With the increase in volume of corporate data, the information technology department has to incur more costs due to having old backup data, unstructured data, and redundant, obsolete, and trivial (ROT) data stored in primary storage which is performance-oriented. Veeam Data Cloud Vault Archive brings closure to the cycle of backups through an automated policy-based destination to store inactive data in cheap cloud storage.

“Data powers organizations, and trusted AI requires trusted data,” said Rehan Jalil, President of Products and Technology at Veeam. “That means data must be protected, isolated, recoverable and stored in the right location — even when it is no longer actively used. Long-term retention of that data has become a cyber resilience, compliance and cost challenge all at once. Veeam Data Cloud Vault Archive gives customers a secure, immutable, and cost-effective way to tier aging backups, cold and ROT data off premium storage while keeping a trusted copy on storage better fit for long-term retention.”

Also Read: Edge Delta Eliminates Data Throughput Costs to Accelerate AI-Driven Observability Adoption

Accelerating Cost Optimization and Replacing Legacy Tape

Veeam Data Cloud Vault Archive addresses critical operational bottlenecks associated with legacy tape systems and high-cost cloud storage tiers:

Retiring ROT Data Efficiently: Automated policies within Veeam Data Platform v13.1 allow organizations to offload cold backups and large unstructured data sets including Network-Attached Storage (NAS) archives—from expensive primary tiers to low-cost archival storage.

A Modern Alternative to Physical Tape: Eliminates the operational friction, transportation risks, offsite logistics delays, and physical handling overhead inherent to tape archives.

Immutable Cyber Resilience: Keeps archived backup data encrypted, logically air-gapped, and immutable to prevent unauthorized modification or deletion by ransomware threat actors.

Integrated Clean Restores: Working alongside Veeam Data Platform v13.1, the system scans data before long-term archiving to verify clean, malware-free restore points for future recovery.

Immediate Enterprise Availability

Veeam Data Cloud Vault Archive is generally available today alongside the release of Veeam Data Platform v13.1 through Veeam’s global network of authorized channel partners, resellers, distributors, and cloud marketplaces.

IT leaders, infrastructure architects, and cloud security executives can evaluate platform specifications or access deployment frameworks by visiting the official Veeam platform portal.

The post Veeam Debuts Data Cloud Vault Archive to Cut Cold Storage Costs appeared first on ITDigest.

Also Read: Tech Mahindra and Cisco Partner to Deliver AI-Driven Security Service Edge Solutions 

Contextualizing the strategic importance of building technological autonomy directly into the underlying cloud architecture, Christian Müller, CEO of Schwarz Digits, explains: “Technological independence begins with infrastructure. Through this partnership, we are taking network security to a new level: we are evolving existing security architectures and focusing on high-performance identity verification. For our customers, this means even stronger protection against cyberattacks.” Reinforcing the vendor’s long-term enterprise commitment to data sovereignty across the region, Misha Kuperman, Chief Reliability Officer at Zscaler, added: “In an era of AI-driven cyber threats, a modern Zero Trust SASE solution is the only effective way to protect sensitive enterprise data. Our partnership with Schwarz Digits is a concrete demonstration of our long-term commitment to Europe: Together, we help our customers eliminate their attack surface and prevent the lateral movement of threats, while still maintaining compliance with European regulations through EU data residency. This enables the highest level of security while aligning with European digital sovereignty regulations.”

Read More: Zscaler and Schwarz Digits Partner to Deliver Sovereign Cloud Security Platform for Europe

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The recently launched set includes Grafana Assistant Investigations, Grafana Assistant Workspace, Grafana Assistant Automations, the Grafana Cloud Model Context Protocol (MCP) Server, gcx, and Grafana Agent Observability. As a result, these technologies help transform the observability approach to a lifecycle one by implementing it at different stages, including after the deployment of the product.

“We used to treat observability as something you bolt on just before code reaches production,” said Mat Ryer, Senior Director of AI, Grafana Labs. “That’s changing. Now, Grafana Assistant can review your plans before you’ve written a line of code, add the instrumentation for you once you have, watch features as they land in production, and stay with you as you scale while dealing with the inevitable incidents that follow.”

