Also Read: Orca Security Expands Cloud Security Reach with TD SYNNEX Partnership

The partnership also enables organizations to run GitLab’s AI Gateway on Google Cloud infrastructure, eliminating the need for separate AI provisioning and allowing customers to align AI usage with existing Google Cloud commitments. “As AI agents become central to how teams build software, they need strong models and a governed environment to be effective in the enterprise,” the announcement noted. The collaboration also provides flexibility through Vertex AI’s Model Garden and GitLab’s Bring Your Own Model option, allowing enterprises to balance performance, cost, and regulatory needs while scaling AI-powered software development securely.

Read More: GitLab Collaborates with Google Cloud to Bring Agentic DevSecOps to Enterprise Teams Using Vertex AI

The post GitLab and Google Cloud Partner to Deliver Agentic DevSecOps with Vertex AI Integration appeared first on ITDigest.

Also Read: Onix Expands Google Cloud Partnership to Accelerate Enterprise AI and Cloud Transformation

It will do this by providing better visibility and risk management. “Our agreement with TD SYNNEX represents a critical milestone in scaling the Orca Security ecosystem,” said Gil Geron, CEO of Orca Security. “By aligning with a global leader in distribution, we are equipping our partners to deliver our AI-powered cloud security platform at scale…” Cheryl Day added, “By integrating Orca Security into our North American partner ecosystem, we are enabling our customers to offer comprehensive visibility and prioritized risk management…”

Read More: Orca Security Accelerates AI-Driven Cloud Security Growth with TD SYNNEX Partnership

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In Hardware and Network news this week…

Keysight and Sateliot Win ESA and GSMA Foundry Challenge, Advancing 6G Innovation
Keysight Technologies and Sateliot have been recognized by the European Space Agency and GSMA for their contributions to next-generation network innovation. Their work focuses on integrating satellite and terrestrial networks to support emerging 6G use cases. This milestone signals growing momentum toward hybrid connectivity models that will define future communication ecosystems.

In Business Technology news this week…

Kyndryl Launches AI-Powered Digital Twin to Transform Workplace Operations
Kyndryl has introduced an AI-powered digital twin solution designed to optimize workplace operations. By creating virtual replicas of physical environments, the platform enables organizations to simulate, analyze, and improve workflows in real time. This innovation reflects the growing adoption of digital twins as a strategic tool for operational efficiency and decision-making.

In Cloud Computing & Edge AI news this week…

Adtran Unveils Ensemble Cloudlet Multinode to Simplify High-Availability Edge AI Deployments
Adtran has launched its Ensemble Cloudlet Multinode solution to streamline edge AI deployments. The platform is designed to ensure high availability and scalability, enabling enterprises to deploy AI workloads closer to the source of data. As edge computing gains traction, such solutions are critical for reducing latency and supporting real-time applications.

In Information and Communications news this week…

Genpact Partners with Parallel Web Systems to Enhance AI-Driven Research and Workflow Efficiency
Genpact has partnered with Parallel Web Systems to improve enterprise research and workflow processes through AI. The collaboration focuses on automating knowledge discovery and enhancing productivity across business functions. This partnership highlights the increasing role of AI in transforming enterprise workflows.

In Data Science & Analytics news this week…

Anomalo Introduces Autonomous Self-Driving Data System to Redefine Enterprise Data Operations
Anomalo has launched a self-driving data system designed to automate data quality and monitoring processes. By leveraging AI, the platform identifies anomalies, ensures data reliability, and reduces manual oversight. This development underscores the importance of autonomous data operations in enabling scalable and trustworthy AI systems.

In FinTech news this week…

Visa Launches Intelligent Commerce Connect to Power AI-Driven Payments Ecosystem
Visa has introduced Intelligent Commerce Connect, a platform aimed at enabling AI-driven payment experiences. The solution supports advanced analytics, automation, and seamless integration across commerce ecosystems. This reflects the continued evolution of digital payments toward intelligent, personalized financial services.

