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.

Addressing this security bottleneck, search and AI platform leader Elastic announced AlertZero, a team of specialized AI agents engineered to automate tasks across the full Security Operations lifecycle.

By deploying four role-specific AI agents termed “Watches” AlertZero shifts security operations from reactive manual triage to a governed, autonomous workflow designed to bring security queues down to a manageable, evidence-backed set of actionable items.

The News: Specialized Watches, Configurable Autonomy, and Bring-Your-Own-Model Execution

The primary innovation behind Elastic’s AlertZero architecture is replacing general-purpose conversational chatbots with role-based, specialized AI agents that execute discrete security functions. Built on top of Elastic Security’s search and analytics capabilities, AlertZero introduces four dedicated agentic “Watches”:

Triage Watch: Assesses incoming alerts, correlates related telemetry, separates benign false positives from legitimate threats, and prepares incident summaries with evidence-backed reasoning.

Hunt Watch: Continuously surveys the environment based on emerging threat research and active indicators, proactively searching for hidden attacker activity even before a detection rule fires.

Detection Watch: Analyzes noisy detection rules and coverage gaps, proposing rule refinements and new detection drafts to prevent future queue clutter (requiring human approval before applying changes).

Forensics Watch: Conducts deep endpoint analysis, examining memory, process trees, and exploit paths to deliver specialized investigative depth when work exceeds standard tier-1 staff skills.

Crucially, AlertZero features configurable autonomy levels. Organizations can decide how much authority to delegate to each Watch—ranging from manual review for high-risk actions to supervised automation for host isolation—while keeping critical policy changes strictly under human approval. Additionally, AlertZero supports bring-your-own-model (BYOM) deployment, allowing enterprises to leverage local or cloud-hosted LLMs (such as Bedrock, Azure AI, or local air-gapped models) to preserve strict data sovereignty.

Also Read: Cisco Unveils Agentic Collaboration Experiences to Reshape the Future of Work 

Transforming the Cybersecurity & Security Operations (SecOps) Industry

Elastic’s launch of AlertZero signals a major structural shift across the Cybersecurity, Security Information and Event Management (SIEM), and Security Operations Center (SecOps) landscape.

The Sunset of Passive “Alert Aggregation” Dashboards
For over two decades, SIEM and security analytics platforms competed primarily on data ingestion speed and dashboard visualization. However, providing more dashboards without automated reasoning simply escalated analyst workload.

AlertZero accelerates the transition toward an Agentic SOC era. Security platforms are no longer evaluated merely on their ability to centralize log data, but on whether their native AI agents can autonomously contextualize, investigate, and present completed work items to analysts rather than raw, unverified alerts.

Standardizing “Guardrailed Autonomy” in Threat Response
Early attempts at automated security orchestrators failed due to “black-box” decisions that risk breaking critical production applications or closing valid incidents without explanation.

By enforcing inspectable agent reasoning streams and mandatory human gates for policy changes, Elastic establishes governed AI autonomy as a SecOps standard. Security tools must now offer transparent audit trails explaining how an AI agent reached a conclusion before executing response actions.

Broad Operational Impact on Enterprise Businesses Operating in Cybersecurity

In particular, for CISOs, SOC managers, and IT infrastructure managers overseeing enterprise security operations, implementing specialized agentic SOC workflows brings forth several unique benefits:

Massive Decrease in MTTD (Mean-Time-to-Detect) and MTTR (Mean-Time-to-Respond): The ability to automate the initial phase of triaging and correlation allows security personnel to detect and stop any ongoing attack within minutes instead of days.

Addressed Shortages in Cybersecurity Expertise: Assigning routine work such as tier-1 triage and forensic analysis to specialized agents enables existing cybersecurity teams to perform as efficiently as a team much bigger in size.

No More “Alert Fatigue” and Analyst Overwork: The filtering out of false alerts enables analysts to work on their tasks like threat hunting, incident response, and proactive design of security architecture.

Maintaining Data Governance in Highly Regulated Industries: Offering air-gapped and local deployment options means that the highly regulated industries (e.g., finance, defense, healthcare) can use AI-assisted SOC automation without risking any exposure of telemetry to cloud endpoints.

By moving away from alert categorization and onto a more autonomous and evidence-driven workflow, AlertZero from Elastic offers a very realistic approach to modern-day cyber defense operations.