Also Read: Atos Launches Sovereign Cloud Platform Engineered in the European Union

Bridging the Observability Gap Across the Software Lifecycle

Traditional observability has historically operated after code reaches production environments—requiring engineers to manually instrument services, construct dashboards, and monitor alerts. However, as AI coding tools dramatically increase deployment velocity, operational practices must evolve to prevent production bottlenecks.

According to Grafana Labs‘ 2026 Observability Survey, 92% of practitioners report seeing real value in AI detecting system anomalies, yet only 57% are currently implementing observability for their internal AI systems. Grafana’s new capabilities address this adoption gap by automating critical operational workflows:

Plan and Code Instrumentation: Using gcx—Grafana’s agentic CLI—and the Grafana Cloud MCP server, engineers can manage dashboards, data sources, and alert rules as code. The Assistant can automatically review architectural plans, open pull requests with necessary instrumentation, and verify telemetry arrival.

Automated Investigation and Remediation: When production anomalies occur, Grafana Assistant Investigations automatically generates diagnostic hypotheses, analyzes underlying telemetry data, and presents validated conclusions to engineers.

AI System Observability: Through Grafana Agent Observability, teams can monitor OpenTelemetry-native metrics across custom AI applications, tracking key performance signals such as latency, token expenditure, conversation histories, and model behavior.

“AI should allow you to move at 10x velocity, not produce incidents at 10x the rate,” Ryer said. “That’s why we’re releasing all these AI capabilities in a single week. Engineers shouldn’t have to wait for their tools to catch up to how quickly they’re already moving.”

The post Grafana Labs Launches Six AI Tools to Power Agentic Operations appeared first on ITDigest.

Also Read: GMI Cloud to Expand AI Compute Capacity Through NVIDIA Collaboration

Experian’s Human to Agent Binding is foundational to that trust, creating a persistent connection between verified people and the AI agents acting on their behalf. Fastly extends those trust decisions to the edge, helping organizations authorize transactions in milliseconds while creating secure, seamless experiences for consumers and businesses alike.” Reaffirming the commercial potential of shifting from defensive security to revenue-generating authorization, Jeff Alpen, Vice President of Fastly’s Partner Ecosystem, added: “As AI agents become an increasingly important channel for digital commerce, businesses need a way to distinguish trusted, authorized agents from everything else. Instead of treating every autonomous agent as something to block, Fastly enables businesses to verify who is behind the request, attach commercial value, and authorize transactions in real time. We help organizations turn trusted AI agents into a competitive advantage without requiring them to rearchitect their existing infrastructure.”

Read More: Fastly Joins Experian Agent Trust Ecosystem to Advance Trusted AI Commerce

The post Fastly Partners with Experian to Drive AI Agent Verification at the Network Edge appeared first on ITDigest.

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

Underscoring the need to secure modern distributed architectures and burgeoning agentic systems, Raj Chopra, SVP & Chief Product Officer, Cisco Security Business Group, added: “Enterprises don’t need another tool to stitch into an already complex security stack. They need a simpler way to secure how work actually happens across users, devices, applications, clouds, and increasingly AI agents. Cisco Secure Access brings zero trust, identity context, and AI-powered protection into one cloud-delivered platform, helping teams enforce policy consistently while giving users seamless access from anywhere. Together with Tech Mahindra’s global managed services and integration expertise, we can help organizations modernize security operations, accelerate secure cloud and AI adoption, and move with confidence in the agentic era.” The strategic partnership expands Tech Mahindra’s managed security footprint while empowering organizations to secure complex data flows across multi-cloud environments reliably.

Read More: Tech Mahindra and Cisco Partner to Bring AI-Driven Security Service Edge to Global Enterprises

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It combines enterprise-grade cloud computing with all necessary sovereign controls for data governance, operational independence, cyber resilience, and AI innovation. With the help of the solution, organizations will be able to control data, applications, and digital processes, speeding up transformation and increasing overall operational stability.

This development helps in implementing the general strategy of the Atos Group, which includes embedding mission-critical capabilities and security by design into its global portfolio of technologies.

Mitigating Risk in a Digital Ecosystem with a Lot of Uncertainty

We are becoming so reliant on digital ecosystems that the tightening of regulatory structures together with an increase in supply chain uncertainty have caused a surge of interest in sovereign IT solutions. The Gartner report predicts that over 50% of multinational companies will be implementing digital sovereignty strategies by the end of 2029, which is a big contrast with less than 10% of companies currently doing it.