In HealthTech news this week…

Clinical AI Launches MAIA Prescreening on Google Cloud Marketplace to Accelerate Clinical Trials
Clinical AI has introduced its MAIA prescreening solution on the Google Cloud Marketplace. The platform leverages AI to streamline patient identification and recruitment for clinical trials, reducing time and improving accuracy. This innovation highlights the role of AI in accelerating healthcare research and improving outcomes.

In Cybersecurity news this week…

Dashlane and KnowBe4 Integrate to Turn Security Awareness into Real-Time Proactive Defense
Dashlane and KnowBe4 have integrated their platforms to create a proactive cybersecurity defense model. The collaboration combines user education with real-time threat detection, enabling organizations to strengthen their human layer of security. As cyber threats evolve, such integrated approaches are becoming essential.

Article of the Week

Information Security in 2026: How Enterprises Protect Data, Systems, and Digital Trust in an Evolving Threat Landscape

Information security is undergoing a significant transformation as enterprises face increasingly complex and AI-driven threats. Organizations are moving toward integrated security strategies that combine automation, intelligence, and continuous monitoring. Protecting digital trust now requires a holistic approach that spans data, systems, and user behavior. As the threat landscape evolves, enterprises that prioritize resilience and proactive defense will be better equipped to safeguard their operations and maintain customer confidence.

The post ITDigest’s Weekly News Roundup Featuring Keysight Technologies, Sateliot, Kyndryl, Adtran, Genpact, and KnowBe4 appeared first on ITDigest.

The Ensemble Cloudlet multinode platform changes clustered servers into a single, high-performance edge cloud environment. By allowing multiple nodes to function as a single system, the solution guarantees availability, scalability, and workload resilience at an enhanced level. Besides, it enables automatic workload transfer, zero-touch provisioning, and centralized orchestration, thus granting organizations the ability to execute operations without interruption even when failures occur in nodes.

The platform is based on a modular compute architecture, with control and data planes separated to enhance security and reliability. In addition, it supports distributed workloads in enterprise sites, industrial environments, and service provider networks. Besides, it offers shared storage integration across nodes, thereby doing away with additional hardware, and ensuring steady performance and high availability.

The launch comes at a time when demand for edge AI infrastructure is rapidly growing. As organizations increasingly deploy AI applications that require low latency and real-time processing—such as computer vision, IoT analytics, and autonomous systems—traditional centralized cloud models are proving insufficient. Solutions like Ensemble Cloudlet multinode address this gap by bringing compute power closer to where data is generated.

Also Read: Keysight and Sateliot Win ESA and GSMA Foundry Challenge, Advancing 6G Innovation

Implications for the IT Industry

Adtran’s latest product launch reflects the general trend towards more decentralized, edge-native architectures in IT systems. Although cloud computing has been the primary driver of enterprise IT solutions for more than ten years, the current popularity of artificial intelligence and data-heavy applications is pushing enterprises to implement hybrid models that incorporate both cloud computing and edge infrastructure.

From the perspective of IT directors, implementing hybrid IT models poses certain requirements related to the need to orchestrate multiple edge nodes, make the system highly available and scalable, and enable remote deployment and management of IT infrastructure using cloud-based tools.

On the one hand, the need for high availability can be explained by the fact that most modern applications require non-stop operation, which makes it necessary to ensure the uninterrupted functioning of the IT infrastructure. For example, manufacturing operations, telemedicine, telecommunications services, and smart city projects depend on continuous data processing and require high availability of edge infrastructure.

On the other hand, the transition to multinode edge platforms indicates closer convergence between IT and telecommunications. In addition, as network architecture evolves to become capable of supporting 5G, edge computing becomes an important tool for achieving real-time performance and low latency.

