Tech News
Cisco Reimagines Security for Data Centers and Clouds in Era of AI
News Summary:
Cisco powers and secures AI-scale data centers and clouds, safeguarding every application and device regardless of distribution or connectivity.
- In today’s highly distributed landscape, the window from vulnerability to exploitation is shrinking rapidly.
- Defending against this complex threat environment is beyond human scale.
- Cisco Hypershield enables customers to deploy security wherever needed: in the cloud, data center, factory floor, or hospital imaging room.
- With AI-native security, customers can autonomously segment networks, enjoy distributed and instant exploit protection without patches, and experience self-qualifying software upgrades with zero downtime.
News in Detail:
Cisco, the leader in security and networking, today unveiled a radically new approach to securing data centers and clouds in response to the increasing demands the AI revolution has put on IT infrastructure. Cisco is rearchitecting how we harness and protect AI and other modern workloads with industry-first, Cisco Hypershield. With this unprecedented innovation, Cisco is tipping the scales in favor of defenders, building on its recent announcements to accelerate AI infrastructure with Cisco’s ethernet switching, silicon and compute portfolio.
Cisco Hypershield protects applications, devices and data across public and private data centers, clouds and physical locations – anywhere customers need it. Designed and built with AI in mind from the start, Hypershield enables organizations to achieve security outcomes beyond what has been possible with humans alone.
“Cisco Hypershield is one of the most significant security innovations in our history,” said Chuck Robbins, Cisco Chair and CEO. “With our data advantage and strength in security, infrastructure and observability platforms, Cisco is uniquely positioned to help our customers harness the power of AI.”
Hypershield is a revolutionary new security architecture. It’s built with technology originally developed for hyperscale public clouds and is now available for enterprise IT teams of all sizes. More a fabric than a fence, Hypershield enables security enforcement to be placed everywhere it needs to be. Every application service in the datacenter. Every Kubernetes cluster in the public cloud. Every container and virtual machine (VM). It can even turn every network port into a high-performance security enforcement point, bringing completely new security capabilities not just to clouds, but to the data center, on a factory floor, or a hospital imaging room. This new technology blocks application exploits in minutes and stops lateral movement in its tracks.
“AI has the potential to empower the world’s 8 billion people to have the same impact as 80 billion. With this abundance, we must reimagine the role of the data center – how data centers are connected, secured, operated and scaled,” said Jeetu Patel, Executive Vice President and General Manager for Security and Collaboration at Cisco.

“The power of Cisco Hypershield is that it can put security anywhere you need it – in software, in a server, or in the future even in a network switch. When you have a distributed system that could include hundreds of thousands of enforcement points, simplified management is mission critical. And we need to be orders-of-magnitude more autonomous, at an orders-of-magnitude lower cost.”
Security enforcement with Hypershield happens at three different layers: in software, in virtual machines, and in network and compute servers and appliances, leveraging the same powerful hardware accelerators that are used extensively in high-performance computing and hyperscale public clouds.
Hypershield was built on three key pillars:
• AI-Native: Built and designed from the start to be autonomous and predictive, Hypershield manages itself once it earns trust, making a hyper-distributed approach at scale possible.
• Cloud-Native: Hypershield is built on open source eBPF, the default mechanism for connecting and protecting cloud-native workloads in the hyperscale cloud. Cisco acquired the leading provider of eBPF for enterprises, Isovalent, earlier this month.
• Hyper-Distributed: Cisco is completely reimagining how traditional network security works by embedding advanced security controls into servers and the network fabric itself. Hypershield spans all clouds and leverages hardware acceleration like Data Processing Units (DPU) to analyze and respond to anomalies in application and network behavior. It shifts security closer to the workloads that need protection.
