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
Cambridge Health Group and Heriot-Watt University to advance research and innovation in the GCC
Cambridge Health Group (“CHG an international specialist healthcare group providing post-acute care and a subsidiary of Amanat Holdings PJSC (“Amanat”), has signed a three-year Memorandum of Understanding (MoU) with Heriot-Watt University (“Heriot-Watt”) to advance academic research in rehabilitation, long-term care and specialised care.
The agreement brings together CHG’s clinical expertise in long-term care and post-acute rehabilitation across six facilities in the UAE and Saudi Arabia with Heriot-Watt University’s pioneering research in healthy ageing, rehabilitation robotics and assistive technologies. Through its Global Research Institute in Health and Care Technologies and the National Robotarium, Heriot-Watt combines expertise in engineering, artificial intelligence and behavioural science to address complex challenges in health and care. Heriot-Watt’s global presence spans five campuses across Scotland, Dubai and Malaysia, with plans to establish a further campus in Saudi Arabia.
Together, the organisations will connect research with clinical practice, creating opportunities to develop and evaluate innovations that support rehabilitation, maximise independence and improve quality of life for people with complex, long-term care needs. The partners will also pursue national and international research grants, including collaboration with government and industry partners.
The partnership will also support the development of the region’s specialist healthcare workforce through academic training, executive education and tailored development programmes. These will include postgraduate research supervision, internships, industry placements and mentoring, helping connect academic learning with practical experience.
Professor Dame Heather McGregor, member of Heriot-Watt University’s Executive, said: “Universities have an important role in ensuring that research responds to the needs of society and that its benefits extend beyond academia. Our partnership with Cambridge Health Group brings our researchers closer to the questions and challenges shaping healthcare practice, creating opportunities to translate knowledge into meaningful improvements in care. Through education, professional development and practical experience, we look forward to supporting the skills and expertise the region will need as its healthcare sector continues to evolve. We look forward to doing meaningful work together.”
Wael K. Abdallah, Group Chief Executive Officer of Cambridge Health Group, said: “As healthcare systems across the region evolve, advancing specialised care will increasingly depend on our ability to connect research, clinical expertise and real-world healthcare needs. At Cambridge Health Group, we see research and innovation as important enablers of better care outcomes and the continued development of post-acute healthcare across the GCC. Our collaboration with Heriot-Watt creates opportunities to bring academic expertise closer to clinical practice, strengthen the capabilities of our workforce and contribute to the long-term advancement of the sector.”
The partnership represents a step towards translating research into practical advances in specialised care, with the potential to benefit patients, healthcare professionals and the wider sector.
Tech News
Leading AI Builders Make Massive Commitments on VAST-Powered Infrastructure
On the back of the biggest buildout in data infrastructure history, VAST Data, the AI Operating System company, today announced that it is at the center of many of the largest deployments in this space. In the first three quarters of the current fiscal year, just 14 of the more than 1,000 companies VAST serves have made more than $10 billion in aggregate commitments for VAST Data software and supporting platform hardware. The scale and breadth of these investments have no known precedent in the history of data infrastructure and signal that VAST is leading the world in this explosive buildout of superintelligent systems.
The VAST AI OS is the platform of choice for leading AI clouds and frontier AI labs to enable scalable AI training and inference. In 2026, the expansion of AI use cases and the realization of the value of superintelligent systems has reinforced the mandate for organizations to build with industrial-grade storage and database infrastructure to support GPUs and AI accelerators.
The progress VAST has made:
- 14 customers have each committed over $100M in VAST Data-powered system build outs
- Four of those 14 customers have each committed over $1B this year
- VAST Data-powered systems now support 9 of the top 10 frontier AI labs
“Growth at this scale only happens when an entire industry is rebuilding at once,” said Renen Hallak, Founder and CEO of VAST Data. “That’s what the new AI stack is. It’s being built for models and agents, not people and applications, and data sits at the center of it. The companies building it at the largest scale, for people, agents and now robots, are choosing VAST to anchor it.”
Supply Aligned Through 2029
The scale of data capacity VAST’s partners are delivering is unprecedented, and is now representing a significant percentage of the overall global NAND flash produced for enterprise data centers. At a time of such extreme supply chain pressure, VAST is also now taking steps to ensure the next phase of superintelligent system buildout. Increased flash supply takes years to bring online due to the investments in NAND fabs.
Because VAST is partnered with so many of the world’s AI builders, VAST has unique visibility into where capacity demand is headed. The company has structured agreements with its supply chain partners to align more than 200 exabytes of flash capacity through 2029. This forward planning supports VAST’s scaling objectives for the next several years, maps to the growth outlook of its largest customers and helps the AI clouds, labs, enterprises and government organizations building on the VAST AI OS plan their infrastructure with confidence.
“Planning for hundreds of exabytes isn’t only about protecting our customers’ growth projections,” said Jeff Denworth, Co-Founder of VAST Data. “It’s about keeping flash available to hundreds of clouds, so that every AI builder, not just the largest, has the capacity it needs to build and compete.”
Tech News
Cloudera to Tackle the Enterprise AI Governance Gap at GITEX Global 2026
Cloudera, the only data and AI platform trusted by organisations to bring AI to their data, announced its participation at GITEX Global 2026, the Middle East’s premier technology showcase.
As AI adoption accelerates across the Middle East, businesses must ensure their data is accessible, well governed, and secure to support AI advancements. Organizations who handle sensitive data carefully consider where AI workloads run and how data is managed across their public cloud, private cloud, and on-premises environments.
The UAE’s focus on sovereign AI and a secure digital environment is driven by nationwide digital-first initiatives. The UAE’s cloud computing market is projected to reach $23 billion by 2032, due to numerous government mandates for sovereign cloud adoption across the public sector.
Alongside these mandates, enterprises within the region are adopting similar sovereignty principles. Organizations are looking to transition their AI workloads from public clouds to private or on-premises environments. However, this migration exposes a critical infrastructure challenge as legacy systems often confine valuable information in isolated data silos.
The impact of these silos is evident in Cloudera’s recent Data Readiness Index, which reveals that while 91% of IT leaders across EMEA express confidence in their data, only 26% report that it is fully governed. To dismantle these barriers and bridge the gap between AI and data readiness, Cloudera introduces Cloudera Anywhere Cloud, a modular hybrid platform engineered specifically for the agentic era.
“Our participation at GITEX Global 2026 comes at a time when organisations are looking more closely at how they manage data and deploy AI,” said Ahmad Shakora, Group Vice President, Cloudera Middle East. “Our work with global technology providers and regional partners reflects the different requirements businesses face, from accessing AI models to managing data across hybrid and sovereign environments.”
To further strengthen its regional ecosystem, Cloudera has forged strategic alliances, including Mistral AI, to assist Cloudera with delivering the hybrid data foundation essential for moving enterprise AI into more organisations. Supported by Cloudera’s Anywhere Cloud platform, this new offering by Cloudera helps equip organizations in the Middle East with a secure, localized platform needed to scale advanced AI securely and independently.
Based on stand H15-E40, Hall No. S15, Cloudera will feature live demonstrations showing how enterprises can tackle persistent data governance and architectural challenges to allow organisations to utilise AI securely within their own organisations.
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