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The vendors AI Defense package offers protection to enterprise customers developing AI applications across models and cloud services, according to Tom Gillis, senior vice president and general manager of Ciscos Security, Data Center, Internet & Cloud Infrastructure groups. It uses AI to protect AI, Gillis added.
As AI gets built into every application and service, organizations will find themselves managing hundreds or thousands of discrete agents. For example, Microsoft has talked about how AI agents will impact application development. They dont just share information; they collaborate, reason, and take autonomous actions in real-time.
The industry transition to 400 Gigabit Ethernet networking took a big step forward this week when the worlds leading Internet exchange operator announced plans to upgrade its New York backbone to 400G. Another driver is the fact that individual data centers themselves are upgrading to 400G Ethernet. They dont even see it.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.
Reliable Internet connectivity is crucial for businesses to function efficiently and remain competitive in todays digital world. Activities like video conferencing, using cloud applications, or transferring large amounts of data require more robust solutions. What is Dedicated Internet Access (DIA)?
Welcome to the Internet of Everything. The concept of an Internet of things came along officially in an MIT statement by Kevin Ashton: people have limited time, attention, and accuracy. All of which means they are not very good at capturing data about things in the real world. Yes to the first, surely, and NO to the secondmaybe.
AGNTCY is also the underpinning of Ciscos Internet of Agents vision. Ciscos Internet of Agents describes standards-based, shared infrastructure components and an open-sourced, three-layer architecture that would enable quantum-safe, agent-to-agent communication. Thats the basic definition of a quantum data center, Nejabati said.
Deepak Jain, CEO of a Maryland-based IT services firm, has been indicted for fraud and making false statements after allegedly falsifying a Tier 4 data center certification to secure a $10.7 The Tier 4 data center certificates are awarded by Uptime Institute and not “Uptime Council.”
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Data is the heart of our business, and its centralization has been fundamental for the group,” says Emmelibri CIO Luca Paleari.
Space supply in major data center markets increased by 34% year-over-year to 6,922.6 Data Center headwinds The growth comes despite considerable headwinds facing data center operators, including higher construction costs, equipment pricing, and persistent shortages in critical materials like generators, chillers and transformers, CRBE stated.
A Zero Trust platform ensures applications and data are not visible to the public internet and users are only provided least privilege access, preventing lateral movement and protecting against ransomware attacks. In the 1990s, the internet became widely available, opening up a new frontier for cybersecurity threats.
The Center for Internet Security has updated its set of safeguards for warding off the five most common types of attacks facing enterprise networks—web-application hacking, insider and privilege misuse, malware, ransomware, and targeted intrusions.
Attackers are using encrypted channels to bypass traditional defenses, concealing malware, phishing campaigns, cryptomining/cryptojacking, and data theft within encrypted traffic. Zscaler eliminates this risk and the attack surface by keeping applications and services invisible to the internet. Read their story here.
The first step in addressing that challenge, according to enterprises, is addressing why cloud application planning is a challenge in the first place. Whatever is between the two means a redo of applications, perhaps a major redesign. Whatever is between the two means a redo of applications, perhaps a major redesign.
However, the diversity and velocity of data utilized by AI pose significant challenges for data security and compliance. Many AI models operate as black boxes and can be difficult for users to understand how their data is processed, stored, and compliant with policies. How is data encrypted? How are AI models audited?
11:11 Systems offers a wide array of connectivity services, including wide area networks and other internet access solutions that exceed the demanding requirements that a high-performance multi-cloud environment requires. These ensure that organizations match the right workloads and applications with the right cloud.
The flaws Overall, the study said, 74% of organizations had publicly exposed storage, some of which included sensitive data. And, it said, “as organizations ramp up their use of cloud-native applications so, too, does the amount of sensitive data they store there increase — including customer and employee information and business IP.
Cloud WAN provides up to 40% faster performance compared to the public internet, and up to a 40% savings in total cost of ownership (TCO) over a customer-managed WAN solution, Sambi wrote.
The goal of the middleware, which was released today to customers globally, is to improve resource allocation and memory management across various platforms and applications that use AI, according to a press release. All of these will be eventually passed on to data center operators’ customers and end users,” the researchers noted. “All
The application was first shown in beta at the 2024 Tour Championship and has seen several updates on its way to being rolled out for all to use. There have been many comparisons between AI and the Internet and the impact to society. Golf can be hard to follow since its not confined to a single playing field.
Its “backbone as a service” gives customers the ability to connect branch locations, cloud workloads and applications through Alkira’s fabric. Based on the network and user access policies, the user will then be able to connect with the specific applications and services that they are authorized to access. “We
But a key challenge for providers and vendors is connecting LLMs to the multiple data sources needed to provide truly autonomous agentic AI. Legacy systems combined with proprietary protocols make data sharing across internal and external networks a challenge. Some have referred to MCP as the USB-C port for AI applications.
The distributed nature of todays work environments, fueled by cloud computing, remote work, and the Internet of Things (IoT), presents unprecedented security challenges. Cloud security takes center stage As businesses migrate more applications and data to the cloud, securing these resources becomes paramount.