Cisco, with its industry-leading expertise in networking, security and extensive partner ecosystem, together with NVIDIA, is committed to building and optimizing AI-native security solutions to protect and scale the data centers of tomorrow. This collaboration includes leveraging the NVIDIA Morpheus cybersecurity AI framework for accelerated network anomaly detection, as well as NVIDIA NIM microservices for powering custom security AI assistants for the enterprise. NVIDIA’s class of converged accelerators combine the power of GPU and DPU computing, to augment Cisco Hypershield with robust security from cloud to edge.
“Enterprises across all industries are seeking the security that can protect them against ever expanding cyber threats,” said Kevin Deierling, Senior Vice President of Networking at NVIDIA. “Together, Cisco and NVIDIA are leveraging the power of AI to deliver powerful, incredibly secure data center infrastructure that will enable enterprises to transform their businesses and benefit customers everywhere.”
As a revolutionary new security architecture, Hypershield is solving three key customer challenges in defending against today’s sophisticated threat landscape:
• Distributed Exploit Protection: Attackers are adept at weaponizing newly published vulnerabilities faster than defenders can patch. With defenders seeing nearly 100 new vulnerabilities every day, according to Cisco Talos Threat Intelligence, this can lead to catastrophic results. Hypershield delivers protection in minutes by automatically testing and deploying compensating controls into the distributed fabric of enforcement points.
• Autonomous Segmentation: Once an attacker is in the network, segmentation is key to stopping their lateral movement. Hypershield perpetually observes, auto-reasons and re-evaluates existing policies to autonomously segment the network, solving this in large and complex environments.
• Self-qualifying Upgrades: Hypershield automates the incredibly laborious and time-consuming process of testing and deploying upgrades once they are ready, leveraging a dual data plane. This completely new software architecture allows software upgrades and policy changes to be placed in a digital twin that tests updates using the customer’s unique combination of traffic, policies and features, then applying those updates with zero downtime.
Built into the Security Cloud, Cisco’s unified, AI-driven, cross-domain security platform, Cisco Hypershield is expected to be Generally Available in August 2024. With Cisco’s recent acquisition of Splunk, customers will gain unparalleled visibility and insights across their entire digital footprint for unprecedented security protection.
“AI is not just a force for good but also a tool used for nefarious purposes, allowing hackers to reverse engineer patches and create exploits in record time. Cisco looks to address an AI enabled problem with an AI solution as Cisco Hypershield aims to tip the scales back in favor of the defender by shielding new vulnerabilities against exploit in minutes – rather than the days, weeks or even months as we wait for patches to actually get deployed,” said Frank Dickson, Group Vice President, Security & Trust at IDC. “With the number of vulnerabilities ever increasing and the time for attackers to exploit them at scale ever decreasing, it’s clear that patching alone can’t keep up. Tools like Hypershield are necessary to combat an increasingly clever malicious cyber adversary.”
“Cisco Hypershield takes aim at the complex security challenges of modern, AI-scale data centers. Cisco’s vision of a self-managing fabric that seamlessly integrates from the network to the endpoint will help redefine what’s possible for security at scale,” said Zeus Kerravala, Founder and Principal Analyst of ZK Research. “For instance, this level of visibility and control across a hyper-distributed environment prevents lateral movement of attackers, enabled through a unique approach to segmentation that’s autonomous and highly effective. While this may seem fantastical, the time is right given recent AI advances combined with the maturity of cloud-native technologies like eBPF.”
“At AHEAD we believe cybersecurity should be integrated into everything we do. Bolted-on security is more expensive and less effective,” said Steven Aiello, Field Chief Information Security Officer at AHEAD. “Cisco Hypershield ensures that cyber protections are included into the fabric of the enterprise. Distributed Exploit Protection will be a massive win for blue teams – legacy synthetic patching was primarily limited to edge devices, allowing lateral movement once an attacker breached the perimeter. It’s a great day for cyber-defenders!”
