In Hardware and Network news this week…

Innodisk Launches DDR5-8000 RDIMM for Edge AI and High-Performance Computing

Innodisk is expanding its memory portfolio with a DDR5-8000 RDIMM designed to support edge AI and high-performance computing workloads. As enterprises deploy increasingly compute-intensive applications closer to where data is generated, high-speed and reliable memory is becoming an important infrastructure component. The new memory solution is positioned to support demanding workloads that require greater processing performance, helping organizations build infrastructure capable of handling AI, analytics, and other data-intensive applications.

In Business Technology news this week…

Arcadis Deepens Autodesk Collaboration to Accelerate AI-Led Infrastructure Delivery

Arcadis is deepening its collaboration with Autodesk to advance AI-led infrastructure delivery. The partnership highlights how engineering and infrastructure organizations are incorporating AI and digital technologies into design and project workflows. By combining industry expertise with Autodesk’s technology capabilities, the collaboration aims to support more efficient infrastructure development and help organizations manage increasingly complex projects through data-driven and AI-enabled processes.

In Cloud Computing & Mobility news this week…

Thales and Google Cloud Partner to Secure Agentic AI Workflows and Safeguard Autonomous Execution

Thales and Google Cloud are partnering to address security requirements surrounding agentic AI workflows and autonomous execution. As AI agents gain the ability to perform tasks and interact with enterprise systems, organizations need stronger safeguards around access, data, and automated actions. The collaboration focuses on helping enterprises deploy agentic AI while maintaining security and control, reinforcing the importance of trusted infrastructure as autonomous AI becomes more widely adopted.

In Artificial Intelligence news this week…

IBM Introduces Self-Hosted Deployment for IBM Bob to Advance Enterprise AI Sovereignty

IBM is introducing a self-hosted deployment option for IBM Bob to give enterprises greater control over their AI environments. The move addresses growing demand for AI sovereignty, particularly among organizations that need to maintain control over sensitive data, infrastructure, and AI workloads. Self-hosted deployments can provide businesses with greater flexibility around data governance and operational control as they integrate AI into critical enterprise processes.

In FinTech news this week…

Oracle Introduces Agentic AI Solutions to Fight Financial Crime

Oracle is introducing agentic AI solutions aimed at helping financial institutions combat financial crime. AI agents can support processes such as monitoring, investigation, and analysis by handling complex workflows and identifying relevant patterns across large volumes of financial information. The development reflects the financial sector’s growing interest in applying agentic AI to strengthen compliance operations while improving the speed and efficiency of financial crime detection and response.

In HealthTech news this week…

Oracle Launches Oncology EHR to Accelerate AI-Driven Cancer Care

Oracle is introducing an oncology-focused electronic health record designed to support AI-driven cancer care. The platform aims to provide healthcare organizations with specialized digital capabilities for managing oncology workflows and clinical information. As healthcare providers increasingly explore AI for clinical support and care coordination, purpose-built health technology can help make relevant patient information more accessible while supporting more connected approaches to cancer treatment and management.

In Enterprise Software news this week…

Omnissa Launches Omnissa Elara to Govern AI and Enterprise Actions

Omnissa is launching Omnissa Elara to provide governance over AI-driven and enterprise actions. As organizations introduce AI agents capable of interacting with applications and executing tasks, governance becomes increasingly important for maintaining visibility, control, and accountability. Elara is designed to address this emerging requirement by helping enterprises manage AI activity and automated actions across their digital environments while supporting more controlled adoption of agentic technologies.

Article of the Week

Data Science in Enterprise Business: How Organizations Turn Data Into Smarter Decisions and Growth

Data science is becoming an increasingly important part of how enterprises turn large volumes of information into actionable business insights. From predictive analytics and operational optimization to customer intelligence and strategic planning, organizations can use data science to identify patterns and make more informed decisions. This guide explores how businesses are applying data-driven approaches to improve operations, uncover opportunities, and support sustainable growth in an increasingly data-centric enterprise environment.