To meet these trends, Atos Sovereign Cloud integrates Atos’s proven strengths in cloud transformation cybersecurity AI infrastructure, and managed operations into one sovereign-by-design offering.

Also Read: InMotion Hosting Launches Fully Managed InMotion Cloud Solution

Architectural Principles and Digital Autonomy

Engineered around core sovereignty requirements, the platform leverages open-source components to ensure maximum flexibility and application portability. Clients can deploy, operate, and contract the environment entirely within the EU or across designated Atos global facilities to meet localized regulatory standards.

Through the Atos Amplify sovereign advisory framework, clients can evaluate their regulatory exposure to balance sovereign risk, operational complexity, and speed of innovation.

“Across Europe, governments and highly regulated organizations are looking for trusted cloud environments that allow them to modernize critical applications without compromising on control, compliance or operational resilience,” said Punit Sehgal, head of BNN (BeLux, Netherlands & Nordics), Atos. “With Atos Sovereign Cloud, designed and engineered in the EU, Atos brings together its cloud, cybersecurity, AI infrastructure and managed operations expertise to provide a sovereign-by-design platform that helps European organizations retain control over their data, operations and IT supply chain, while continuing to innovate with confidence.”

Key Capabilities and Business Outcomes

Better Regulations and Compliance: Limits the risk of non-compliance with regulations in place and the changing rules about how personal data is handled internationally and the resulting consequences when there are changes.

Robust Cybersecurity: It safeguards confidential data and vital system from cyber threats through the use of latest security mechanisms.

Innovation Ecosystem with Controlled Features: A transparent and vetted partner solution integration and internal repository marketplace to reduce risk in innovation activities.

Modern AI Integration: Offers a secure foundation to deploy AI workloads and modern cloud management models without sacrificing operational autonomy.

The post Atos Launches Sovereign Cloud Platform Engineered in the European Union appeared first on ITDigest.

In Hardware and Network news this week…

Arista Networks Unveils AI-Driven Zero Trust Security for VeloCloud SD-WAN
Arista Networks has introduced AI-driven Zero Trust security capabilities for VeloCloud SD-WAN environments, helping organizations strengthen protection across distributed networks. The solution is designed to improve threat detection, policy enforcement, and security visibility as enterprises increasingly rely on hybrid work and cloud-connected infrastructure. The development highlights the growing convergence of networking, AI, and cybersecurity.

In Artificial Intelligence news this week…

Databricks and Microsoft Expand Strategic Partnership to Bring Business Context to Enterprise AI
Databricks and Microsoft are expanding their strategic partnership to help enterprises bring greater business context to AI applications. The collaboration aims to connect organizational data, intelligence, and workflows to improve the accuracy and relevance of enterprise AI systems. As businesses move beyond experimentation, contextual AI is becoming critical to delivering more valuable and reliable outcomes.

In Cloud Computing & Mobility news this week…

GMI Cloud to Expand AI Compute Capacity Through NVIDIA Collaboration
GMI Cloud is collaborating with NVIDIA to expand its AI computing capacity and support the growing demand for advanced workloads. The partnership will help increase access to high-performance infrastructure for organizations developing and deploying AI applications. The move reflects the accelerating need for scalable compute resources as generative and agentic AI adoption grows.

In Enterprise AI news this week…

LTM and Glean Partner to Drive Enterprise AI Adoption with Connected Knowledge
LTM and Glean have partnered to help organizations accelerate enterprise AI adoption through connected knowledge and intelligent search capabilities. The collaboration aims to make business information more accessible and actionable across enterprise systems, enabling employees and AI agents to work with greater context. This reflects the increasing importance of unified knowledge environments in the AI era.

In Quantum Computing news this week…

IBM to Acquire HRL Laboratories to Accelerate Next-Gen Quantum Innovation
IBM has announced plans to acquire HRL Laboratories to strengthen its quantum computing research and innovation capabilities. The acquisition is expected to expand IBM’s expertise in advanced technologies and support the development of next-generation quantum systems. The move underscores the growing competition among technology companies to accelerate practical quantum computing breakthroughs.