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As the quantum computing hardware advances closer to commercialization, enterprise entities encounter many technical challenges in developing complex quantum algorithms and adopting them into mature HPC applications. Typical quantum programming involves extensive low-level synthesis of fundamental gates, which introduces critical bottlenecks for developers. The collaboration between Classiq and NTT DOCOMO BUSINESS alleviates such challenges by enabling enterprise research teams to automate the process of synthesizing quantum circuits from business use-cases.

Unifying Quantum Software Automation and Cloud Infrastructure

Through this partnership, NTT DOCOMO BUSINESS integrates Classiq’s quantum algorithm design platform into its enterprise cloud service portfolio. Business customers in financial modeling, material science, logistics optimization, and pharmaceutical studies have access to top-end functional modeling facilities where code is compiled automatically on various quantum hardware architectures.

Also Read: EPB Launches IonQ Forte Enterprise Quantum Computer 

Key technical capabilities and operational advantages delivered by the strategic partnership include:

Automated Quantum Circuit Synthesis: Compiles high-level functional constraints into gate-level quantum circuits optimized for specific quantum processing units (QPUs).

Cross-Platform Hardware Interoperability: Supports seamless algorithm execution across leading superconducting, trapped-ion, and photonic quantum computing platforms.

Hybrid Quantum-Classical Orchestration: Integrates quantum execution pipelines directly into enterprise cloud infrastructure and classical supercomputing clusters.

Turnkey Enterprise Skilling: Delivers structured training and consulting services to help internal corporate R&D teams build sustainable quantum algorithm competencies.

Accelerated Time-to-Solution: Shortens quantum application development cycles from months to days through automated abstraction and error-mitigation protocols.

Driving Commercial Quantum Value Across Regional Markets

By pairing Classiq’s automated software synthesis engine with enterprise-grade cloud security and consulting services, NTT DOCOMO BUSINESS equips Chief Technology Officers (CTOs), chief data officers, and R&D executives to establish early-mover advantages in quantum computing. The alliance provides the foundational software layer required to transition quantum research projects into commercial production assets.

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Elliott announced her new leadership role via LinkedIn, expressing enthusiasm for guiding marketing execution, brand development, and strategic client engagement for the corporate banking division.

A Chartered Financial Analyst (CFA) charterholder, Elliott brings deep experience in growth marketing, client strategy, and brand transformation across financial services. Recognized as one of the Top 100 Most Effective Marketers, her career spans senior marketing leadership roles where she has focused on driving revenue growth, optimizing client acquisition channels, and aligning marketing strategy with broader corporate objectives.

Also Read: Pinterest Appoints James Dibbo as Chief Financial Officer

Barclays UK Corporate Bank provides tailored banking, debt finance, cash management, trade, and working capital solutions to medium-sized businesses, large corporates, and institutional clients. As commercial organizations navigate changing macroeconomic environments, digital payments migration, and sustainable finance initiatives, strategic marketing and clear client communication remain vital for market retention and growth.

In her capacity as CMO, Elliott will oversee end-to-end marketing strategy for the corporate bank, driving brand alignment, client insights, and commercial growth initiatives to expand Barclays’ enterprise footprint in the UK market.

The post Barclays Appoints Anouschka Elliott as Chief Marketing Officer for UK Corporate Bank appeared first on ITDigest.

James brings over 25 years of technology leadership experience spanning publicly traded and private equity-backed enterprises. He joins Bellevue-based Acumatica from Aptos Retail, where he served as CIO overseeing multi-cloud SaaS platforms across AWS, Azure, and Google Cloud. He previously held CIO positions at Net Health and Optima Healthcare Solutions, where he led cloud modernization, cybersecurity compliance, and M&A technology integration.

Acumatica provides cloud-based business management software covering financial management, supply chain, CRM, and inventory control. As cloud ERP adoption expands among mid-market enterprises, internal IT governance and AI deployment remain critical operational priorities.

Also Read: Omnissa Appoints Amit Singh as Chief Executive Officer 

“JJ is a proven CIO who leads technology organizations that scale with growing businesses,” said John Case, CEO of Acumatica. “His experience managing all aspects of IT through periods of growth and transformation will be invaluable as we continue delivering the reliability and innovation our community counts on.”

“My focus is putting AI to work across Acumatica while keeping security at the core, so we can move fast without compromising the trust our expanding community of customers, partners and developers places in us,” said James.