The post ITDigest’s Weekly News Roundup Featuring Autodesk, Thales, Google Cloud, IBM, Oracle, Omnissa and more appeared first on ITDigest.

Also Read: WisdomAI Partners with Teradata to Deliver Agentic Intelligence for Mission-Critical Data 

“By bringing together SAP Cloud Infrastructure with the NetApp Platform, we can empower customers to build an intelligent data infrastructure that delivers the agility, resilience, performance and security required to take on the most demanding tasks and complex problems across the most demanding environments.” The initiative is also expected to address country- and industry-specific compliance requirements across SAP’s global cloud infrastructure footprint, which spans multiple regions and availability zones. Jonathan Bletscher, SVP, Head of Infrastructure Platform Engineering & Delivery, SAP SE, said, “SAP Cloud Infrastructure is the foundation for secure, resilient and sovereign digital transformation. Together with NetApp, we are exploring ways to strengthen the infrastructure and data layer that enables SAP applications, SAP Business AI Platform and customer workloads to run with the performance, availability and security our customers expect.” The companies also plan joint go-to-market initiatives to help customers migrate, modernize, and operate SAP and non-SAP workloads on SAP Cloud Infrastructure, while evaluating NetApp Object storage through a technical validation.

Read More: NetApp to Expand Partnership with SAP to Support SAP Cloud Infrastructure

The post NetApp and SAP Expand Partnership to Advance SAP Cloud Infrastructure appeared first on ITDigest.

To help overcome this bottleneck in cloud security, the worldwide leader in information security and defense Thales unveiled a strengthened strategic partnership with Google Cloud.

The partnership integrates the Thales AI Security Fabric natively into Google Cloud Gemini Enterprise, establishing integrated runtime protection, threat detection, and policy enforcement across agentic AI workflows.

The News: Real-Time Runtime Enforcement and Agent-to-Agent Governance

The primary technical advancement delivered by the Thales and Google Cloud collaboration is the transition from perimeter-based cloud security to in-line, runtime governance for autonomous agents. Rather than treating AI models as simple software endpoints, the integrated architecture continuously monitors communications between autonomous agents, foundational models, enterprise data lakes, and third-party tools.

Also Read: Arcadis Deepens Autodesk Collaboration to Accelerate AI-Led Infrastructure Delivery

Key architectural capabilities introduced in the announcement include:

Real-Time Agentic Threat Mitigation: Protects against emerging AI vulnerability vectors including direct and indirect prompt injection, sensitive data spillages, unsafe model outputs, and unauthorized system commands.

Agent-to-Agent Communication Control: Implements granular permission boundaries governing how autonomous agents interact with one another, preventing cascading unauthorized actions across multi-agent workflows.

Integrated Gemini Enterprise Governance: Connects the Thales AI Security Fabric directly into Google Cloud’s enterprise AI suite, giving security operations (SecOps) teams unified visibility over model usage and data access.

Centralized Compliance and Audit Tracing: Generates immutable, real-time audit trails detailing agent decisions, tool execution histories, and data touchpoints to satisfy regulatory governance frameworks.

Transforming the Enterprise Cybersecurity & Cloud Infrastructure Industry

The joint release by Thales and Google Cloud marks a decisive structural turning point across the Enterprise Cybersecurity, Cloud Infrastructure, and AI Governance sectors.

The Phase-Out of “Static” Cloud Security Models
For years, cloud security platforms relied on static identity and access management (IAM) roles, API gateways, and perimeter firewalls. However, autonomous agents do not follow predictable, linear code paths; they dynamically evaluate goals, call external APIs, and execute database queries on the fly.

This integration accelerates the obsolescence of static perimeter defenses. The cybersecurity industry is entering an agentic runtime security era, where governance tools are evaluated on their ability to inspect model reasoning streams, evaluate context in real time, and intercept unauthorized agent commands before execution occurs.

