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Fortinet has melded some of its previously available services into an integrated cloud package aimed at helping customers secure applications. Managing application security across multiple environments isn’t easy because each cloud platform, tool, and service introduces new layers of complexity.
Fortinet has expanded the reach of its AI-powered security assistant that uses genAI techniques to simplify and automate security analyses. The FortiAI assistant initially was part of Fortinet’s FortiSIEM security information and event management platform and FortiSOAR security orchestration, automation, and response product.
Cisco and Google Cloud have expanded their partnership to integrate Ciscos SD-WAN with the cloud providers fully managed Cloud WAN service. That lets customers use existing Cisco SD-WAN security policies and controls in the Google Cloud, Cisco stated.
Broadcoms decisions to replace perpetual VMware software licenses with subscriptions and to eliminate point products in favor of an expensive bundle of private cloud tools are driving longtime VMware customers to look for an exit strategy. Its enterprise-grade. IDC analyst Stephen Elliot concurs. VMware works and works really well.
Fortinet has expanded support for AI across its core cybersecurity platform to protect enterprise customers from evolving threats and simplify network and security operations. FortiAI is the vendors natural language, AI-based security assistant that promises to help customers better handle security operations and network management.
Red Hat announced updates to Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI), with a goal of addressing the high costs and technical complexity of scaling AI beyond pilot projects into full deployment. IDC predicts that enterprises will spend $227 billion on AI this year, embedding AI capabilities into core business operations.
Alcatel-Lucent Enterprise (ALE) has partnered with Celona to offer a turnkey private 5G package for industrial or IoT networks. The Private 5G solution offers large-area wireless coverage, secure and reliable high-speed mobility, supporting real-time, critical industrial applications, ALE stated.
Kyndryl has taken the wraps off a suite of private cloud services designed for enterprise customers that want to rapidly deploy AI applications in production environments. Kyndryl is incorporating Nvidias AI Enterprise software platform and NIM inference microservices in the Kyndryl Bridge integration platform , for example.
Integrating traffic management, policy enforcement, and role-based access control, Red Hat Connectivity Link is a new technology from IBMs Red Hat business unit thats aimed at simplifying how enterprises manage application connectivity across distributed cloud environments. Red Hat Connectivity Link is not a mesh, Ferreira emphasized.
Red Hat Enterprise Linux 9.5 Red Hat Enterprise Linux 9.x The latest version of the world’s leading enterprise Linux platform introduces more than 70 enhancements, ranging from advanced networking capabilities to improved container management tools. with several strategic improvements to the platform’s security architecture.
Zero Trust architecture was created to solve the limitations of legacy security architectures. Recent critical vulnerabilities in VPNs and firewalls have exposed the risks associated with perimeter-based security measures. Security requires an adaptive model that understands the fluidity and dynamism of the modern digital landscape.
Jokel talked with Network World about three key technological trends Ciscos is actively pursuing: the rise of agentic AI, preparing for the quantum era in networking and security, and addressing the growing demand for sustainable and efficient infrastructure. So, our goal is to make it as turnkey as possible for the enterprise customer.
In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT. In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns.
Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. In the rush to the public cloud, a lot of people didnt think about pricing, says Tracy Woo, principal analyst at Forrester. We see this more as a trend, he says.
With the incremental differences in the major enterprisecloud environments today, that may be enough. For sure, what AWS is announcing simplifies the life of enterprise IT. The key announcements included: Amazon FSx Intelligent-Tiering This is an AWS attempt to try and whittle down cloud costs at the enterprise level.
Infoblox and Google Cloud announced a partnership that powers new products from each company that they say will help enterprise organizations accelerate their cloud adoption with advanced networking and security capabilities. Gupta said.
There are a lot of different components that make up a cloud deployment. How many of those components, across multiple cloud environments, is the typical enterprise actually backing up for proper disaster recovery ? Thats a question that cloud infrastructure automation startup ControlMonkey is helping enterprises to help answer.
Kyndryl and Google Cloud are expanding their partnership to help customers use generative AI to move data off the mainframe and into the cloud. Googles Gemini LLMs are integrated into the Google Cloud platform and offer AI-based help across services and workflows, Google stated.
4-7 with a new portfolio of solutions and an emphasis on its flagship private cloud platform, VMware Cloud Foundation (VCF). That’s where we came up with this vision: people would build private clouds with fully software-defined networks, storage and computing. When it comes to building private clouds , we are the first.
Red Hat is updating its OpenShiftplatform with a series of capabilities that will provide more advanced networking and virtualization functionality for cloud-native deployments. BGP support extends cloud-native networking OpenShift 4.18 OpenShift is Red Hats commercially supported Kubernetes distribution. In particular, OpenShift 4.18
Nobody wants to waste money on cloud services. But by failing to fully address a handful of basic issues, many IT leaders squander funds on cloud services that could be used to support other important projects and initiatives especially as AI comes along to alter the cloud economics equation.