Tech News
Snowflake powers KSA’s Zahid Group’s data and AI transformation to unlock enterprise value
Zahid Group, one of Saudi Arabia’s leading diversified business groups spanning heavy equipment, energy, transport and manufacturing, and others, has selected Snowflake, the AI Data Cloud company, as the strategic foundation for its enterprise data and AI transformation, giving the Group a scalable way to strengthen governance, advance AI adoption, and elevate customer experiences enterprise-wide. The relationship was formalized during a signing ceremony at Zahid Business Park in Jeddah, launching a multi-year investment that will strengthen productivity and support technology-led growth in line with Saudi Vision 2030.
With Snowflake, Zahid Group’s Digital Solutions Division is unifying data from across its business streams and departments on a governed, secure, centralized and scalable lakehouse platform. A modern business intelligence ecosystem will give leaders faster access to information, enabling them to spend less time reconciling reports and more time acting on insights. The next phase will use Snowflake Cortex AI to enable employees to engage with data through natural language, reducing reliance on traditional reporting and shortening the path from question to decision.
Snowflake’s adoption at Zahid Group comes as Saudi Arabia accelerates its goal of becoming the Middle East’s leading AI infrastructure and technology hub. The Council of Ministers has designated 2026 as the Year of AI, and PwC estimates that AI could contribute around 12.4% of the country’s GDP by 2030.
Before adopting Snowflake, Zahid Group’s data was dispersed across multiple systems, requiring extensive manual consolidation and resulting in reporting inconsistencies that slowed decision-making. As an early proof of value, the Caterpillar Helios initiative demonstrated the power of secure, real-time data sharing through Snowflake. Building on this foundation, Zahid Group is now extending Snowflake’s capabilities across its digital ecosystem, enabling real-time data streaming and integration with core platforms such as Infor and Salesforce.
This connected architecture has standardized critical reporting processes, reducing month-end reporting cycles from days to hours, and in many cases minutes. By eliminating manual effort and improving data consistency, it provides leaders with timely, trusted insights that support faster decision-making and strengthen a culture of data-driven innovation.
Suzan Sadek, Group IT Manager, Zahid Group, said: “Data is one of the most valuable assets of the digital economy. By choosing Snowflake, we are building a trusted and scalable data foundation that enables AI-driven innovation, faster decision-making, and improved customer experience. This transformation strengthens Zahid Group’s competitiveness, while supporting Saudi Arabia’s Vision 2030 ambition to create a data-driven economy.”
Michel Nader, General Manager for the Middle East, Turkey & Africa, Snowflake, said: “Zahid Group is demonstrating how trusted data can become the foundation for enterprise AI at scale. Snowflake brings information closer to customers while providing leading AI capabilities to enable digital transformation across Zahid’s operating environment. We are proud to support the company’s next phase too, where employees can access trusted insights faster and strengthen the Group’s ability to create lasting and scalable value across its businesses.”
Looking ahead, Zahid Group will expand Snowflake’s platform’s role across the Group, extending governed data products, advanced analytics and AI capabilities into more business functions to deliver measurable value for customers, partners and employees.
Tech News
PNY Technologies Joins LEAP 2026 with the Latest AI Technologies – Riyadh, Saudi Arabia | 31 August to 3 September | Booth H3-D10
PNY Technologies announces its participation in LEAP 2026, taking place in Riyadh from 31 August to 3 September, where it will present its latest AI infrastructure and accelerated computing solutions.
The showcase will feature the technologies behind PNY’s AI infrastructure portfolio, from the AI Enterprise Factory to the latest NVIDIA RTX PRO and GeForce graphics solutions, together with networking and infrastructure technologies.
Visitors will also be able to explore the PNY AI Factory Digital Twin Configurator, which allows users to design and configure their own AI factory using digital twins and NVIDIA Omniverse.
PNY will also host live demonstrations developed in collaboration with its technology partners, including SOMOD, DDN, INFINIARC, VERTIV, and F5.