Establishing “Identity for AI Agents” as a Security Baseline
As enterprises deploy hundreds of specialized AI agents across internal departments, defining agent identity and operational boundaries has emerged as a major challenge.

By embedding the Thales AI Security Fabric into Google Cloud’s AI infrastructure, the partnership establishes zero-trust agent identity as an enterprise standard. Security platforms must now treat AI agents as distinct digital identities equipped with specific least-privilege access boundaries, continuous authentication, and strict action limits.

Broad Operational Impact on Enterprise Businesses Operating in this Sector

These are the direct business cases and strategic benefits that integrated agentic security tools offer to CISOs CTOs cloud architects managing AI pipelines:

Accelerated Transition from AI Pilots to Production: Strengthening security guardrails allows executive leadership to implement autonomous agent initiatives beyond R&D sandboxes and into core business processes.

Prevention of Catastrophic Operational Anomalies: Identifies unwanted agent actions before they execute rogue commands that would change production database, delete cloud infrastructure or dump proprietory intellectual property.

Simplified Multi-Jurisdictional Regulatory Compliance: centralized audit logs of agent-driven data access then also make it easier to report toward compliance with strict privacy laws and new international AI safety regulations.

Lowered Total Cost of Security Operations (TCO): Placing agent runtime security on the core cloud platform removes the requirement for developing costly, custom in-house security wrappers for every individual AI model deployment.

By replacing reactive security measures with proactive, runtime agent governance, Thales and Google Cloud provide a viable blueprint for the agentic era enabling enterprises to unleash autonomous AI productivity without compromising systemic security or regulatory compliance.

The post Safeguarding Autonomous Execution: Thales and Google Cloud Partner to Secure Agentic AI Workflows appeared first on ITDigest.

In Hardware and Network news this week…

Lumen Launches Intelligent Internet to Bring Cloud-Like Agility to Enterprise Networks

Lumen is introducing its Intelligent Internet initiative to bring greater agility and intelligence to enterprise networking. The offering is designed to give businesses more flexible control over network connectivity while supporting the changing requirements of cloud-based and distributed workloads. As enterprises increasingly depend on digital infrastructure, more adaptable networks can help organizations respond to shifting performance demands and support applications across increasingly complex environments.

In Business Technology news this week…

CloudZero Launches AI Signals to Help Finance Leaders Control Scaling AI Spend

CloudZero is introducing AI Signals to help finance and technology leaders gain greater visibility into rapidly increasing AI spending. As businesses scale AI workloads, monitoring infrastructure and model-related costs is becoming an important part of financial management. The new capabilities are designed to provide organizations with insights into AI expenditure, helping finance teams understand spending patterns and make more informed decisions as AI adoption expands across the enterprise.

In Cloud Computing & Mobility news this week…

DigitalOcean Debuts Managed Agents to Streamline AI Execution, Inference and Tool Access

DigitalOcean is expanding its AI infrastructure portfolio with managed agents designed to simplify AI execution, inference, and access to external tools. The offering addresses the growing complexity of deploying AI agents and managing the infrastructure required for them to operate effectively. By providing more managed capabilities, DigitalOcean aims to help developers and businesses build and deploy agentic applications without having to manage every underlying infrastructure component themselves.

In Artificial Intelligence news this week…

LTM Launches BlueVerse SovereignSphere Models for Private Enterprise AI Execution

LTM is introducing BlueVerse SovereignSphere models to support private enterprise AI execution. The initiative focuses on organizations that require greater control over how AI models and workloads are deployed, particularly where data privacy, security, and sovereignty are important considerations. As enterprises increasingly explore AI for sensitive business processes, private and controlled AI environments are becoming an important part of enterprise technology strategies.

