In Cloud Computing & Connectivity news this week…

AWS and Lumen Partner to Simplify Private Cloud Connectivity for Enterprises
Amazon Web Services and Lumen Technologies have partnered to streamline private cloud connectivity for enterprises. The collaboration aims to deliver secure, scalable, and simplified network integration between on-premises environments and cloud platforms. As hybrid cloud adoption accelerates, seamless connectivity is becoming a critical enabler of digital transformation.

In Business Technology news this week…

UST Launches Nimbus to Redefine Global Capability Centers as Innovation Engines
UST has introduced Nimbus, a platform designed to transform global capability centers into hubs of innovation. By leveraging AI, automation, and advanced analytics, Nimbus enables organizations to drive value beyond traditional operational roles. This reflects a broader shift toward strategic, innovation-led enterprise models.

In Data & Analytics news this week…

Qlik Launches AI Sovereignty Initiative to Help Enterprises Navigate Complex Data Regulations
Qlik has unveiled an AI sovereignty initiative aimed at helping organizations manage data governance and regulatory compliance. The program focuses on enabling secure, transparent, and region-specific AI deployments. As global data regulations tighten, such initiatives are essential for maintaining trust and compliance.

In Enterprise AI & Partnerships news this week…

Celonis and Oracle Partner to Accelerate Enterprise AI and IT Modernization
Celonis and Oracle have formed a strategic partnership to advance enterprise AI adoption and IT modernization. By combining process intelligence with cloud capabilities, the collaboration aims to optimize workflows and improve operational efficiency. This highlights the growing importance of integrated AI ecosystems.

In Quantum Computing news this week…

NVIDIA Launches Ising Open AI Models to Accelerate the Path to Practical Quantum Computing
NVIDIA has introduced Ising open AI models designed to bridge the gap between classical AI and quantum computing. These models aim to accelerate research and practical applications in quantum systems by leveraging advanced simulation techniques. The development underscores the convergence of AI and quantum technologies in solving complex computational challenges.

In FinTech news this week…

Q2 Introduces AI-Powered Development Environment to Accelerate Digital Banking Innovation
Q2 has launched an AI-powered development environment to enhance digital banking solutions. The platform enables faster development, improved security, and streamlined deployment of financial applications. This reflects the increasing role of AI in transforming banking technology and customer experiences.

In HealthTech news this week…

Ambience Healthcare Charts AI-Driven Future to Transform Care Delivery
Ambience Healthcare is advancing AI-driven healthcare solutions aimed at improving care delivery and operational efficiency. By integrating AI into clinical workflows, the company seeks to enhance patient outcomes and reduce administrative burdens. This highlights the growing impact of AI across the healthcare ecosystem.

In IT & DevOps news this week…

GitLab Expands Agentic AI Capabilities to Automate Security Pipelines and Delivery Insights
GitLab has expanded its agentic AI capabilities to automate security pipelines and improve delivery insights. The enhancements aim to streamline software development, enhance security, and provide actionable intelligence throughout the DevOps lifecycle. This signals a shift toward autonomous, AI-driven software delivery processes.

Article of the Week

Hybrid Cloud Solutions in 2026: How Enterprises Balance Flexibility, Security, and Performance

Hybrid cloud is becoming the foundation of modern enterprise IT strategies, offering a balance between flexibility, scalability, and control. Organizations are increasingly adopting hybrid models to manage diverse workloads while ensuring data security and regulatory compliance. As cloud environments grow more complex, the ability to seamlessly integrate public and private infrastructures will be critical for maintaining performance, resilience, and business agility.

The post ITDigest’s Weekly News Roundup Featuring Amazon Web Services, Lumen Technologies, UST, Qlik, Celonis, Oracle, NVIDIA, Q2, Ambience Healthcare and GitLab appeared first on ITDigest.

These new features add AI agents capable of detecting issues in the code on their own, suggesting changes, and sometimes even fixing problems automatically. This is a significant change in security practices – typically, problems would be identified but it would be up to human intervention to address them – now the focus is on autonomous and actionable approach. In fact, GitLab achieves this by integrating the capabilities right into the development pipeline, so that risk is mitigated without slowing down innovation.

Besides improving security measures, GitLab also released features which can automate pipeline setup. These enable development groups to instantly set up CI/CD pipelines with the help of AI recommending the best practices and project needs. As a result, the complexity of getting new projects on board is minimized and the consistency of the development workflows is maintained.

Furthermore, the platform has upgraded the delivery analytics that gives teams a comprehensive understanding of the software performance, deployment frequency, and bottlenecks. By using these analytics, business organizations can rely on data to help them make decisions and at the same time, optimize Prouction continuously. On the whole, these changes illustrate GitLab’s commitment to being a single DevSecOps platform with the support of smart automation.

Also Read: NVIDIA Launches Ising Open AI Models to Accelerate the Path to Practical Quantum Computing

Implications for the IT Industry

GitLab’s expansion of agentic AI capabilities reflects a broader transformation in the IT industry toward autonomous software development and operations. Software systems are getting more complex and releases cycles faster, making the traditional manual processes insufficient to maintain the speed and security.