Business Impact and Strategic Value

To business, the launch of Ensemble Cloudlet multinode presents an opportunity for efficient and economic implementation of AI at the edge level. In this manner, the consolidation of workload through clustering will result in fewer hardware demands, optimal resource use, and minimized costs of ownership.

On the other hand, the automations on offer will ensure minimal intervention during the process of deployment and operation, hence promoting efficiency without necessarily requiring technical knowledge. This will allow the firm to quickly roll out AI-enabled services.

Finally, performing AI-based computing in a local manner will not only guarantee high speed but will also enhance the decision-making process. Industries such as retail, logistics, and energy will benefit from increased efficiency, predictive maintenance, and real-time data analysis among others.

Advancing the Future of Edge AI

Adtran‘s Ensemble Cloudlet multinode highlights a major enterprise technology trend: the move to distributed, smart infrastructures that can run AI in real-time. As more businesses adopt edge computing, systems that offer scalability, automation, and resilience will be in high demand.

This is good news for both the IT space and the enterprises as it is a great step in the right direction to allow AI-based innovations to be made at scale – placing computing near data, making it more dependable, and opening up a whole new world of digital transformation opportunities in a very connected globe.

The post Adtran Unveils Ensemble Cloudlet Multinode to Simplify High-Availability Edge AI Deployments appeared first on ITDigest.

The decision reflects a broader push toward agentic, AI-powered observability. By removing financial and operational barriers, Edge Delta aims to simplify adoption of its AI Teammates—autonomous agents designed to monitor, analyze, and act on system data in real time. These agents go beyond traditional observability tools by proactively identifying anomalies, correlating signals, and initiating investigations without human intervention.

Unlike conventional pipeline tools that require extensive engineering effort and primarily focus on data movement, Edge Delta’s offering combines data routing with intelligent automation. Its pipelines act as a preprocessing layer, refining logs, metrics, and traces before they are analyzed, ensuring higher-quality insights and reduced noise.

Also Read: Arango Unveils Contextual Data Platform 4.0 to Accelerate Enterprise AI Deployment

“The telemetry pipeline market is crowded, manual, and largely unintelligent. Cribl, OpenTelemetry, Bindplane, Databahn, Fluent, and Vector require significant engineering effort to deploy and maintain, yet at the end of the day still deliver little more than moving data. Today, Edge Delta Telemetry Pipelines is now free at any scale. No throughput limits. No per-GB fees. Any organization can route, transform, and control unlimited telemetry volume at no cost. This is a deliberate strategic decision, not a promotional one. The demand signal around Edge Delta AI Teammates has been clear: enterprises are ready for observability that thinks and acts, not just collects and displays. Making pipelines free removes the last barrier to experiencing that firsthand. Operations teams have watched AI transform developer workflows for years now. Edge Delta AI Teammates bring that same capability to the people running production infrastructure. The path is now frictionless.” — Ozan Unlu, Founder & CEO, Edge Delta

This kind of framework allows organizations to deal with gigabytes or even petabytes of telemetry data at zero costs. In addition, this trend conforms to the current industry trend of automating the management of operational processes using AI tools that will minimize human intervention in incident resolution.

The combination of Edge Delta’s free data pipeline services and its innovative AI-powered observability layer will transform the way engineering teams operate in complex and highly dynamic environments.

The post Edge Delta Eliminates Data Throughput Costs to Accelerate AI-Driven Observability Adoption appeared first on ITDigest.

Also Read: EXL and Google Cloud Partner to Accelerate Enterprise AI Transformation

“Arrow amplifies the reach and impact of our product portfolio through its extensive channel partner relationships and strong engineering, sales, and marketing capabilities,” said PJ Joseph, Executive Vice President, Global Sales and Services at Akamai. “This alliance accelerates time to market, expands solution opportunities, and enables customers to bundle Akamai into broader cloud, security, and managed service offerings.” The partnership reflects a growing emphasis on integrated, scalable solutions to support modern digital operations.