Beyond his corporate roles, James is an author and speaker whose insights have appeared in Forbes and The Wall Street Journal. He holds a master’s degree in applied information management from the University of Oregon and a bachelor’s degree from Oregon State University.

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The Problem: Millions of patients leave hospitals with undiagnosed conditions

Hospitals today are overwhelmed with understaffed clinical teams and manual screening processes. This creates a cycle of worse health outcomes and systemic financial loss. Consider malnutrition: Most hospitals still screen for it with two questions that a nurse asks once, at admission. Patients who are sedated, confused or too sick to answer are the ones most likely to be missed. Up to half of hospitalized patients are at risk, yet fewer than 9% are formally diagnosed, contributing to increased morbidity, mortality, length of hospital stay, and cost1,2,3. When malnutrition is diagnosed and treated, it leads to better health outcomes, and hospitals can claim ~$11,000 in reimbursement for each severe malnutrition diagnosis. One Penn Medicine hospital observed that Healthleap drove $23.8M a year from a combination of incremental reimbursement revenue and the financial impact of length-of-stay reductions.

“Every week, millions of patients leave hospitals with unresolved health conditions that will erode their health and cost up to 10x more to treat later,” explained Josiah Meyer, co-founder and CEO of Healthleap. “Finding them now is prevention, and it’s a win for everyone. Patients get treated before they get sicker. Hospitals shorten stays and are paid for the care they deliver. Payers avoid the much larger cost of complications down the road. Our goal is to improve care and save lives by catching these conditions early.”

Also Read: Arcadia Launches Healthcare Performance Platform to Improve Clinical, Operational, and Financial Outcomes

How Healthleap helps hospitals

Starting with malnutrition, a condition that costs the US healthcare system up to $58B annually, Healthleap is the first and only validated AI malnutrition screening tool that delivers an EHR-integrated screening layer for hospitals. Created by clinicians for clinicians, it continuously analyzes every patient’s record, including notes, labs, vitals, orders, problem lists, and flags risk for conditions. Healthleap then pushes actionable risk scores into optimized EHR workflows to support clinicians in identifying, treating, and improving their patients’ health. Hospitals can screen every patient every day with higher precision. The result is shorter lengths of stay, improved patient outcomes, and increased hospital reimbursement. With demonstrated results in malnutrition, the company is rapidly expanding to other conditions, including congestive heart failure, pressure ulcers, various hospital-acquired infections, and more. Its platform is HIPAA-compliant and SOC 2-certified.

“Healthleap is focused on finding patients who are being missed and getting them the care they need,” said Alfred Lin, Partner at Sequoia Capital. “The impact for both patients and hospitals has been inspiring, with one hospital seeing 39% more malnutrition cases identified and treated, and $11 million in incremental revenue in a single health system.”

Josh Kopelman, co-founder and partner at First Round Capital, shared, “We were immediately drawn to Healthleap’s bold vision: imagine if every hospital could use real-time AI to spot overlooked clinical risk, improve patient care, and unlock meaningful reimbursement revenue. That’s exactly what Healthleap is delivering and more, starting with disease-related malnutrition and rapidly expanding across conditions to save lives and hospitals money.”

Healthleap was founded by sibling duo Josiah and Jemima Meyer, who teamed up after Jemima, as a clinician, started building tools to help herself and colleagues treat patients faster. They started Healthleap in 2022 to build proactive, preventive systems and safety nets for patients across the world. They aim to improve the health of as many people as possible.

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In an attempt to bridge this gap, networking and enterprise technology leader Cisco Systems revealed a comprehensive lineup of collaborative agentic systems at its WebexOne 2026 conference.

The new features expand the Webex system around three important operational concepts: collaboration, space, and customers.

The News: Claude Integration, RoomOS 27, and the Dialog Agentic Harness

The primary technical advancement of Cisco’s announcement is shifting enterprise AI from reactive, prompt-based assistants into autonomous digital teammates that operate inside shared organizational context. Rather than treating video, messaging, hardware, and customer contact systems as distinct silos, Cisco integrates an agentic control plane across its entire hardware and software stack.

