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.

Also Read: Microsoft and HUMAIN Expand Enterprise AI Partnership with AI PC and Productivity Bundle

Emphasizing the foundational role of enterprise data, Ayman Antoun, Chief Executive Officer of OpenText, stated: “Data is not the supporting act; it is what gives agentic AI the context it needs to perform. OpenText brings the data and context layer, while Cohere brings the orchestration and models that turn that data into agentic AI that acts with purpose.” Highlighting the operational transition from testing to enterprise deployment, Aidan Gomez, CEO and co-founder of Cohere, added: “By bringing North and our models together with OpenText’s trusted data and context, we’re giving organizations a secure path to move agentic AI from pilot to production and put it to work across the systems and workflows their teams rely on every day.” Ultimately, by unifying robust data governance with secure frontier models, the joint initiative provides risk-sensitive enterprise and public-sector organizations with a compliant, sovereign foundation to automate complex workflows and scale agentic AI effectively.

Read More: OpenText, Cohere Partner to Combine Trusted Data with Agentic AI

The post OpenText and Cohere Partner to Deliver Agentic AI for Regulated Industries appeared first on ITDigest.

In Hardware and Network news this week…

Zayo Launches Agentic Networking to Power AI Operations

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

In Business Technology news this week…

TeamViewer Expands Tia AI Platform From IT Guidance to Governed Action

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

In Cloud Computing & Mobility news this week…

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

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

In Quantum Computing news this week…

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

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

In FinTech news this week…

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

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

In HealthTech news this week…

Unchained Labs Launches AI Developability Workcell for Biologics R&D

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

In Information Security news this week…

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

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

Article of the Week

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

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

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

In Hardware and Network news this week…

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

In Artificial Intelligence news this week…

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

In Cloud Computing & Mobility news this week…

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

In Enterprise AI news this week…

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

In FinTech news this week…

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

In HealthTech news this week…

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

In Cybersecurity news this week…

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

Article of the Week

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

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

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

To systematically address these deployment challenges, consulting giant PwC US and big-data analytics leader Palantir Technologies Inc. announced an expansion of their strategic alliance.

The expanded partnership combines Palantir’s flagship software platforms Palantir Foundry and Palantir’s Artificial Intelligence Platform (AIP) with PwC’s industry, systems engineering, and business transformation expertise. Initially targeting three core business priorities scaling enterprise AI into production, transforming mergers and acquisitions (M&A), and modernizing enterprise resource planning (ERP) systems the alliance bridges the gap between software capability and operational business outcomes.

Also Read: Deloitte Launches Open Model Engineering Practice to Accelerate Enterprise Agentic AI 

Key Highlights of the Expansion

The primary technical and commercial breakthrough of the PwC-Palantir alliance is the introduction of specialized operational frameworks that deliver measurable business impact across complex corporate processes:

AI-Native Deals IT Platform for M&A: Introducing what the companies describe as the industry’s first AI-native deals platform powered by Palantir Foundry and AIP. The joint architecture is engineered to execute corporate transactions up to 50% faster while cutting one-time integration and separation costs by up to 45%.

AI-Enabled ERP Data Readiness: Pairing PwC’s deep SAP and enterprise software practice with Palantir AIP to clean, structure, and evaluate operational data prior to major ERP migrations, removing data quality as a primary implementation risk.

Scaled Engineering & Managed Services: Expanding joint implementation offerings across critical business units—including supply chain and logistics, cyber risk, customer lifecycle management, capital projects, and real estate.

Proven Track Record: Builds on demonstrated operational wins, including boosting supply chain efficiency by up to 10% for a global food manufacturer, elevating demand forecasting accuracy to 90–95% for a grocery retailer, and reducing out-of-service vehicles by 40% for a rental car fleet.

Transforming the IT Consulting, Systems Integration, and Enterprise AI Industry

The expanded collaboration between a global “Big Four” consulting firm and a core data platform provider accelerates fundamental structural shifts across the broader IT Consulting, Systems Integration, and Managed Services landscape.

The End of “Wrapper-Based” AI Consulting Services
During the initial wave of enterprise AI adoption, IT consultancies frequently built thin integration layers around public, third-party large language models (LLMs). However, corporate buyers are increasingly demanding deep operational ontology, data governance, and verified business outcomes.

The PwC-Palantir alliance signals a decisive transition toward deep platform co-engineering. Systems integrators are no longer evaluated solely on strategic advisory; they must possess the software engineering capability required to construct persistent enterprise ontologies, fine-tune domain-specific workflows, and govern data pipelines in real time.

Standardizing “Data Readiness First” in Complex ERP Modernizations
Historically, enterprise resource planning (ERP) migrations such as moving legacy environments to SAP S/4HANA were notoriously prone to budget overruns and timeline delays caused by bad historical data.