The company’s participation in LEAP 2026 reflects its continued commitment to supporting AI innovation across the Middle East and helping shape the technologies powering the region’s digital transformation.
The PNY team, including regional representatives, will be on-site throughout LEAP 2026 to meet with visitors, partners, and members of the media at Hall H3, Booth D10. Attendees wishing to arrange a briefing or interview are welcome to submit a request below.
Contact request: https://forms.pny.eu/pny-at-leap-2026/
Press contact: sverdier@pny.com / mhamdouche@pny.com
Tech News
Globant Introduces Glob.AI, Reinventing Technology Services for the AI Era
Globant (NYSE: GLOB), a global company focused on driving enterprise reinvention through AI, today introduces Glob.AI, a new AI-native tech services model that fundamentally changes how enterprises access, purchase and deploy AI services. Available online through a self-service model, Glob.AI gives organizations access to enterprise-grade, high quality AI Pods (service units run by a set of AI agents and supervised by humans). Companies are charged for what they produce -per output or per consumption- never per seat or per hour.

“For over 20 years, Globant has stayed ahead of every major technology shift, and AI is no different. Glob.AI is our next step: the one-stop shop where our AI Pods live, each specialized by task and industry. Traditional AI adoption drives token consumption far beyond what efficient output requires, and the real cost is the wasted tokens plus the unstructured, manual supervision of AI. AI Pods introduce a smarter model, running the right AI through parallel agents, loops, workflows, and deterministic processes, representing the true state of the art of what AI can deliver today,” said Martín Migoya, CEO and co-founder of Globant.
Glob.AI brings together AI-native velocity with Globant’s 23 years of enterprise delivery baked into the governance layer. AI agents do the heavy lifting, with Globant’s experts supervising their outputs and guiding every step. Glob.AI works to standards–documented, tested, secure, built for enterprise scale. It’s the speed AI promises, with the rigor and quality that businesses need, by including:
- Well-defined, deterministic, and repeatable processes, supervised end to end by experts
- Optimized AI usage and transparent pricing: customers pay strictly for expert-validated outputs and/or real consumption — not hours, seats, AI hallucinations, retries, or wasted cycles.
- At least 30% more productive than the typical engineer-plus-AI approach
- Full AI sovereignty and governance: total flexibility over which models customers use and where they run them, with zero client data ever used to train external models.
- Token consumption secured in a client’s proprietary Token Vault, providing full traceability and compounding a client’s institutional knowledge over time.
“AI is not just making the same projects faster, it is making thousands of projects viable that never were before,” said Guibert Englebienne, co-founder of Globant. “Until today, enterprises could not buy technology services this way: instantly, transparently, paying only for results. That is the shift Glob.AI delivers, and the strong demand for AI Pods shows enterprises are ready for it.”
Organizations joining the waiting list at Glob.AI will gain early access to a comprehensive catalog of agentic workflows capable of building and deploying solutions for enterprise platforms and specialized industry use cases. The AI Pods in the offering also include partnerships with major organizations including Anthropic, AWS, Vercel, OpenAI, Adobe, Azure, Google Cloud Platform, SAP and Salesforce.
Traditional enterprise tech services require months of discovery, RFPs, and procurement cycles before the work begins. Glob.AI changes that model entirely. Users can log in and immediately start building enterprise grade software. Tech delivery becomes a live, continuous service rather than a fixed-term project — every improvement and release happening on the platform, fully visible to the client, in real time.
Globant released AI Pods in mid-2025, and they are already in use by several Fortune 500 organizations across media, entertainment, professional services, and finance, delivering early results that include:
- FIFA experiencing a 20% efficiency increase in throughput generation while maintaining or improving quality rates
- LALIGA deploying AI across key functions in three months
- YPF reducing contract timelines by up to 40%
- PharmaMar achieving 15x faster insights in oncology research
- A leading commercial bank completing a COBOL migration in 2 months versus 14 as projected with a traditional approach
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