Introducing AI-driven security remediation is very important. The volume and sophistication of cybersecurity threats are both increasing. Most of the time organizations are incapable of vulnerability management. Automating detection and remediation through platforms such as GitLab is a great way to transform security from being a reactive function to a proactive and integrated part of development.

Automated pipeline setup is a step further to emphasize developer productivity and standardization. IT teams could reduce configuration overhead, minimize errors and accelerate time-to-market by using AI-driven automation.

Besides that, with delivery analytics, the industry is also focusing on data-driven DevOps practices. Nowadays, organizations are relying on constant insights to optimize their performance, improve collaboration and deliver better results.

Business Impact and Strategic Value

A number of these new features of GitLab present great advantages to enterprises such as a powerful blend of swiftness, security, and productivity. Automation can easily help in ways of organizing code related pipelines, detecting and fixing vulnerabilities. Through these measures, organizations can operate at lower cost and developers will have more time on their hands for activities that contribute to their personal development as well as the company.

Security is next on the list of benefits. For example, automated remediation minimizes the chances of a fatal breach, non-fulfillment of compliance, among others. In such cases, IT keeps business data safe and customer’s trust is gained and retained.

At the same time, these reformed analytics execution modes serve the purpose of facilitating good decisions making. Companies derive development pattern loopholes and sort out the allocation of their resources in efficient manner so that final outputs meet their time and financial plans.

What is more, software quick and steady delivery can in turn be a source of supply advantage especially for ones belonging to industries where it is innovation and speed that count the most. These are the kind of organizations whose positioning in the market is the most enabling in spite of the extreme and mobile nature of customer demands to which they have to always respond. Moreover, they are able to launch their new and innovative apps with the highest quality.

Advancing the Future of DevSecOps

GitLab’s latest updates highlight a defining trend in enterprise technology: the evolution of DevSecOps into intelligent, self-optimizing systems powered by agentic AI. As AI continues to mature, development platforms are becoming more proactive, capable of not only identifying issues but also resolving them autonomously.

For the IT industry and businesses alike, this marks a new era where software development is faster, more secure, and increasingly automated. Organizations that embrace these advancements will be better equipped to navigate the complexities of modern IT environments and drive sustained innovation in an AI-driven world.

The post GitLab Expands Agentic AI Capabilities to Automate Security, Pipelines, and Delivery Insights appeared first on ITDigest.

Also Read: TrendAI and Anthropic Collaborate to Advance AI Security Capabilities

Organizations such as Socket, Semgrep, Calif, and Trail of Bits have been some of the initial beneficiaries of the grant for software supply chain protection and bug detection initiatives. Some of the participating enterprises include Bank of America, Cisco, NVIDIA, and Palo Alto Networks. In addition, OpenAI has extended the access rights to GPT-5.4-Cyber to organizations including the U.S. Center for AI Standards and Innovation and the UK AI Security Institute for evaluations.

Read More: Accelerating the cyber defense ecosystem that protects us all

The post OpenAI Expands Trusted Access for Cyber to Strengthen Global Defense Ecosystem appeared first on ITDigest.

Also Read: Akamai and Arrow Electronics Partner to Scale Secure Digital Experiences

“We launched TrendAI to define the AI security category. This next phase is about scaling that vision globally, with leading partners like Anthropic. Our broad, strategic collaboration across research, defense, and innovation will define how AI is secured moving forward,” said Rachel Jin, Chief Platform and Business Officer, Head of TrendAI. The partnership aims to expand threat research efforts like the Zero Day Initiative and Pwn2Own. This will help identify weaknesses in AI environments sooner. Overall, this move shows the industry’s drive to secure complex, AI-driven infrastructures on a larger scale.

Read More: TrendAI Partners with Anthropic to Extend Leadership in AI Security

The post TrendAI™ and Anthropic Collaborate to Advance AI Security Capabilities appeared first on ITDigest.

Also Read: Accenture Backs Replit to Accelerate AI-Driven Enterprise Software Development

“This partnership will allow our portfolio companies to rapidly implement leading AI technology from Google Cloud, which will enable our companies to build and deliver the most innovative AI solutions for their customers,” said Orlando Bravo, Founder and Managing Partner at Thoma Bravo. The partnership focuses on boosting cybersecurity. It aims to tackle AI-driven threats by improving identity governance, access control, and threat detection in changing enterprise settings.

Read More: Thoma Bravo and Google Cloud Launch Strategic Partnership to Deliver on the Promise of AI for Enterprise Software

The post Thoma Bravo and Google Cloud Partner to Accelerate Enterprise AI Transformation appeared first on ITDigest.

Trust is at the core of any system, and this partnership helps teams build with confidence from the start. Together, Hashgraph and Halborn are helping ensure that applications launching on the Hedera network are resilient from day one and continue to meet high standards as they grow.

“Security is fundamental to trust in any distributed system,” said Joe Blanchard, CIO and CSO at Hashgraph. “By working with Halborn, we are giving builders in the Hedera ecosystem access to specialized expertise that helps them identify and address risks early, and continue strengthening their systems over time.”

