This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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. Ensure security and access controls.
Zero Trust architecture was created to solve the limitations of legacy securityarchitectures. It’s the opposite of a firewall and VPN architecture, where once on the corporate network everyone and everything is trusted. Access is authorized based on business policies informed by identity and context.
To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. Just as DevOps has become an effective model for organizing application teams, a similar approach can be applied here through machine learning operations, or “MLOps,” which automates machine learning workflows and deployments.
Zero-trust security is essential to enterprises that are converging operational technology (OT) with IT infrastructure. Companies have historically secured OT systems which include physical security controls, HVAC systems, industrial control systems like factory automation equipment, and medical scanning equipment by air-gapping them.
In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Maintaining, updating, and patching old systems is a complex challenge that increases the risk of operational downtime and security lapse. The solutionGenAIis also the beneficiary.
New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology.
After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digital transformation initiative. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture.
For starters, generative AI capabilities will improve how enterprise IT teams deploy and manage their SD-WAN architecture. The technology lets organizations steer traffic across multiple WAN links, such as broadband, MPLS, or cellular WAN links, to provide secure, high-quality connectivity to campus, branch, and edge locations.
Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking. The Secure AI Factory, which the vendors announced at Nvidias GTC AI Conference going on this week in San Jose, Calif.,
As new technologies emerge, security measures often trail behind, requiring time to catch up. This is particularly true for Generative AI, which presents several inherent security challenges. No Delete Button The absence of a delete button in Generative AI technologies poses a serious security threat.
Cisco has unwrapped a new family of data center switches it says will help customers more securely support large workloads and facilitate AI development across the enterprise. The first major service these DPUs will perform on the switch will be Layer 4 stateful segmentation throughCiscos Hypershield securityarchitecture.
VMware by Broadcom has unveiled a new networking architecture that it says will improve the performance and security of distributed artificial intelligence (AI) — using AI and machine learning (ML) to do so. The latest stage — the intelligent edge — is on the brink of rapid adoption.
These updates aim to address key challenges faced by enterprise IT teams, including the growing complexity of modern infrastructure, the need for enhanced security in AI workloads and the demand for more efficient developer workflows. Confidential computing security gets a boost Security enhancements form a cornerstone of RHEL 9.5,
Palo Alto Networks is looking to expand the role SASE plays in securing private 5G networks by collaborating with additional partners to offer end-to-end communications protection. To truly safeguard enterprise, government and industrial operations, organizations need a holistic 5G security package. security measures.
As years passed new technologies like secure access service edge (SASE) and generative artificial intelligence (genAI) burst onto the scene, and SD-WAN has fallen out of the industry limelight. Why SD-WAN is still critical to the enterprise SD-WAN connects users, applications, and data across locations within a hybrid environment.
Encryption is the default for online communication, with nearly all web traffic protected by secure protocols like TLS/SSL. This trend highlights the adaptation of malware tactics to thrive in encrypted channels, using encryption to mask payloads and evade traditional security and detection measures. of blocked attacks.
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 security cloud. Zscaler Figure 1: Top AI applications by transaction volume 2.
The FortiDLP platform provides automated data movement tracking, cloud application monitoring and endpoint protection mechanisms that work both online and offline. FortiDLP expands Fortinet’s data protection efforts FortiDLP’s architecture includes several key technical components.
When AI agents begin to proliferate, a new, open structure will be needed so they can securely communicate and collaborate together to solve complex problems, suggests Cisco. As AI gets built into every application and service, organizations will find themselves managing hundreds or thousands of discrete agents.
Coined in 2010 by Forrester Research , the term zero trust has long been hijacked by security vendors eager to take advantage of the hype that surrounds the concept. In fact, its widespread misappropriation demonstrates the power of zero trust security. But ZTNA is a specific solution, not an architecture.
Today’s enterprises need more help managing and securing their distributed networking environments than they ever have, Cisco concludes in its Global Networking Trends Report. Network architectures are more sophisticated, more complex, and spread across more multi-clouds and multi-vendors than ever.
At the same time, they need to expand their cloud and security skill sets to accommodate more complex tools and technologies. The demand for AI skills is projected to persistently grow as these technologies become more central to network engineering and architectural roles.
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.
Its no secret that more modern approaches to remote access have been usurping VPNs as organizations adapt to the realities of a more distributed workforce, increasingly cloud-based applications, and heightened security threats. Designed to scale, ZTNA can accommodate a larger number of users and deviceswithout compromising security.