In Quantum Computing news this week…

IonQ and SDT Partner to Deploy Quantum Computing and Networking Infrastructure

IonQ and SDT are partnering to advance the deployment of quantum computing and networking infrastructure. The collaboration reflects the industry’s broader effort to develop the technologies needed to connect and scale quantum systems. Quantum networking is expected to play an important role in future quantum computing ecosystems, and initiatives focused on infrastructure deployment can help move the technology toward more practical applications and broader accessibility.

In FinTech news this week…

Oracle Expands Digital Assets Data Nexus to Bridge Core Banking and Tokenized Finance

Oracle is expanding its Digital Assets Data Nexus to help connect traditional core banking infrastructure with tokenized finance. The development reflects the growing convergence between established financial systems and emerging digital asset technologies. By improving the flow of data between these environments, financial institutions can explore tokenization and digital asset use cases while maintaining stronger integration with existing banking operations.

In HealthTech news this week…

Oracle Launches Oncology EHR to Accelerate AI-Driven Cancer Care

Oracle is launching an oncology-focused electronic health record designed to support more connected and AI-enabled cancer care. The solution aims to bring clinical information and workflows together in ways that can support healthcare professionals throughout the oncology journey. As providers increasingly use AI to assist with clinical decision-making and care management, specialized digital infrastructure can help make relevant patient data more accessible and actionable.

In Cybersecurity news this week…

BigID Launches AgentiQ to Bring Agentic Automation to AI Security, Privacy and Compliance

BigID is launching AgentiQ to bring agentic automation to AI security, privacy, and compliance workflows. The platform addresses the growing need to manage the risks associated with expanding AI adoption, including data governance, privacy requirements, and security oversight. By applying agentic automation to these processes, organizations can work toward more continuous monitoring and streamlined compliance operations as AI becomes embedded across enterprise environments.

Article of the Week

Enterprise Metaverse Applications: How Businesses Are Using Immersive Technology to Transform Operations

Enterprise metaverse technologies are creating new possibilities for organizations to use immersive digital environments across business operations. From employee training and collaboration to product visualization, customer engagement, and remote experiences, immersive technologies can support applications beyond entertainment. This guide explores how businesses are evaluating enterprise metaverse use cases and how virtual and augmented environments can contribute to more interactive, connected, and digitally enabled operations.

The post ITDigest’s Weekly News Roundup Featuring Lumen, CloudZero, DigitalOcean, LTM, IonQ, SDT, Oracle, BigID and more appeared first on ITDigest.

Addressing these developer friction points, cloud infrastructure provider DigitalOcean announced the release of Managed Agents.

By bringing agent execution runtimes, governed tool integration, and serverless LLM inference onto a single integrated cloud platform, DigitalOcean eliminates the need for software engineering teams to manually build and maintain custom sandbox environments.

The News: Hardware-Isolated Sandboxes, Governed Tool Gateways, and Billing Optimization

The core technological advance of DigitalOcean Managed Agents centers on providing purpose-built primitives specifically designed for agentic workflows rather than retrofitting general-purpose virtual infrastructure.

Also Read: BigID Launches AgentIQ to Bring Agentic Automation to AI Security, Privacy, and Compliance

Key capabilities introduced in the public preview launch include:

Hardware-Isolated Harness Runtime: Executes agent sessions within dedicated Firecracker microVM sandboxes, providing hardware-level isolation for executing generated code, installing dependencies, and running background processes safely.

Action Gateway Tool Governance: Provides agents with access to over 16,000 tools and Model Context Protocol (MCP) servers, brokering API credentials at execution time outside the model’s context window while enforcing human-in-the-loop approval guardrails for sensitive actions.

Sub-Second Pause and Resume Persistence: Features an auto-pause mechanism that snapshots session state (files, memory, and processes), resuming execution in roughly 300 milliseconds when new tasks are triggered.

Active CPU Usage Pricing Model: Charges developers strictly for active compute cycles, pausing CPU and memory fees while agents wait for model inferences or external tool responses.

Native Ecosystem Integration: Connects directly with DigitalOcean’s Serverless Inference Engine—supporting over 75 models—as well as managed databases and object storage.