In FinTech news this week…

Genpact Introduces Agentic AI Banking Analyst Suite for Regulated Operations
Genpact has introduced an agentic AI banking analyst suite designed to support regulated financial operations. The solution helps automate analysis, improve operational efficiency, and assist financial institutions with complex workflows while maintaining compliance requirements. As banks adopt AI, the ability to combine automation with governance is becoming increasingly important.

In HealthTech news this week…

Revvity Launches Signals for Startups to Empower Early-Stage Biotechs
Revvity has launched Signals for Startups, a platform designed to support early-stage biotechnology companies with digital tools and scientific workflows. The solution aims to help emerging biotechs improve collaboration, manage research data, and accelerate innovation. The initiative highlights the growing role of digital platforms in supporting the next generation of life sciences companies.

In IT & DevOps news this week…

NinjaOne and ServiceNow Partner to Unify IT Operations and Modernize the Service Desk
NinjaOne and ServiceNow have partnered to help organizations unify IT operations and modernize service desk experiences. The collaboration aims to connect endpoint management, IT service workflows, and automation to improve visibility and operational efficiency. As IT environments become increasingly complex, integrated platforms are helping enterprises streamline support and improve service delivery.

Article of the Week

Data Privacy Regulations and Compliance Guide: How Enterprises Can Navigate Global Privacy Laws

As data privacy regulations continue to evolve across jurisdictions, enterprises must take a proactive approach to compliance and information governance. Organizations need clear data management policies, strong security controls, transparent consent practices, and continuous monitoring to meet regulatory obligations. A comprehensive privacy strategy helps businesses reduce legal and operational risk while building customer trust and creating a stronger foundation for responsible digital transformation.

The post ITDigest’s Weekly News Roundup Featuring Arista Networks, Databricks, Microsoft, GMI Cloud, NVIDIA, and ServiceNow appeared first on ITDigest.

Also Read: QumulusAI Joins NVIDIA Partner Network to Accelerate Distributed AI Cloud Infrastructure

Positioned among the earliest cloud service providers to adopt this selective compute partnership framework, GMI Cloud is deliberately focusing its resources on a limited number of deeply integrated, high-impact enterprise alliances. By combining $500 million in dedicated capital deployment, major commercial traction, and NVIDIA’s advanced GPU technologies, the company consolidates a robust operational foundation designed to transition complex artificial intelligence systems from experimental sandbox models into full-scale, production-ready enterprise deployments. This strategic expansion reinforces GMI Cloud’s trajectory as a specialized provider of Model-as-a-Service solutions, dedicated API endpoints, and scalable cloud compute infrastructure tailored to the rigorous demands of next-generation AI developers and institutional enterprise clients.

Read More: GMI Cloud Announces Strategic Compute Collaboration With NVIDIA

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This release tackles a trend in how all software is written; albeit AI has Quite a bit shortened time-to-write and find issues, remediation cycles have not kept pace. Outdated security tools overwhelm engineering teams with business-irrelevant, false-positive results, creating risk for the organization due to existing un-patched exploits. 75% of security practitioners said shadow AI will eclipse shadow IT as a business risk, but few companies have processes in place to inventory or control AI agents.

“While the attack surface has expanded, the real crisis is no longer just discovering vulnerabilities. It is the speed at which organizations can respond to them. Modern AI systems can surface vulnerabilities far faster than security teams can triage, validate, and patch. This creates an operational bottleneck where organizations are flooded with findings but lack the capacity to remediate them, leaving them exposed despite having ‘visibility.'”

Also Read: Orca Security Expands AI Platform with Claude Compliance Integration

Unifying Application, API, and Agent Security on One Platform

Built on top of the Harness AI Software Delivery Platform, the AppSec Alliance provides system integrators, VARs, and MSPs with a complete security stack. With the help of this offering, partners can integrate, deliver, and manage the following functionalities, thus improving risk management across four key technical areas:

Shift-Left SAST & SCA: Provides AI-enabled SAST and SCA capabilities straight in CI/CD pipelines. Using reachability analysis and deduplication, this solution helps users to eliminate false positives and to prioritize high-risk and reachable risks.