Also Read: GitLab Unveils the Governed Software Factory to Secure Autonomous AI Pipelines 

Key technical highlights and architectural capabilities introduced in the release include:

Claude Managed Agents & Model Context Protocol (MCP): Integrates Anthropic’s Claude directly into Webex spaces, enabling autonomous agents to execute multi-step workflows such as pulling analytics, drafting presentation assets, or executing cross-platform updates—using shared enterprise context. In addition, Cisco introduced support for the Model Context Protocol via OpenAI integrations (dots) to deliver personalized personal intelligence.

RoomOS 27 & Native Google Meet Interoperability: Launches RoomOS 27, the operating system powering Cisco collaboration devices. The software introduces native support for Google Meet alongside Webex, Microsoft Teams, and Zoom, while embedding edge-AI room assistants capable of interpreting natural language environment prompts (e.g., automatically adjusting HVAC or blinds) across 32 languages.

Dialog Agentic Harness for CX: Unveils Dialog, a continuous relationship harness for the Webex AI Agent platform. Dialog shifts customer support from isolated tickets to long-horizon execution allowing AI agents to autonomously manage multi-day tasks, coordinate back-end systems, and maintain persistent relationship history across channels.

Intelligent Workplace Experiences & Cisco Cloud Control: Extends spatial planning via Workplace Designer and introduces Workplace Insights to correlate Wi-Fi coverage, floor plans, and real-time room occupancy, allowing facilities teams to optimize real estate investments and troubleshoot disruption bottlenecks faster.

Transforming the Workplace Experience Technology Industry

Cisco’s release signals a major structural shift across the Workplace Experience (WX), Employee Engagement Technology, and Enterprise Collaboration sectors.

The Sunset of “Chatbot-Overlay” Collaboration Software
For the past three years, unified communications and collaboration (UC&C) vendors competed by adding basic conversational sidebars that answered basic text queries or generated meeting summaries. However, enterprise buyers found that overlay chatbots still required human employees to carry out actual cross-application execution.

Cisco’s announcement accelerates the phase-out of passive chat overlays. The workplace technology market is entering an agentic teammate era. Software platforms are no longer evaluated simply on messaging features or video quality, but on whether their AI agents can be @mentioned directly into team channels to execute complex, multi-system workflows without human intervention.

Convergence of Physical Real Estate and Digital Experience Assurance
Historically, corporate real estate management operated completely separate from IT networking and employee communications tools. Facilities leads made lease decisions based on manual badge counts or static floor plans, while IT monitored network uptime in isolated dashboards.

By linking RoomOS 27 sensor data, Cisco Cloud Control telemetry, and physical floor plans into a single intelligence layer, Cisco establishes data-unified spatial management as an industry baseline. Workplace technology suites must now provide real-time, sensor-driven visibility into physical room usage, ambient controls, and network assurance within the same platform used for daily employee messaging.

Broad Operational Impact on Enterprise Businesses Operating in this Sector

There are several clear strategic benefits for CIOs, CHROs, and Heads of Corporate Real Estate that arise from using a collaborative agent architecture in an integrated form:

Elimination of Integration Costs of Hybrid Stacks: With native hardware support of multiple platforms (Webex, Teams, Zoom, and Google Meet), there is no longer any hardware lock-in and simplification of IT device management across global office footprints.

Real Estate Capital Expenditure and Leasing Optimizations: Access to real-time occupancy and room usage metrics will enable facility managers to resize physical office footprints and repurpose office spaces according to real-life employee activity.

Improved First Contact Resolution Rate for Customer Operations: Use of long-horizon agents in Dialog allows resolving customer problems over the course of days or even weeks without missing any context.

Enterprises-Level Governance for Autonomous Agents: Using Cisco AI Defense and Splunk observability in the process of agent execution will guarantee strict adherence of autonomous digital assistants to security and compliance policies.

Using physical office space monitoring, agentic workflow automation, and persistent customer relations tracking, Cisco helps enterprises map their path to building responsive AI-enabled workplaces.

The post Cisco Unveils Agentic Collaboration Experiences to Reshape the Future of Work appeared first on ITDigest.

The refreshed F5 BIG-IP Cloud-Native Edition from the company integrates new eBPF-based observability features with cloud-native network functions. It’s aimed at service providers struggling to keep pace with burgeoning 5G, edge and IT infrastructure requirements, as well as emerging AI-based workloads, all while delivering carrier-grade levels of control and performance.