Transforming the Enterprise Cloud & AI Infrastructure Industry

DigitalOcean’s launch of Managed Agents marks a major structural shift across the Enterprise Cloud Infrastructure, AI Development Tools, and Cloud PaaS sectors.

The Obsolescence of “Stitched-Together” Agent Sandboxes
For the past two years, developers building agentic AI applications were forced to assemble custom stacks purchasing compute sandboxes from one vendor, credential brokers from another, and inference tokens from a third. This multi-vendor approach introduced severe operational friction, high latency, complex billing structures, and security vulnerabilities due to scattered credential handling.

DigitalOcean’s release accelerates the phase-out of piecemeal agent setups. The cloud platform industry is entering an integrated AI-native cloud era. Infrastructure providers are no longer evaluated simply on raw compute pricing or virtual machine provisioning speeds, but on whether they deliver unified execution sandboxes with native credential security and model access out-of-the-box.

Setting New Benchmarks for Consumption-Based Compute Economics
Traditional cloud instances charge for continuous compute uptime regardless of whether an agent is actively executing code, waiting for LLM tokens, or paused for human approval.

By stopping compute charges when agents idle and offering sub-second resume capabilities, DigitalOcean establishes agent-aware consumption economics as an industry benchmark. Cloud vendors must adapt their billing architectures to accommodate non-linear, bursty agentic execution patterns, lowering total cost of ownership (TCO) for enterprises deploying thousands of parallel agents.

Broad Operational Impact on Businesses Operating in the Cloud & AI Sector

For Chief Technology Officers (CTOs), engineering managers, and AI application developers operating across the cloud infrastructure ecosystem, adopting a unified agentic runtime provides direct strategic advantages:

Lower Total Cost of Ownership (TCO): Stop-the-clock compute fee discounts on model inference latency can reduce monthly cloud infrastructure costs by up to 37. relative to standalone sandbox services.

Improved Security and Zero Credential Leakage: (Action Gateway) Brokered API keys in transit at runtime “in the Action Gateway” ensures sensitive corporate tokens are protected from the LLM prompts or agent memory contexts.

Faster Time-to-Market for Agentic Products: agency teams can skip weeks of building infrastructure and get to work by as cheap, deploy parallel coding agents, support triage automation, and workflow bots right away.

Minimized vendor lock-in: enterprise applications can stay compatible across large software ecosystems as long as there’s native support for open-weight models, generated container images (OCI), and open MCP protocols.

By bringing execution environments, managed tool registry, and serverless inference under one cloud, DigitalOcean offers enterprise software teams the building blocks for securely scaling autonomous AI from isolated research projects to production- ready infrastructure.

The post DigitalOcean Debuts Managed Agents to Streamline AI Execution, Inference, and Tool Access appeared first on ITDigest.

Also Read: Spotfire Launches Push Compute on Snowflake AI Data Cloud to Accelerate Industrial Analytics

“WisdomAI was built for one job: to deliver trusted, accurate answers on enterprise data, the kind of data the business actually depends on, often regulated, often on-premises, almost always too important for a probabilistic guess. Teradata’s customers run exactly that data, and Tera is the right place to deliver agentic analytics to them. This partnership is a force multiplier for both sides of the data conversation. Business users finally get to interact with their data directly, and data teams get an AI partner that respects the governance, performance, and rigor they’ve built.” Reaffirming the operational benefit for regulated organizations, Sumeet Arora, Chief Chief Product Officer at Teradata, added: “The Teradata platform is built to bring enterprise-grade AI to the regulated and mission-critical data our customers can’t afford to compromise on. Embedding WisdomAI’s agentic analytics platform directly into Tera means business users can do more with that data without changing where it lives or how it’s governed. That’s exactly the kind of partnership we look for.” Overall, this alliance empowers enterprises to transition from experimental AI pilots to production-ready, governed agentic workflows, drastically speeding up decision-making while maintaining full data lineage and security compliance.