By embedding Palantir AIP directly into the pre-implementation phase, PwC establishes AI-driven data cleanup as an operational prerequisite. The systems integration sector will increasingly be forced to adopt automated data-remediation tools before executing platform migrations, dramatically lowering risk for global enterprise clients.

Broad Operational Impact on Enterprise Businesses

For executive leadership, Chief Information Officers (CIOs), and Chief Financial Officers (CFOs) navigating complex digital transformations and strict operating budgets, leveraging joint consulting-and-platform AI architectures yields direct strategic advantages:

Unlocking Capital Efficiency in Corporate M&A Transactions
Slow IT separation and system integration delays will directly impact transaction value in mergers, acquisitions, or divestures. Using M&A team a deals platform that is AI-native will help the team to automate data mapping, identify duplicate software licenses, and streamline operations in a couple of months instead of years to get the full deal value synergy and shareholder returns.

Safeguarding Technology Capital (CapEx) Against Project Failure
Abandoning stalled AI pilots or experiencing delayed ERP implementations burns millions in capital expenditure. Combining Palantir’s robust data orchestration layer with PwC’s hands-on industry expertise ensures that enterprise AI projects are anchored directly to measurable key performance indicators (KPIs). Enterprise leads gain an auditable, governed path to operational transformation that turns experimental technology into a defensible driver of profit margin growth.

The post PwC and Palantir Expand Strategic Alliance to Accelerate Production-Grade Enterprise AI Deployment appeared first on ITDigest.

Addressing these governance and economic challenges, professional services leader Deloitte announced the launch of its global Open Model Engineering practice.

Designed to help public and private sector clients design, deploy, and scale enterprise AI using open-source models alongside proprietary systems, the initiative provides organizations with greater control over their intellectual property, data residency, and inference economics. Initial deployments will focus across North America, Europe, and Asia-Pacific, backed by a commitment to hire and certify specialized “forward deployed engineers” through fiscal year 2027.

Technical Framework: Open Models, Sovereign Stacks, and NVIDIA Integration

The primary technical pillar of Deloitte’s Open Model Engineering practice is providing full-stack open-source customization tailored to an organization’s specific infrastructure and regulatory constraints.

At launch, the practice heavily integrates NVIDIA Nemotron open models and NVIDIA NIM microservices. By leveraging these open frameworks, Deloitte enables enterprises to build custom Agentic AI workflows and deploy digital workforces via platforms like Zora AI running natively on-premises or across hybrid cloud environments.

Also Read: Boomi Introduces Agent Control Plane to Solve the Enterprise AI Governance Crisis

Key technical capabilities delivered through the practice include:

Hybrid Model Architecture: Combines open and proprietary models dynamically to optimize performance, latency, and token economics across varying workload complexities.

Data Sovereignty & Local Fine-Tuning: Allows enterprises and governments to fine-tune open models using proprietary datasets while maintaining strict data residency and local legal compliance.

Sovereign AI Infrastructure: Helps organizations build self-contained AI stacks that run behind private firewalls, mitigating intellectual property exposure and third-party data leaks.

Forward Deployed Engineering: Embeds certified open-source engineers directly alongside client technical teams to build, fine-tune, and continuously govern custom agent harnesses.

Transforming the IT Consulting, System Integration, and AI Technology Industry

Deloitte’s dedicated commitment to open-source model engineering signals a major structural evolution across the broader IT Consulting, Systems Integration, and Enterprise AI Services market.

The End of “Single-Vendor” Hyperscaler AI Bundles
For the past three years, IT consultancies and system integrators drove enterprise AI adoption primarily by brokering closed API access to major public cloud foundation models.

Deloitte’s launch highlights the limits of this single-pipeline strategy. The enterprise IT market is entering a hybrid, open-first ecosystem era. System integrators are no longer evaluated solely on how quickly they plug an API into a web dashboard; they are now judged on their capacity to engineer, fine-tune, and host open models that give clients absolute control over inference transparency and token cost structures.

Establishing “Sovereign AI” as a Strategic Enterprise Requirement
Historically, sovereign AI maintaining full national or organizational control over data, compute, and algorithms was viewed as a niche requirement restricted to national defense agencies or heavily regulated European bodies.

By embedding open-model engineering into its core global delivery framework, Deloitte elevates data sovereignty and IP ownership into standard enterprise strategy. Global technology consultancies that fail to provide open-model, on-premises deployment options risk losing market share to agile integrators capable of securing sensitive corporate IP.

Broad Operational Impact on Enterprise Businesses

For enterprise C-suites navigating rising AI cloud expenditures and strict compliance requirements, adopting an open-model engineering framework delivers clear strategic and financial advantages:

Unlocking Predictable Margins Against AI Cost Inflation
Running continuous, high-volume agentic loops on third-party proprietary APIs can trigger volatile, unpredictable cloud compute bills. Deploying fine-tuned open models on optimized infrastructure allows businesses to cap token expenses and align AI operational costs directly with internal ROI targets.

