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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.
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. AGNTCY is also the underpinning of Ciscos Internet of Agents vision.
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.
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.
As dynamic, cloud-native environments face increasingly sophisticated security threats, the boundaries between security, development, and operations teams are beginning to fade.
Zero Trust architecture was created to solve the limitations of legacy security architectures. 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.
CompTIA a+ Network and CompTIA a+ Cyber courses will provide individuals with the foundational knowledge to start a tech career in networking and security, according to IT certification and training body CompTIA. Priced at $499, the course includes some 31 hours of instruction and covers the skills to secure devices and home networks.
Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. It may be difficult to train developers when most junior jobs disappear.
The modern network security landscape is undergoing a rapid transformation, driven by the increasing complexity of business operations and the rise of new technologies. The distributed nature of todays work environments, fueled by cloud computing, remote work, and the Internet of Things (IoT), presents unprecedented security challenges.
Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.
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.
It seems like only yesterday when software developers were on top of the world, and anyone with basic coding experience could get multiple job offers. This yesterday, however, was five to six years ago, and developers are no longer the kings and queens of the IT employment hill. An example of the new reality comes from Salesforce.
The various agencies have each approached the challenge of securing the network edge from a different angle, releasing their reports on Tuesday. These guidance documents detail various considerations and strategies for a more secure and resilient network both before and after a compromise.
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. Developer tools and container innovation RHEL 9.5 Key updates in RHEL 9.5 release notes state.
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.
CyberSeek is a data analysis and aggregation tool powered by a collaboration among Lightcast, a provider of global labor market data and analytics; NICE, a program of the National Institute of Standards and Technology focused on advancing cybersecurity education and workforce development; and IT certification and training group CompTIA.
Meta will allow US government agencies and contractors in national security roles to use its Llama AI. The move relaxes Meta’s acceptable use policy restricting what others can do with the large language models it develops, and brings Llama ever so slightly closer to the generally accepted definition of open-source AI.
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 AMD DPUs are based on technology developed by Pensando, which AMD bought in 2022 for $1.9
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.
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.,
Tech+ builds on the ITF+ certification and has been developed for individuals as well as academic institutions, training organizations, and businesses, CompTIA says. Software development: Comprehend programming language categories, interpret logic, and understand the purpose of programming concepts.
Project Salus is a responsible AI toolkit, while Essedum is an AI framework for networking applications. Top AI applications : Network automation leads at 57%, followed by security at 50% and predictive maintenance at 41%. AI in networking : 74% see open source as foundational to AI success in networks.
Deepgram is the leading voice AI platform used by over 200,000 developers to build speech-to-text, text-to-speech, and full speech-to-speech (which enables individuals with speech disabilities to be clearly understood) tools. The ability to fine-tune models to accommodate industry-specific jargon.
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. Data masking for enhanced security and privacy Data masking has emerged as a critical pillar of modern data management strategies, addressing privacy and compliance concerns.
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.
Cisco is now offering its AppDynamics application management suite as part of Microsoft Azure cloud services. AppDynamics is Cisco’s core application management suite, providing real-time monitoring of application response times, error rates, and resource utilization, among other capabilities.
However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Currently, enterprises primarily use AI for generative video, text, and image applications, as well as enhancing virtual assistance and customer support.
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.
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. The package will offer customers protection, scalability, and performance for advanced AI inference development, the vendors said.
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. There are even more options for OpenShift.
While the allure of public cloud services remains strong, concerns on things like security, compliance, cost and control are bringing a renewed interest in private clouds. Despite the interest in private, the cloud migration is still a hot topic.
Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.
In a video presentation also released on Monday, Neven added that this weeks breakthrough means that practical commercial applications are as close as five years away. It turns out that the benchmark Google used was a random circuit sampling algorithm with no real applications.
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.
Today, you can save documents as PDF files from many applications (e.g., Security: PDFs are inherently secure, especially when encryption and password protection are used. It became an open ISO standard in 2015. exporting a document as a PDF from Word) and edit PDF files (e.g., using a PDF editor).
IBM has rolled out the latest iteration of its mainframe, replete with AI technology designed to take data-intensive application support well into the future. That] is the interesting story, and [how] thats going to unlock applications at some of the biggest banks, telcos, retailers, government departments, Dickens said.
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. For those, developer and integrator partners are needed. What stands in the way?
Both PFC and ECN are core tenants of the technology that industry group Ultra Ethernet Consortium is developing to enrich the venerable networking technology for AI infrastructure duties. There is also speculation – not confirmed by Cisco – that some of its headquarters buildings will be closed.
However, the diversity and velocity of data utilized by AI pose significant challenges for data security and compliance. Without proper data governance, transparency, and security, customer data, intellectual property, or other sensitive corporate information can be fed into LLM models, risking unintended data leakage.
The new AI Insight Broker features combine traditional packet brokering capabilities with advanced AI processing to address the growing complexity of network security challenges. Keysight can now filter network traffic to detect the presence of AI-based applications. The technology has matured considerably since then.
Nvidia has partnered with leading cybersecurity firms to provide real-time security protection using its accelerator and networking hardware in combination with its AI software. BlueField data processing units (DPUs) are designed to offload and accelerate networking traffic and specific tasks from the CPU like security and storage.
With OpenShift 4.18, Red Hat is integrating a series of enhanced networking capabilities, virtualization features, and improved security mechanisms for container and VM environments. In particular, OpenShift 4.18 integrates what Red Hat refers to as VM-friendly networking.
Cisco today announced plans to acquire Robust Intelligence, a security startup with a platform designed to protect AI models and data throughout the development-to-production lifecycle. In its 2024 AI Readiness Index , Cisco found that 95% of respondents believe AI will significantly impact IT infrastructure and security.
The new microservices aim to help enterprises improve accuracy, security, and control of agentic AI applications, addressing a key reservation IT leaders have about adopting the technology. Briski explained that beyond trust, safety, security, and compliance, successfully deploying AI agents in production requires they be performant.
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