Read More: WisdomAI and Teradata Partner to Deliver Agentic Intelligence for Mission-Critical Enterprise Data

The post WisdomAI Partners with Teradata to Deliver Agentic Intelligence for Mission-Critical Data appeared first on ITDigest.

The release arrives as enterprise AI transitions rapidly from early-stage experimentation to production-grade deployments. On Fastly’s global network, machine-generated traffic surpassed 50% in July and August 2026, while AI traffic grew 6.5 times faster than human-generated requests between January and May 2026. Simultaneously, corporate cost pressure is escalating; industry studies from McKinsey indicate that 93% of organizations are currently exceeding their allocated AI budgets. Fastly’s programmable edge infrastructure directly addresses these cost and security risks by applying real-time policy enforcement inline across public, private, and self-hosted model providers.

“To effectively adopt coding agents and implement AI features without losing velocity or eroding existing business resilience, enterprises need control in production, at runtime, without delay, friction, or disruption,” said Kelly Shortridge, Chief Product Officer at Fastly. “Fastly is extending the real-time control customers already trust for content delivery and software security to the models, applications, and agents shaping this new era of distributed systems.”

Also Read: Abnormal AI Unveils AI Cloud Security Platform with OpenAI Daybreak Models 

Three Core Critical Paths for Enterprise AI Governance

Fastly’s updated portfolio establishes centralized governance across the three primary operational vectors of modern AI systems: applications making model calls, users and external systems interacting with AI-powered applications, and autonomous software agents querying corporate APIs.

The newly released solutions include:

AI Runtime Control (Governing AI Access and Usage): Consolidates model calls through a single edge endpoint across public and self-hosted environments. Utilizing virtual keys to safeguard underlying provider credentials, the system offers real-time tracking of token spend, rate limiting, budget caps, and automatic failover routing to maintain model choice while capping runaway costs.

AI Firewall (Protecting AI Applications): Delivers inline threat protection at the edge to mitigate Large Language Model (LLM) vulnerabilities, including prompt injection attacks. By evaluating prompts directly within the request path before they reach downstream models, the firewall blocks malicious payloads deterministically without requiring GPU overhead.

API Security (Controlling Agent Interactions): Enforces strict API schemas and contract rules across agentic, AI-assisted, and conventional traffic. IT security teams can observe or block non-conforming requests on a service-by-service basis, preventing autonomous agents from initiating unsupported operations or transmitting malformed data.

Unifying Security and Edge Infrastructure

Built onto Fastly’s high-capacity global network which operates at 622 Tbps of capacity and processes over five trillion requests daily the new AI tools integrate seamlessly with the company’s existing security platform, including Next-Gen WAF, Bot Management, ContentGuard, DDoS Protection, and API Discovery. By embedding AI governance directly into the edge delivery path, Fastly enables enterprises to protect their digital assets, optimize model performance, and prevent unbudgeted expenditure from a single management console.

The post Fastly Launches AI Firewall and AI Runtime Control to Secure and Scale Enterprise AI appeared first on ITDigest.

Khie announced her new executive leadership role via LinkedIn, expressing enthusiasm for taking charge of Kyndryl’s operational growth and client strategy across the key regional markets of Southeast Asia and Korea.

Before joining Kyndryl, Khie established a distinguished track record in technology leadership across Asia-Pacific. She previously served as Regional Director for Indonesia and Malaysia at Google Cloud and held country leadership positions at Microsoft, SAP, and Dell Technologies. Her extensive experience spans cloud transformation, enterprise software, data center modernization, and managing complex go-to-market strategies across diverse markets.

Also Read: Abnormal AI Unveils AI Cloud Security Platform with OpenAI Daybreak Models 

In her new capacity at Kyndryl, Khie will drive regional business operations, strategic partnerships, and customer digital transformation initiatives. Spun off from IBM in 2021, Kyndryl focuses on designing, building, managing, and modernizing mission-critical IT infrastructure for thousands of enterprise clients globally.