Supply Chain Protection for Software & AI: Automatically creates Software Bills of Material (SBOMs) and AI Bills of Materials (AIBOMs). At the same time, it performs artifact provenance and attestation, which is needed to detect zero-day vulnerabilities fast.

Web Application & API Protection (WAAP): Integrates WAF, API discovery, bot protection, and runtime attack prevention capabilities in the native API control plane, which is tailored for the needs of microservices architecture.

AI & Autonomous Agent Security: Offers visibility into all active AI endpoints and agents, performs adversarial model testing, implements runtime firewall policies and collects session telemetry using Harness AgentTrace.

“The Harness AppSec Alliance closes that gap. We’re bringing partners application security technology, built into one platform, so they can walk into an existing account and pick up spend they were never able to compete for before.”

Solving Core Channel and Customer Bottlenecks

By integrating runtime protection, vulnerability prioritization, and automated patching into a single architecture, the AppSec Alliance resolves common operational gaps that legacy security stacks miss:

Closing Runtime Gaps: Traditional web application firewalls often miss multi-step, API-targeted agentic attack chains that unfold over time.

Eliminating Signal Overload: AI-driven triage filters out noise, replacing unmanageable alert volumes with actionable remediation paths.

Accelerating Zero-Day Audits: Replaces manual, multi-month open-source exposure audits with instantaneous cross-estate dependency mapping.

Compressing Patch Windows: Connects vulnerability identification directly to automated developer workflows, ensuring fixes are deployed before exploit windows open.

The Harness AppSec Alliance program is available immediately to qualified enterprise partners worldwide. Managed service providers, technology resellers, and security integrators can evaluate platform documentation, join the ecosystem, or request an operational demonstration by visiting the official Harness partner portal.

The post Harness Launches AppSec Alliance to Secure Application, API, and Agent Workflows appeared first on ITDigest.

This is indicative of a change in approach by companies towards the development of products, where humans working as engineers, enterprise employees, and autonomous AI systems work together within a common software space. Based on the results published in the State of AI Security Report of 2026 by Orca Security, 56% of companies surveyed have deployed their AI agents in the live production environment.

“The future of software development isn’t just human. It’s human and AI working together,” said Gil Geron, CEO and co-founder of Orca Security. “As AI becomes another builder inside the enterprise, organizations need security that understands the complete picture, not isolated tools for every new technology. Orca gives security teams the context to understand risk across cloud, applications and AI in a single platform, helping organizations securely embrace the next generation of builders.”

Also Read: JumpCloud Launches Agentic IAM on Google Cloud to Govern Autonomous AI Identities

Contextual Risk Correlation Across Enterprise Cloud Workloads

Unlike standalone security tools that monitor AI tools in isolation, Orca Security correlates Claude Enterprise activity directly with broader cloud native environments. Powered by Orca’s patented agentless platform, the integration combines real-time AI telemetry with identity, application, and runtime context. This unified approach enables security administrators to isolate high-priority exposures and accelerate incident remediation.

The integration provides enterprise IT and security leads with granular operational capabilities:

Comprehensive Claude Enterprise Inventory: Automatically catalogs users, groups, roles, permissions, projects, and security configurations across connected Claude environments.

Context-Aware Risk Identification: Flags potential security vulnerabilities and compliance misconfigurations, including excessive user privileges, unmanaged shadow identities outside SSO/SCIM frameworks, and insecure retention settings.

Unified Governance Layer: Merges AI audit logging directly into existing cloud security workflows, eliminating the need to maintain separate security platforms.

Frictionless Setup and Data Privacy Architecture

Designed for rapid deployment, the integration operates via read-only Compliance API keys within Anthropic-hosted environments. The connection requires minimal configuration and maintains strict privacy boundaries, ingesting identity settings and workspace metadata without inspecting or storing sensitive chat messages or uploaded corporate files.

The Claude Compliance API integration is available immediately for organizations utilizing both Orca Security and Claude Enterprise. Chief information security officers (CISOs), cloud security engineers, and compliance leaders can review integration blueprints, read technical documentation, and request an enterprise demonstration by visiting Orca Security’s official platform.

The post Orca Security Expands AI Platform with Claude Compliance Integration appeared first on ITDigest.