Accelerating Safe Enterprise AI Adoption
Data security issues in areas like finance, medical, and high-tech manufacturing have caused many AI applications to be on hold due to fear of leaks. Completely transparent, publicly verifiable model structures help the CISO and the Chief Legal Officer to grant permission for the production stage of the AI agents, thereby transforming large amounts of unused corporate data into a major business performance boost.

The post Deloitte Launches Open Model Engineering Practice to Accelerate Enterprise Agentic AI appeared first on ITDigest.

Addressing this execution bottleneck, data activation and integration leader Boomi announced the launch of its Agent Control Plane alongside a suite of AI-native platform innovations.

Serving as a vendor- and model-neutral control layer, the Boomi Agent Control Plane sits directly between AI agents or applications—whether built on open-source frameworks or proprietary models—and enterprise systems of record. The architecture allows organizations to govern agent behavior, enforce security boundaries, and optimize compute costs without locking themselves into a single cloud ecosystem.

Also Read: Cognizant and CrowdStrike Unify IT and OT Security to Protect Critical Operations

Technical Performance: Model-Neutral Governance, MCP Integration, and Token Control

The primary technical breakthrough behind Boomi’s release is its ability to inspect, meter, and control agentic actions in real time while maintaining low-latency connectivity to underlying business systems. Rather than forcing enterprises to build custom connectors for every new AI model or tool, Boomi operationalizes governance through several core platform capabilities:

Boomi AI Gateway and Policy Enforcement: Utilizing the technology from Lunar.dev, the gateway leverages a combination of Model Context Protocol (MCP) gateway and Large Language Model (LLM) gateway functionalities as an enforcement point. It filters out AI traffic in real-time, imposes rate limits, blocks any non-sanctioned prompts, and enforces approval gates from humans for critical transactional requests.

Governed MCP Server Connectivity (Boomi Connect): The feature allows access to enterprise systems in the form of MCP tools available to employees. The workers are able to connect conversational tools such as Claude, ChatGPT, or Gemini to more than 1,000 built MCP servers, and Boomi authenticates, logs, and tracks all the requests using enterprise identity providers.

Hybrid and Localized Runtime: The hybrid solution is able to support organizations in running agents, tools, and small language models (SLMs) locally or in regions as part of their runtime environment. This ensures that sensitive corporate IP stays behind the firewall and complies with local data sovereignty regulations.

Transforming the Integration, Middleware, and Enterprise Software Industry

Boomi’s introduction of dedicated agentic control infrastructure signals a fundamental evolutionary shift across the broader Enterprise Integration Platform as a Service (iPaaS), Middleware, and API Management landscape.

The Obsolescence of Legacy API Gateways for Autonomous AI
For over two decades, traditional iPaaS and API management platforms were built for static, predictable application-to-application traffic. Legacy gateways focus on basic HTTP authentication and fixed rate-limiting.

Boomi’s announcement highlights the limits of traditional middleware when handling non-deterministic AI agents. Because autonomous agents generate unpredictable multi-step API calls and variable payload sizes, standard integration platforms cannot track token economics or detect malicious prompt injection. The middleware market is transitioning rapidly toward AI-native control planes capable of governing context, token consumption, and agent permissions across distributed multi-cloud ecosystems.

Standardizing “Model Neutrality” as a Core Enterprise Benchmark
Historically, cloud providers attempted to lock enterprise clients into proprietary AI ecosystems by bundling foundation models directly with hosting infrastructure.

By delivering a model-neutral control plane, Boomi elevates architectural flexibility to an industry baseline. Software vendors will increasingly be evaluated on how easily they allow enterprise buyers to swap underlying LLMs or specialized small language models (SLMs) without re-engineering core integration pipelines or security policies.

Broad Operational Impact on Enterprise Businesses

For enterprise organizations attempting to transition AI projects out of experimental pilot phases and into full production, deploying a governed agentic control plane yields direct financial and operational advantages:

Insulating Technology Budgets Against AI Cost Inflation
Deploying unmonitored software agents across multiple business units creates severe risk of API cost spikes. Implementing centralized metering, token budget caps, and dynamic traffic routing allows IT leaders to scale autonomous workflows while keeping monthly cloud infrastructure spend strictly predictable.

Protecting Data Integrity and Enabling Safe Employee Innovation
Concerns over data privacy frequently cause enterprise risk officers to restrict access to conversational AI tools. Providing a secure, authenticated gateway for tool usage allows employees to leverage conversational assistants safely. Organizations can grant agents access to live ERP and CRM data without risking unauthorized data exposure or regulatory non-compliance.

The post Boomi Introduces Agent Control Plane to Solve the Enterprise AI Governance Crisis appeared first on ITDigest.

