecting industrial data with governed analytics infrastructure could reduce custom integration work and help teams apply insights to quality, productivity and maintenance. The challenge remains data quality and governance. AI cannot produce dependable operational decisions when underlying factory data is incomplete, inconsistent or poorly contextualized.

ITDigest Featured Article

Future of Digital Payments: How Fintech Disruption Is Reshaping the Global Financial Ecosystem

Digital payments are evolving through real-time transfers, digital wallets, embedded finance and AI-driven fraud detection. This article examines how these technologies are changing customer expectations, business cash flow and financial inclusion. It also explores persistent challenges, including cross-border friction, security risks, regulation and system integration. Its central argument is that faster payments create value only when businesses combine convenience with reliability, interoperability and customer trust.

ITDigest Weekly Observations

This week’s announcements point to a shift from isolated technology upgrades towards connected systems built for practical use. AI agents need reliable memory and governed data; AI infrastructure needs efficient networking; businesses need financial and operational insights they can act on; and cybersecurity must scale across increasingly complex environments.

The common challenge is execution. Integrations can reduce friction, but they cannot compensate for weak data, poor governance or unclear business objectives. As these technologies mature, the next question is: Which organizations will turn these connected capabilities into measurable productivity gains, and which will remain stuck in implementation?

The post ITDigest Weekly Roundup: Self-Improving AI, Smarter Infrastructure and the Future of Digital Finance appeared first on ITDigest.

Spectrum Instrumentation has introduced a new firmware option that enables its high-resolution 59xx series digitizers to perform onboard summation averaging. Averaging is a useful tool for reducing unwanted signal noise while, at the same time, improving measurement resolution, dynamic range, and signal-to-noise ratio (SNR). By performing the averaging directly in the onboard FPGA, the option significantly reduces the amount of data that must be stored or transferred for analysis. The result is a processing tool that allows the averaging of high-repetition-rate signals at up to 2 million events per second.

“This new option for the 59xx series provides an exceptional waveform averaging capability for users who need to characterize signals that may be masked or distorted by unwanted noise,” said Spectrum’s Director of Technology, Oliver Rovini. “The FPGA-based processing allows ultrafast averaging, even on waveforms that contain as many as 64 KiSamples per acquisition. It’s ideal for users working with signals or pulses that are low level, or where signal details are being lost due to high amounts of noise. This includes applications such as mass spectrometry, lidar, radio astronomy, automation, radar, biomedicine, nuclear physics, communications, sonar, and many more.”

Also Read: Rohde & Schwarz presents unique R&S NTS transfer standards for RF power traceability applications up to 170 GHz

About the 59xx Series Digitizers

The 59xx series digitizer range includes 24 PCIe card variants and 28 Ethernet-based instruments. The products offer maximum real-time sampling rates from 5 MS/s up to 125 MS/s, with 16-bit resolution and a choice of input channels ranging from 1 to 8 per PCIe card or from 4 to 48 per stand-alone instrument.

Connecting the PCIe cards together with the company’s proprietary Star-Hub system also enables the creation of acquisition systems with up to 128 fully synchronized channels. The PCIe cards allow streaming of acquired data to PCs or GPUs over the bus at rates of up to 700 MB/s.

About Summation Averaging

Summation averaging is a time-domain-based processing technique that reduces the random (uncorrelated) noise component of a signal and improves its signal-to-noise ratio (SNR). At the same time, the process increases a digitizer’s measurement resolution and dynamic range. Figure 2 illustrates how summation averaging can reveal signal details that would otherwise remain hidden by excessive noise.

In the example, a low-level signal (approximately 300 µV) is acquired by an M2p.5962 digitizer sampling at 125 MS/s. The signal is completely buried by random noise (top trace). Averaging eight times (middle trace) reveals details invisible in the original single-shot acquisition, with three pulses that occur every 3.6 µs.

Averaging 64 times (lower trace) improves the signal quality even further, exposing a pulse with an amplitude of approximately 300 µV, together with smaller pulses after it.