Cisco is boosting network density support for its data center switch and router portfolio as it works to deliver the network infrastructure its customers need for cloud architecture, AI workloads and high-performance computing. This is accomplished with a common operating system, P4 programmable forwarding code, and an SDK.
The Tech+ certification covers basic concepts from security and software development as well as information on emerging technologies such as artificial intelligence, robotics, and quantum computing. Infrastructure: Learn how to install common peripheral devices to a laptop or a PC and how to secure a basic wireless network.
Fortinet has reached an agreement to buy cloud security company Lacework for an undisclosed amount. Founded in 2015, Lacework is known for its cloud-based machine learning, AI and automation technology that lets customers manage and secure cloud workflows.
INE Security , a global provider of cybersecurity training and certification, today announced its initiative to spotlight the increasing cyber threats targeting healthcare institutions. Every member of a healthcare team from physicians to IT personnel plays a role in cybersecurity, said Dara Warn, CEO of INE Security.
Technology leaders in the financial services sector constantly struggle with the daily challenges of balancing cost, performance, and security the constant demand for high availability means that even a minor system outage could lead to significant financial and reputational losses. Architecture complexity. Vendor lock-in.
Two things play an essential role in a firm’s ability to adapt successfully: its data and its applications. What companies need to do in order to cope with future challenges is adapt quickly: slim down and become more agile, be more innovative, become more cost-effective, yet be secure in IT terms.
They are using the considerable power of this fast-evolving technology to tackle the common challenges of cloud modernization, particularly in projects that involve the migration and modernization of legacy applications a key enabler of digital and business transformation. In this context, GenAI can be used to speed up release times.
F5 this week said it’s working with Intel to offer customers a way to develop and securely deliver AI-based inference models and workloads. This feature is useful for distributed applications or scenarios where AI inference needs to be performed on powerful servers while the client device has limited resources.”
Legacy platforms meaning IT applications and platforms that businesses implemented decades ago, and which still power production workloads are what you might call the third rail of IT estates. Compatibility issues : Migrating to a newer platform could break compatibility between legacy technologies and other applications or services.
VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” VMware Tanzu RabbitMQ: “Secure, real-time message queuing, routing, and streaming for distributed systems, supporting microservices and event-driven architectures.” Not at all.”
For decades, businesses have relied on MPLS and SD-WAN to connect branch offices and remote workers to critical applications. This approach embraces Zero Trust principles to deliver flexibility, simplify operations, and improve security. Complex Security Challenges: Attackers love SD-WANand thats not something to brag about.
The updated product also has enhanced security features, including LLM guardrails. Our vision is to be the platform of choice for running AI applications, says Puri. The system integrator has the Topaz AI platform, which includes a set of services and solutions to help enterprises build and deploy AI applications.
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 applicationarchitecture or model.
For network engineers and security leaders tasked with securing modern enterprise environments, the challenge of preventing lateral threat movement is critical. These devices typically lack robust built-in security, can’t accept agents, and can be highly vulnerable to compromise.
The goal of the Kyndryl/Google Cloud service is to make it easier for organizations to utilize AI assistance to access and integrate mainframe-based data with cloud-based resources and combine that data with other information to build new applications, the companies stated.
Kyndryl has expanded its alliance with Palo Alto Networks to add secure access service edge ( SASE ) services to its managed services offerings. A secure web gateway (SWG), cloud-access security broker (CASB) and firewall-as-a-service (FWaaS) are part of the Prisma SASE bundle. The latest version of Prisma SASE, version 3.0,
Although organizations have embraced microservices-based applications, IT leaders continue to grapple with the need to unify and gain efficiencies in their infrastructure and operations across both traditional and modern applicationarchitectures.
a significant update to the open-source distributed cloud platform designed for IoT, 5G, O-RAN and edge computing applications. This latest version introduces substantial improvements to networking capabilities, security features and management tools. The Open Infrastructure Foundation is out with the release of StarlingX 10.0,
To bridge this critical gap, IT leaders should focus on the five Ss speed, security, scale, simplicity, and smarts to strengthen their cybersecurity and response capabilities. To address these challenges, organizations need to implement a unified data security and management system that delivers consistent backup and recovery performance.
What do the chief digital officer, chief technology officer, chief information security officer, chief transformation officer, chief data officer, and so on, have in common? The fact is that within enterprises, existing architecture is overly complex, often including new digital systems interconnected with legacy systems.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content