Read More: Akamai Teams with Arrow Electronics to Power and Protect Digital Experiences at Scale

The post Akamai and Arrow Electronics Partner to Scale Secure Digital Experiences appeared first on ITDigest.

Also Read: EXL and Google Cloud Partner to Accelerate Enterprise AI Transformation

The collaboration focuses on three pillars: joint go-to-market and vertical investment to expand Onix’s Google Cloud business, unified platform capabilities for faster AI adoption, and an outcome-based enterprise delivery model emphasizing strict business KPIs and measurable ROI. Victor Morales, VP of GSI and Consulting Partnerships at Google Cloud, noted, “By utilizing Google Cloud’s leading gen AI capabilities, Onix can help customers unlock new insights that improve operations and productivity,” supporting a scalable, AI-driven enterprise strategy.

Read More: Onix Deepens Strategic Collaboration with Google Cloud to Help Accelerate Enterprise-Scale Cloud, Data, and Agentic AI Transformation

The post Onix Expands Google Cloud Partnership to Accelerate Enterprise AI and Cloud Transformation appeared first on ITDigest.

The solution adds new features, like Preventive Risk Insights. These insights spot potential failures before they happen. It also has an Advanced Context Map. This map shows real-time insights into infrastructure dependencies and system health. NeuBird Desktop, a command-line interface tool, allows engineers to directly interact with the AI agent, while FalconClaw, a newly launched skills hub, enables teams to operationalize institutional knowledge into reusable workflows.

“AI adoption in enterprise operations has accelerated, but existing AI solutions lack the operational context and domain expertise required to deliver reliable outcomes.” said Gou Rao, co-founder and CEO of NeuBird AI.

Also Read: SentinelOne and Google Cloud Deepen Alliance to Advance AI-Native Cybersecurity

The launch addresses persistent challenges in IT operations, where fragmented tools and alert overload hinder efficiency. According to NeuBird’s 2026 State of Production Reliability and AI Adoption Report, 83% of organizations rely on four or more tools during incidents, and engineering teams spend nearly 40% of their time managing disruptions rather than building products. Additionally, 78% of organizations reported incidents without alerts, while 44% experienced outages tied to ignored signals.

NeuBird’s agent is designed to unify these processes by correlating telemetry data, mapping dependencies, and automating root cause analysis. It enables teams to reduce alert noise by over 78%, resolve incidents in minutes, and reclaim more than 200 engineering hours per month.

Rao added, “Production issues often go undetected until they impact services. Platform, SRE and DevOps teams need the ability to anticipate problems before they happen, across organizations of all sizes. NeuBird AI enables teams to see around corners, identify risks ahead of impact, prevent incidents before they affect services and resolve incidents in minutes. We deliver an AI teammate that production teams can actually trust. This is the future of enterprise production operations.”

With the addition of FalconClaw, organizations can further codify operational expertise into scalable, AI-driven processes, reinforcing a transition toward predictive, self-optimizing production environments.

The post NeuBird AI Expands into Autonomous Operations with Predictive Production Agent appeared first on ITDigest.

Also Read: ScaleOps Secures $130M to Advance Autonomous Cloud and AI Infrastructure Management 

“EXL’s performance as a managed partner reflects the strength of pairing deep domain expertise with strong execution in data, analytics, AI and cloud transformation,” said Erez Wohl, managing director, System Integration Partnerships, Google Cloud. “EXL has demonstrated capabilities across data, AI and customer experience. We look forward to deepening our collaboration as a global strategic services partner.” EXL has already deployed AI-driven solutions for enterprise clients, improving efficiency, automating workflows, and delivering cost savings. “This collaboration enables us to scale innovation faster, deepen our Google Cloud capabilities and deliver measurable business impact for our clients worldwide,” said Vishal Chhibbar, executive vice president, chief growth officer and head of international growth markets at EXL.

Read More: EXL announces a strategic services collaboration with Google Cloud

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