Halborn brings deep experience securing systems that operate under real-world pressure. The firm has conducted more than 2,500 security assessments, identified over 13,000 vulnerabilities, and helped protect more than $1 trillion in digital assets. Its team of more than 100 security practitioners supports over 800 clients, including financial institutions operating in highly regulated environments. This experience shapes a practical approach to security that focuses on how systems behave when things go wrong.

Also Read: Elliptic Integrates With Tempo, the Payments-First Blockchain

Halborn’s methodology focuses on identifying potential exploit paths across the full stack, with the goal to deliver clear, prioritized findings that teams can act on quickly, with validation processes in place to ensure accuracy and completeness. A key element of the partnership is enabling a more structured approach to security as projects evolve, including:

• Pre-launch readiness, where early risks are identified and translated into clear go or no-go decisions
• Targeted assessments, allowing teams to bring in security expertise as new components are introduced
• Continuous engagement, where security becomes an ongoing part of development and operations

This model reflects how risk changes as systems grow more complex, integrate with new services, and attract greater usage. For the Hedera ecosystem, it means access to security support that aligns with how projects are actually built and deployed.

The partnership between Hashgraph and Halborn is ultimately focused on strengthening trust. By combining Hedera’s consensus-level security with Halborn’s ability to identify and address real-world threats, the Hedera ecosystem is better positioned to support applications that require a high level of assurance, from financial services to AI and beyond.

Source: PRNewswire

The post Hashgraph and Halborn Partner to Elevate Security Across the Hedera Ecosystem appeared first on ITDigest.

Also Read: Dfns Launches ‘Payouts’ API to Simplify Stablecoin-to-Fiat Settlement

“We’ve spent years building our expertise in blockchain, and now we’re expanding that work by running critical blockchain infrastructure ourselves,” said Cuy Sheffield, Head of Crypto, Visa. The company added that its participation aligns with its broader strategy to support stablecoin payment systems and ensure enterprise-grade standards for emerging digital payment ecosystems. Tempo noted that Visa’s global transaction expertise makes it a strong fit for validating payments at scale.

Read More: Visa Launches Validator Node on Tempo Blockchain

The post Visa Launches Validator Node on Tempo Blockchain to Strengthen Onchain Payment Infrastructure appeared first on ITDigest.

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.

The MCP server offers a way to work with popular AI tools and live operational data within N-able’s UEM solutions, such as N-central and N-sight, in a very natural manner. In the past, teams have had to depend on inflexible APIs and manual methods to interconnect systems, which has kept the use of AI quite limited in practice. Through the MCP server, enterprises can establish a secure connection between tools like Claude, ChatGPT, or Copilot right in their environments, making it possible for them to query data and execute actions under control immediately.

This process creates more flexibility in choosing models, makes the process of work of AI fit the operations, and makes sure that the access to sensitive data is controlled. This will allow for the development of an open environment, where AI can be integrated into various AI systems and partners. By allowing access to AI on telemetry, N-able intends to turn AI from just analytics into active participation in IT operations.

Also Read: Strobes Introduces AI Harness to Accelerate End-to-End Penetration Testing

Complementing this capability is N-zo, an embedded AI assistant designed to accelerate issue resolution. Built directly into the UEM interface, N-zo leverages live system data to provide actionable insights, identify root causes, and recommend remediation steps. It can also generate reports and briefings instantly, helping teams reduce manual effort and stay focused on higher-value tasks.

Early feedback highlights its impact. “This is probably one of the best and quickest ways that I found value. I’m getting to skip support for a bunch of things. It’s already saved me so much time,” said Louis Oosthuizen, Software Engineer at Zhero.

“IT and security teams are under constant pressure, managing more tools and more data with less time to act,” said Nicole Reineke, Chief AI Officer at N-able. “The MCP server securely connects AI tools to live environments, turning AI from isolated insight into controlled, real-time action. N-zo complements that by embedding intelligence directly into N-central and N-sight as an in-product AI that understands the environments technicians manage, and accelerates resolution so teams can focus on proactive work instead of constant firefighting.”

Together, these innovations position N-able at the forefront of AI-native IT management, offering organizations a more efficient and responsive approach to endpoint operations.

The post N-able Introduces AI-Native UEM with MCP Server and N-zo Assistant appeared first on ITDigest.

Roland joins UserTesting from Overjet, where he served as Chief Financial Officer and helped scale the company’s financial operations during a period of rapid expansion. He has also held senior finance leadership roles at AKASA, an AI-first healthcare technology company, as well as Honor, Teespring, Jive Software, and SAP SuccessFactors.

Also Read: Enformion Launches Licensed Identity Intelligence Infrastructure to Power AI and Modern Data Platforms 

“Our customers rely on us to help them avoid building the wrong things, and as AI accelerates how quickly products and experiences are created, the demand for what we offer is only increasing,” said Eric Johnson, CEO of UserTesting. “Ryan brings the experience we need to scale thoughtfully so we can meet that demand without compromising quality.”

“I’m excited to join UserTesting at such an important moment,” said Roland. “There’s a real opportunity to help organizations make better decisions by bringing customer context into how they build and operate. I’m looking forward to partnering with the team to support that work and drive long-term growth.”

Source: BusinessWire

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