Khie’s appointment comes as enterprises in ASEAN and Korea rapidly accelerate hybrid cloud adoption, artificial intelligence integration, and cybersecurity resilience. Her deep market expertise and operational background will be key in expanding Kyndryl’s footprint and helping regional organizations modernize their core IT architectures.

The post Megawaty Khie Appointed Vice President & Managing Director, ASEAN & Korea at Kyndryl appeared first on ITDigest.

In Hardware and Network news this week…

Riverbed Unveils Agentic AI and 360-Degree Observability to Eliminate Network Blind Spots

Riverbed is advancing network management with agentic AI and 360-degree observability capabilities designed to provide deeper visibility across enterprise environments. The development addresses the growing challenge of network blind spots as infrastructure becomes increasingly distributed and workloads span multiple environments. By combining observability with AI-driven analysis and automation, organizations can gain greater insight into network performance, identify potential issues more quickly, and support more proactive IT operations.

In Business Technology news this week…

Zendesk Debuts Specialized AI Agents to Drive Industry-Specific Autonomous Customer Service

Zendesk is introducing specialized AI agents designed to support autonomous customer service across specific industries. Rather than relying solely on generalized AI capabilities, the approach focuses on tailoring agents to industry-specific workflows, requirements, and customer interactions. The development reflects the broader movement toward AI-powered service operations, where agents can handle routine requests and workflows while enabling human teams to focus on more complex customer needs.

In Cloud Computing & Mobility news this week…

Cisco Unveils AI and Splunk Advancements to Scale Operational Intelligence

Cisco is expanding its AI and Splunk capabilities to help organizations strengthen operational intelligence across their technology environments. The advancements bring together data, observability, and AI to help enterprises gain actionable insights from increasingly complex IT operations. As organizations manage growing volumes of data across distributed infrastructure, integrating intelligence into operational workflows can help teams identify issues, understand system behavior, and make faster decisions.

In Artificial Intelligence news this week…

OpenText and Cohere Partner to Deliver Agentic AI for Regulated Industries

OpenText and Cohere are partnering to bring agentic AI capabilities to regulated industries. The collaboration focuses on addressing enterprise requirements around data, security, governance, and controlled AI deployment. For organizations operating under strict regulatory obligations, the ability to use AI while maintaining oversight and compliance is becoming increasingly important. The partnership reflects growing efforts to make agentic AI suitable for environments where trust, security, and responsible data management are critical.

In Quantum Computing news this week…

Mitsubishi Electric Launches R&D Projects to Scale Quantum Computing Systems

Mitsubishi Electric is launching research and development projects focused on scaling quantum computing systems. The initiatives highlight continued industry investment in addressing the technical challenges involved in building practical and scalable quantum technologies. As businesses and research institutions explore potential quantum applications, advancements in system architecture and supporting technologies will be important for moving quantum computing from experimental environments toward broader real-world use.

In FinTech news this week…

Microsoft, Marvell and Utimaco Launch Cloud-Native Payment Security Architecture

Microsoft, Marvell, and Utimaco are collaborating on a cloud-native architecture designed to strengthen payment security. The initiative reflects the financial industry’s growing shift toward cloud-based infrastructure while maintaining stringent requirements for protecting sensitive payment information. By combining cloud capabilities with specialized security technologies, the architecture aims to support secure payment processing in modern digital environments and address the evolving security demands of financial institutions and payment providers.

In HealthTech news this week…

Oracle Health Launches Clinical AI Agent for Nurses to Cut Administrative Burden

Oracle Health is introducing a clinical AI agent aimed at helping nurses reduce administrative workloads. The development reflects the increasing use of AI to support healthcare professionals with time-consuming operational tasks, allowing more attention to be directed toward patient care. As healthcare organizations look for ways to improve efficiency while managing workforce pressures, specialized clinical AI agents could become an increasingly important component of digital healthcare workflows.