Ideally, if the noise is random while the signal is repetitive, then the summation averaging function can improve the SNR in proportion to the square root of the number of measurements (or averages). For example, averaging a signal 64 times may improve the SNR by as much as 12 dB or increase measurement resolution by around 2 bits. As such, summation averaging is a valuable tool that can be used to improve and extend the 16-bit resolution of the 59xx series digitizers. The new option, named M2p.xxxx-spavg, is available immediately for new 59xx series digitizers and can also be installed as a field upgrade on existing units.

The post Spectrum Instrumentation General-purpose digitizers get onboard averaging function appeared first on ITDigest.

Caption: With R&S NTS transfer standards national metrology institutes (NMIs) and accredited calibration laboratories can easily modernize their existing RF power calibration solutions.

Precise power measurements are a fundamental requirement for high quality industrial production, quality assurance and regulatory compliance. International quality management standards as well as product liability and environmental protection requirements mandate that measurement equipment be calibrated regularly and fully traceable to national standards. For decades, thermistor mount standards served as a reference for traceable RF power. However, the development and manufacturing of new parts ended years ago. Hence, neither replacement parts nor coverage of new frequency bands, such as D-band, are available.

Designed to replace obsolete thermistor standards

This is exactly where the R&S NTS product family from Rohde & Schwarz comes into play: it provides direct, high-performance replacement for thermistor mounts. Its compact form factor fits seamlessly into existing microcalorimeter setups without requiring additional base units. The sensors connect directly to commercially available, traceably calibrated DC nanovoltmeters, allowing laboratories to continue using familiar measurement workflows. At the same time, Rohde & Schwarz offers dedicated software support to simplify the transition from thermistor-based standards to modern thermoelectric technology.

Also Read: Rohde & Schwarz Adds Multi-Channel Pulse Analysis to FSWX 

Proven thermoelectric technology for metrology-grade accuracy

The thermoelectric power detector chip in R&S NTS was developed specifically for metrological RF-DC substitution. Its technology builds on more than two decades of proven Rohde & Schwarz experience with R&S NRP power sensors, refined for the highest accuracy requirements.

The transducer features two highly symmetrical RF and DC heaters that ensure near-perfect RF-DC substitution. Optimized heater design delivers excellent linearity, with operating-point influence on the calibration factor reduced to the PPM-per-milliwatt range. Outstanding RF properties such as excellent

impedance matching and an extremely flat frequency response minimize uncertainty across the entire operating range. A high maximum input power of +20 dBm and fast settling times further enhance usability in precision calibration environments.

Additional design details underline the metrology focus: a 4-wire DC heater connection for precise power substitution, low-impedance DC lines to minimize parasitic heating losses, and an integrated temperature sensor to compensate even the smallest thermal effects. Moreover, all models feature a robust push pull DC connector, low thermal mass and optional electronic device identification for automated calibration workflows.

A complete solution for the calibration hierarchy

At launch, the R&S NTS family includes multiple coaxial models from DC to 67 GHz and a waveguide model up to 170 GHz with a WR 6.5 connector. Special open, short and mismatched variants are available to support microcalorimeter correction factor determination. The product portfolio will continue to evolve, with further models being added in the future.

With the R&S NTS RF power transfer standards, Rohde & Schwarz empowers users to establish and maintain RF power traceability in-house. Combined with the R&S NRPC calibration solution, R&S NRP RF power sensors and a broad portfolio of RF signal generators, Rohde & Schwarz delivers a complete, end-to-end ecosystem for traceable RF power calibration along the entire calibration hierarchy.

The post Rohde & Schwarz presents unique R&S NTS transfer standards for RF power traceability applications up to 170 GHz appeared first on ITDigest.

Also Read: Rubrik Expands Project Hourglass to Strengthen AI Code Security With Claude

VORAGO’s products are intended for systems that are mission-critical and need the most resistant levels of weather, temperature, and radiation resistance, as seen in satellites, space exploration, defence, and industrial applications. The deal also brings specialist design knowhow that Microchip can leverage in its broader range of semiconductor-related products, as more commercial space and defence projects rely on tough electronics.”From terrestrial defense systems to satellite and space-based platforms, our aerospace and defense customers are designing systems that must operate reliably in increasingly harsh and complex environments,” said Steve Sanghi, Microchip’s CEO and President. “The acquisition of VORAGO strengthens our ability to support development in these demanding markets and reinforces our commitment to investing in technologies that align with our long-term growth strategy.”