Artificial intelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest securitycloud. Enterprises blocked a large proportion of AI transactions: 59.9%
AI is reinvigorating the mainframe and causing enterprises to rethink their plans for mainframe modernization. IBM Institute for Business Value (IBV), in collaboration with Oxford Economics, surveyed 2,551 global IT executives to determine how mainframes are being used and prepped for increased use in AI and hybrid cloud environments.
AWS, Microsoft, and Google may continue to dominate the enterprisecloud market, but a raft of second-tier cloud providers are proving to be valuable partners for organizations and innovators with specialized workloads and use cases especially in the burgeoning AI era. Athos Therapeutics is one such enterprise.
In todays modern business landscape, cloud technology adoption has skyrocketed, driven largely by the rise of artificial intelligence (AI). This shift has completely transformed how businesses operate, with 63% of organizations citing AI as the primary driver for cloud investment.
Palo Alto Networks is teaming with NTT Data to allow the global IT services company to offer an enterprisesecurity service with continuous threat monitoring, detection and response capabilities. It has a long-standing partnership with Palo Alto, through which it offers services such as managed secure access service edge ( SASE ).
Artificial intelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. It took 20 years for the cloud and outsourcing vendors to build up spending to $67 billion a year on servers.
However, trade along the Silk Road was not just a matter of distance; it was shaped by numerous constraints much like todays data movement in cloud environments. Merchants had to navigate complex toll systems imposed by regional rulers, much as cloud providers impose egress fees that make it costly to move data between platforms.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. SD-WAN which stands for software-defined wide area network has been around for a decade, pitched to enterprises as a way to cut costs and improve WAN flexibility.
Secure Access Service Edge (SASE) is a network architecture that combines software-defined wide area networking (SD-WAN ) and security functionality into a unified cloud service that promises simplified WAN deployments, improved efficiency and security, and application-specific bandwidth policies. billion by 2025.
In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.
Causal, predictive, and generative artificial intelligence (AI) have become commonplace in enterprise IT, as the hype around what AI solutions can deliver is turning into reality and practical use cases. The Google collaboration Google and BMC began a partnership based on the shared vision of transforming enterprise IT with the power of AI.
For others, it may simply be a matter of integrating AI into internal operations to improve decision-making and bolster security with stronger fraud detection. According to a Cloudera survey, 72% of business leaders agree that data governance is an enabler of business value, underscoring the critical link between secure data and impactful AI.
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. With the rise in hybrid and multi-cloud environments, businesses will increasingly need to secure sensitive data across diverse systems.
It’s a service that delivers LAN equipment to enterprises and excludes the WAN and any cloud/storage services, Siân Morgan, research director at Dell’Oro Group, told Network World. CNaaS is for the most part a subset of public cloud-managed LAN,” Morgan said. The CNaaS technology tends to use public cloud-managed architectures.”
Coming up: VMware Explore Barcelona, Fira Gran Via November 4-7, 2024 VMware Explore 2024 attendees saw an emphasis on private AI and cloud repatriation as key strategies for enterprises. Despite the interest in private, the cloud migration is still a hot topic. VMware Explore 2024 Broadcom bolsters VMware Cloud Foundation Nov.
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. Leaders across every industry depend on its resilient cloud platform operated by a team of industry veterans and experts with extensive networking, connectivity, and security expertise.
Multiple business imperatives are driving CIOs to re-examine and re-invent their approach to network infrastructure, including the mission critical backbone that supports highly complex, bandwidth-intensive, multi-cloud environments. Hybrid multi-cloud : The debate over cloud vs. on-prem has been pretty much settled; and the answer is both.
Without robust security and governance frameworks, unsecured AI systems can erode stakeholder trust, disrupt operations and expose businesses to compliance and reputational risks. Senior executives are challenged with securing AI, aligning initiatives with governance frameworks and fortifying business resilience. Holistic approach.
Cisco has rolled out a service that promises to protect enterprise AI development projects with visibility, access control, threat defense, and other safeguards. Vulnerabilities can occur at the model- or app-level, while responsibility for security lies with different owners including developers, end users, and vendors, Gillis said.
Products that include VMware ESXi, such as VMware vSphere, VMware Cloud Foundation, and VMware Telco Cloud Platform, are also impacted. VMware products, especially the ESXi enterprise hypervisor, are high-value targets and have been repeatedly attacked by cybercriminal and cyberespionage groups over the years.
Almost every enterprise integrates some form of AI/ML capabilities within their operations or tapping into the Internet of Things (IoT) to keep operations at the edge. The reality is that enterprises not only need to keep pace with new requirements in network and security but also support their modern workloads.
I would say what were seeing on the enterprise side relative to AI is, its still in the very early days, and they all realize they need to figure out exactly what their use cases are, [but] were starting to see some spending though on specific AI-driven infrastructure. Second, AI inference and enterpriseclouds.
In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Now, EDPs are transforming into what can be termed as modern data distilleries.
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