In Cybersecurity news this week…

Hexnode Unveils Hexnode Synapse to Drive Agentic IT and Security Operations

Hexnode is expanding its agentic AI capabilities with Hexnode Synapse, designed to support IT and security operations. The platform brings AI-driven orchestration into enterprise workflows, enabling organizations to automate and coordinate operational tasks across their technology environments. With security teams facing increasingly complex infrastructure and a growing volume of operational demands, agentic capabilities can help streamline processes, improve response workflows, and provide greater operational efficiency.

Article of the Week

Microservices Architecture for Enterprise: A Practical Guide to Building Scalable and Resilient Applications

Microservices architecture has become an important approach for enterprises seeking to build applications that can scale while remaining resilient and easier to manage. This guide explores the core principles of microservices and how organizations can structure applications as independently deployable services. It also provides practical considerations for enterprises adopting the architecture, including scalability, service management, resilience, and the operational complexity that comes with distributed application environments.

The post ITDigest’s Weekly News Roundup Featuring Riverbed, Zendesk, Cisco, OpenText, Cohere, Mitsubishi Electric, Microsoft, Oracle Health, Hexnode and more appeared first on ITDigest.

CTERA’s bespoke analysis of over 16 petabytes of live production data, captured across 856 file-share discovery scans in enterprise NAS environments across multiple industries, found that just 4.4% of stored capacity consists of data that users and applications regularly access. Across this massive estate, 88.3% of files had not been accessed in more than a year, while less than 10% of stored capacity had been accessed within the previous 90 days. The challenge for IT teams is determining which data can be safely moved to a lower-cost tier without compromising governance, accessibility, or future value.

Also Read: New CTERA Research Reveals Just 4.4% of Enterprise Storage Is Actively Used

The CTERA Data Archiving Solution helps IT teams determine what data should be archived and how. CTERA InsightAI uses agentic AI to infer what each file contains from its metadata – filename, path, extension, and directory context – and assess its value to the business, combining that understanding with age, type, size, and usage patterns to recommend which data can be archived. With CTERA Archive, organizations can then move those files to a dedicated, isolated archival tier within the same CTERA environment, while maintaining control over retention and access. Archived data can reside on lower-cost storage hardware or cloud services, providing a more economical alternative to keeping inactive information on primary storage. Because archived files stay within the CTERA Intelligent Data Platform, they remain governed and accessible to AI and analytics without a separate retrieval or rehydration step, so cold data can be moved off primary storage without being taken out of reach.

The CTERA Data Archiving Solution is designed to help organizations address four key challenges:

• Reduce storage costs: Identify inactive data consuming expensive primary storage and move it to a variety of lower-cost archival-class object storage targets.
• Simplify data lifecycle management: CTERA InsightAI agents infer file content and business significance from metadata, combining them with age, type, size, and usage patterns to surface archive candidates, removing the guesswork and manual effort involved in determining what to move.
• Maintain governance and compliance: CTERA Archive provides configurable retention policies and maintains an audit trail of archive and restore operations, including the operator, source, destination, reason, file count, size and timestamp.
• Lower data exposure and risk: Moving inactive data out of primary storage shrinks the amount of sensitive information exposed in file systems.

“Enterprise data volumes are going to continue to grow, but not all data needs to remain on primary storage or be immediately accessible. The challenge has always been knowing what data can safely move and then providing a practical path to execute that migration,” said Oded Nagel, CEO of CTERA. “By pairing CTERA InsightAI, which understands what data means to the business and not just how old it is, with the governance and controls of CTERA Archive, the CTERA Data Archiving Solution gives IT teams a much simpler, AI-guided way to bring discipline to the enterprise data lifecycle without sacrificing access. Archived data stays usable for AI and analytics rather than locked away.”

The post CTERA Launches AI-Assisted Data Archiving Solution to Help Reduce Enterprise Storage Costs appeared first on ITDigest.