“Service providers should not have to choose between cloud-native agility and the performance, security, and control required for critical network infrastructure,” said Kunal Anand, Chief Product Officer at F5. “BIG-IP Cloud-Native Edition brings proven F5 BIG-IP capabilities into Kubernetes, giving network and cloud operations teams a more consistent way to deploy, secure, observe, and operate 5G, edge, and AI infrastructure at scale.”

Also Read: Aeris Expands IoT eSIM Orchestration for Physical AI

The new platform enables various services like DNS, CGNAT, network security, subscriber policy enforcement, and traffic management to be deployed in natively supported Kubernetes environments. Additionally, the extended platform now includes support for a variety of protocols, such as TCP, UDP, HTTP/2, Diameter, SCTP, GTP, and SIP, enabling operators to modernize more network functions, and not restricting themselves to traditional web applications only.

F5 will also introduce BIG-IP eBPF Observability that enables observability into application and network behavior across multiple Kubernetes clusters. This tool is expected to help operations teams locate the root cause of performance and connectivity problems through the correlation of application, container, and network telemetry data.

Independent testing by The Tolly Group highlighted the potential infrastructure savings. In a DNS workload, F5 processed 1.9 times more queries per second while using 91.5% less CPU and delivering 48% lower average latency than the tested virtualized network function configuration. In a CGNAT scenario, the platform achieved comparable throughput while reducing CPU consumption by 79.7% and memory usage by 98.5%.

The enhancements give service providers a broader path toward Kubernetes-based infrastructure while helping them manage increasingly distributed 5G, edge and AI environments with greater efficiency and control.

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The collaboration combines DoiT’s Attribute cost-attribution platform and Forward Deployed Engineers with an AWS migration pathway designed for organizations adopting OpenAI technology. The goal is to help enterprises consolidate AI spending within their existing AWS infrastructure while maintaining the ability to track the business impact of that investment.

According to DoiT, its AI spend monthly per more than 4,000 of its customers is now about 100 times higher than it was two years ago. With increasing adoption of AI from research projects to production environments, the financial and engineering teams should know who is driving higher costs through AI.

Also Read: Fastly Launches AI Firewall and AI Runtime Control to Secure and Scale Enterprise AI

The company’s OpenAI-to-AWS GenAI Migration Accelerator, available through AWS Marketplace and approved through the AWS Foundational Technical Review, is designed to support that transition. It evaluates workloads against Amazon Bedrock’s capabilities and regional availability, enables parallel testing and allows organizations to shift workloads incrementally, with the option to reverse changes if necessary.

Once workloads are operating on AWS, Attribute brings OpenAI-related spending into the same cost model used for cloud infrastructure, data platforms and Kubernetes. DoiT says the platform can trace individual tokens, inference activity and training runs to the teams, products and customers driving them without requiring tags, SDKs or application code changes.

“AI earns its budget the same way every other investment does. It shows what it returns. Most teams cannot yet do that for their OpenAI spend, and many pay for it outside the cloud commitments they already carry,” said Vadim Solovey, CEO of DoiT. “Nobody should have to choose between the models they want and the cloud they have committed to. Our partnership with OpenAI, together with our long history on AWS, lets us solve both for every team building on OpenAI,”

DoiT’s Forward Deployed Engineers will also support customers with architecture, model selection and cost-attribution strategies as AI deployments scale.

The partnership highlights the growing need for enterprises to pair AI adoption with stronger financial governance and measurable returns.

The post DoiT Partners with OpenAI to Optimize AWS Generative AI Deployments and Cost Control appeared first on ITDigest.

Mayr announced the promotion via LinkedIn, celebrating a six-year tenure at the company during which she led key regional marketing initiatives and customer lifecycle programs. In her elevated role, Mayr will lead integrated marketing strategy, campaign execution, and end-to-end customer journey optimization across EMEA, aiming to strengthen engagement from initial awareness through long-term client adoption.

Also Read: Spectra Logic and ICOS S.p.A. Partner to Expand Access to Data Storage Solutions for Italy 

Zscaler is a global leader in zero-trust cybersecurity, providing cloud-native security services, secure access service edge (SASE) solutions, and threat protection for global enterprise infrastructures. As organizations across EMEA accelerate digital transformation and remote access models, effective customer journey strategies remain critical to demonstrating platform value and driving enterprise expansion.

Mayr’s promotion reflects Zscaler’s commitment to internal career mobility and its strategic focus on aligning marketing campaign execution directly with regional growth targets and client retention efforts.

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