Also Read: Bain & Company Partners with Anthropic to Drive Enterprise AI Transformations 

“We are building for a future where the enterprise itself becomes intelligent. Our expanded collaboration with Microsoft connects AI across the entire working environment – from models and agents to Microsoft 365 Copilot and the HUMAIN AI PC with Windows. The shift is from giving employees more AI tools to making intelligence available wherever work happens.” Reaffirming the focus on regional scale and governed transformation, Naim Yazbeck, President, Microsoft Middle East and Africa added: “The next wave of AI adoption will be defined by how deeply intelligence is embedded into the way organisations operate. Together with HUMAIN, we are helping to create a new AI frontier across the region, where people can work with greater insight, organisations can move faster, and AI can scale securely from experimentation to enterprise-wide impact.” Ultimately, this dual software-hardware deployment establishes a platform-native ecosystem designed to accelerate digital transformation and AI-driven productivity across global enterprises.

Read More: Microsoft and HUMAIN Expand Strategic Collaboration at LEAP 2026 with New Enterprise AI Offering and AI PC

The post Microsoft and HUMAIN Expand Enterprise AI Partnership with AI PC and Productivity Bundle appeared first on ITDigest.

Redwood Software coordinates the enterprise, from hybrid cloud to agentive AI: named a leader for the third consecutive year in the 2026 Gartner® Magic Quadrant for Service Automation and Coordination Platforms

Redwood Software, the leading orchestration platform for the autonomous enterprise, announced its recognition as a Leader in the 2026 Gartner® Magic Quadrant for Service Automation and Orchestration (SOAP) Platforms, along with first place in four of the five use cases and a tie for first place in the fifth use case, according to the report titled Critical Capabilities. In addition, Redwood launched RunMyJobs 2026.3, which brings native connectivity to AWS and its Model Context Protocol (MCP) server to the public, while also introducing new AI capabilities to accelerate autonomous operations.

Coordinate the enterprise, from hybrid cloud to agentive AI

Companies with AI goals face the challenge of moving beyond the experimental phase and into operational AI. RunMyJobs 2026.3 helps bridge the gap between AI reasoning and business action by unifying execution across hybrid systems and removing infrastructure limitations that hinder innovation in traditional workload automation tools. The latest version offers:

MCP Server and Native AWS Connectivity: Redwood’s MCP server, validated with Microsoft Copilot, SAP Joule, and Claude Code, provides AI models with controlled access to over 50 tools across nine AWS global regions with full auditability, enabling the instant transformation of decades of business logic into agents. Native integration with AWS (S3, EventBridge, Glue) allows for real-time orchestration across the entire hybrid environment without requiring system redesign.

Bidirectional governance of agent AI and Agent Studio: Support for MCP and Agent2Agent (A2A) protocols enables AI agents to trigger workflows, and teams to create agents that enhance orchestrations under the same governance model as the rest of the business process chain. Agent Studio integrates Large Language Model (LLM) reasoning as native task types within existing workflows.

Workflow Builder and Operations Agent: Workflow Builder generates auditable workflows using descriptions or documentation written in plain English. Operations Agent detects failures and risks related to service level agreements (SLAs) in real time, providing operators with detailed contextual information so they can respond more quickly and autonomously.

“AI agents can analyze a problem, but they can’t solve it unless they’re connected to the systems that run the business,” said Charles Crouchman, product director at Redwood Software. “We believe our recognition as a leader and the availability of our MCP server and our connectivity with AWS confirm that the market is evolving toward regulated, agent-based orchestration that operates within the existing enterprise trust model.”

Also Read: Nasuni Acquires DryvIQ to Bring AI-Powered Intelligence and Governance to Enterprise Unstructured Data 

Gartner Recognition

Gartner’s Magic Quadrant for SOAP evaluates vendors based on their “ability to execute” and “completeness of vision.” Redwood Software has been positioned in the top spot for “completeness of vision” for the third consecutive year. Redwood attributes this position to its 2026 intelligent automation enhancements, which include native support for the MCP and A2A protocols, the new Redwood RangerAI suite of assistants, and Redwood Insights Premium.

The “Critical Capabilities” report offers a more detailed view of suppliers’ product and service offerings, expanding on the Magic Quadrant analysis.  Redwood attributes this positioning to its commitment to customer success and driving efficient business transformation.

Source: PRNewswire

The post Redwood Software Connects Hybrid Cloud with Agentive AI appeared first on ITDigest.

In Hardware and Network news this week…

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

In Cybersecurity news this week…

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

In Business Technology news this week…

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

In Artificial Intelligence news this week…

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

In Big Data news this week…

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

In FinTech news this week…

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

In Enterprise Software news this week…

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

In IT & DevOps news this week…

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

Article of the Week

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

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

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