Read More: Microchip Technology Acquires VORAGO Technologies

The post Microchip Technology Acquires VORAGO Technologies to Strengthen Aerospace, Defense, and Extreme-Environment Semiconductor Capabilities appeared first on ITDigest.

In Hardware and Network news this week…

F5 is helping telecommunications service providers modernize their critical infrastructure networks as connectivity demands and digital services continue to evolve. Modern network environments must support growing traffic volumes, emerging applications, and increasingly complex security requirements. Infrastructure modernization can help telecom operators improve network performance, strengthen resilience, and create a more adaptable foundation for delivering digital services. These capabilities are becoming particularly important as providers prepare their networks for increasingly distributed workloads and AI-driven applications.

In Business Technology news this week…

Cisco is advancing agentic collaboration experiences designed to bring AI more deeply into workplace communication and teamwork. The development reflects a shift from AI tools that simply answer questions toward systems that can assist with tasks and coordinate work across digital environments. For businesses, agentic collaboration could help reduce repetitive activities, streamline meetings and workflows, and enable employees to focus on higher-value responsibilities. Successful adoption will also depend on integrating these capabilities into existing work practices while maintaining appropriate oversight.

In Cloud Computing & Mobility news this week…

Cloudflare is introducing Basin to expand access to enterprise data analytics. Making analytics more accessible can help organizations enable a wider range of teams to work with data and derive insights without relying exclusively on specialized technical resources. As businesses generate information across increasingly distributed digital environments, accessible analytics capabilities can support faster decision-making and improve operational visibility. The broader trend is toward bringing data analysis closer to everyday business workflows so that insights can inform decisions across departments.

In Artificial Intelligence news this week…

EPAM is launching its Frontier AI service to help enterprises address the gap between AI capabilities and practical business intelligence. Organizations are increasingly looking to move beyond isolated AI experiments and apply advanced models to real operational challenges. Services focused on enterprise AI adoption can help businesses connect AI technologies with existing data, workflows, and business objectives. The opportunity lies in translating AI potential into measurable outcomes while addressing integration, governance, and organizational readiness.

In Quantum Computing news this week…

IBM has reached Stage C in the Defense Advanced Research Projects Agency’s quantum benchmarking initiative focused on fault-tolerant quantum systems. Fault tolerance is a critical challenge in quantum computing because quantum information is vulnerable to errors that can undermine calculations. Progress in benchmarking initiatives helps assess whether quantum technologies are advancing toward reliable, practical computation. Such milestones are important for the broader research community as it works to develop quantum systems capable of addressing problems beyond the reach of conventional computing.

In FinTech news this week…

Experian is introducing a Cashflow Data Bureau to support the use of cash-flow information in credit underwriting. Traditional credit assessments can leave gaps in the financial picture of individuals and businesses, particularly when conventional credit histories provide limited insight. Cash-flow data can offer additional context about income, expenses, and financial behavior, potentially helping lenders make more informed assessments. For financial institutions, alternative data sources could support improved risk evaluation and broader access to credit, provided that privacy, data accuracy, and responsible lending practices remain priorities.

In HealthTech news this week…

QIAGEN is expanding its AI-powered bioinformatics capabilities to support drug discovery and biological research. As researchers work with increasingly complex biological datasets, computational tools can help identify patterns, interpret molecular information, and generate insights that inform research decisions. Integrating AI into bioinformatics workflows could help pharmaceutical and biotechnology teams analyze data more efficiently and investigate potential therapeutic opportunities. These capabilities are part of a wider movement toward data-driven life sciences, where advanced analytics can complement experimental research and support the development of new treatments.

Article of the Week

Robotic process automation is helping enterprises automate repetitive, rule-based tasks across business functions. From processing invoices and updating records to handling routine administrative workflows, RPA can reduce manual effort and improve process consistency. This guide explores how organizations can use automation to scale operations, increase productivity, and free employees to focus on more complex work. It also highlights the importance of selecting suitable processes and integrating automation with broader digital transformation initiatives to achieve sustainable business value.

The post ITDigest’s Weekly News Roundup Featuring F5, Cisco, Cloudflare, EPAM, IBM, Experian, QIAGEN and more appeared first on ITDigest.