As 2025 kicked off, I wrote a column about the network vendor landscape specifically, which networking players will step up and put their efforts into finding new applications with solid business benefits that could enable a network transformation. Its not an application, but an application architecture or model.
Risks often emerge when an organization neglects rigorous application portfolio management, particularly with the rapid adoption of new AI-driven tools which, if unchecked, can inadvertently expose corporate intellectual property. This not only strengthens executive buy-in, but also accelerates progress, she explains.
Guo cited several reasons why Athos abandoned its small on-premises infrastructure in favor of Vultrs specialized cloud platform, including Athos huge on-prem electricity and internet use as well as the need for security to train its large models. The move to Vultr has also proved less expensive, he says.
Enterprises tend to think of AI as part of their application software toolbox, something that IBM realized early and has leveraged successfully. This lets them fit AI into existing business processes and software applications without a forklift. They are either cloud or locally hosted. Remember the enterprise service bus?
A solved problem In a not-so-subtle jab at manufacturers of products with poorly secured network management interfaces (NMIs) it also noted, It is possible for vendors to harden their products so that they remain secure with NMIs exposed to the internet. These devices are mission critical, he added.
Vendor support agreements have long been a sticking point for customers, and the Oracle Applications Unlimited (OAU) program is no different. That, in turn, can lead to system crashes, application errors, degraded performance, and downtime. IBM put the latest global average cost of a data breach at $4.88
China-linked actors also displayed a growing focus on cloud environments for data collection and an improved resilience to disruptive actions against their operations by researchers, law enforcement, and government agencies. The group regularly exploits vulnerabilities in public-facing web applications to gain initial access.
AI will transform industries more than the internet and the cloud. The assessment focused on six key pillars: Strategy, Infrastructure, Data, Governance, Talent, and Culture. However, only 21% possess the necessary graphical processing units (GPUs) and IT infrastructure to power AI applications.
At the other end of the speed spectrum, the Ethernet Alliance also produced the first Single Pair Ethernet plugfest to advance seamless interoperability for products and services designed for 10BASE-T1L applications. That is a standard based on the IEEE 802.3cg specification that was finalized in 2019.
The fact is, there are other options to consider — ones that better leverage AI investments across the enterprise, bridging applications, databases and broad business processes. For IT leaders looking to achieve the same type of success, Hays has a few recommendations: Take an enterprise-wide approach to AI data, processes and tools.
Addressing performance gaps in the modern workplace The rise of AI, emerging technologies, and modern workflows has significantly increased the volume of data flowing through networks every second. With more than 30%* improvement in Internet performance, the solution enables consistent service levels even during peak demand.
AI networking AI networking refers to the application of artificial intelligence (AI) technologies to network management and optimization. It involves using AI algorithms and machine learning techniques to analyze network data, identify patterns and make intelligent decisions to improve network performance, security and efficiency.
Plus, they can be more easily trained on a companys own data, so Upwork is starting to embrace this shift, training its own small language models on more than 20 years of interactions and behaviors on its platform. Users needed modems and special software and accounts with internet providers. Now, it will evolve again, says Malhotra.
The economies of scale and breadth of online services have meant that organizations of all sizes have adopted cloud services for a variety of IT functions, to such an extent that modern approaches to building and running applications are now described as “cloud native.”
In fact, computing and networking have already reached a limit due to increasing power consumption, data bandwidth, and the need for faster response time due to new innovative services and the massive amount of data being transmitted. And it will do all of this while also significantly lowering Internet power consumption.
During the event, Cisco positioned itself as a unique partner for customers facing challenges from the changing nature of the workplace to the revolution of artificial intelligence (AI) in data centers and network infrastructure or the need for digital resilience, said Oliver Tuszik, Ciscos vice president for EMEA.
AI applications and ML workloads account for nearly 20% of data center electricity consumption today, according to the Electric Power Research Institute (EPRI), and data centers are projected to represent up to 9.1% of total U.S. electricity generation annually by 2030. The 112G PAM4 Smart Retimer requires only 3.0W
Data protection is a broad category that includes data security but also encompasses backup and disaster recovery, safe data storage, business continuity and resilience, and compliance with data privacy regulations. Download our editors’ PDF hybrid cloud data protection buyer’s guide today!]
A digital workspace is a secured, flexible technology framework that centralizes company assets (apps, data, desktops) for real-time remote access. Digital workspaces encompass a variety of devices and infrastructure, including virtual desktop infrastructure (VDI), data centers, edge technology, and workstations. Learn more here.
The modern workplace is undergoing the most transformative era since the dawn of the internet, with AI PCs emerging as a driving force in redefining productivity, security, and enterprise IT management. The cloud remains the go-to for many AI applications due to its unmatched scale and processing power.
Recent cybersecurity statistics indicate that data breaches are escalating into a significant international concern. A robust incident response plan is crucial for mitigating the fallout from a data breach. A robust incident response plan is crucial for mitigating the fallout from a data breach.
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