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(This message was added in version 6.7.0.) in /home/mother99/jacksonholdingcompany.com/wp-includes/functions.php on line 6114Today we introduced the most consequential security product in Cisco\u2019s history: Cisco Hypershield. <\/strong>It\u2019s a cloud-native, AI-powered approach to highly distributed security for AI-scale data centers tha\u2026 Read more on Cisco Blogs<\/a><\/p>\n \u200b[[{“value”:”<\/p>\n Today we introduced the most consequential security product in Cisco\u2019s history: Cisco Hypershield. <\/strong>It\u2019s a cloud-native, AI-powered approach to highly distributed security for AI-scale data centers that\u2019s built into the fabric of the network.<\/p>\n It\u2019s the most radically different security innovation I\u2019ve been a part of in my career. Part of the Cisco Security Cloud, Cisco Hypershield literally turns the network security model upside down, bringing the power of hyperscaler security and connectivity to the enterprise.<\/p>\n AI is ushering in an era of digital abundance. When every person in every job function has AI assistants and organizations are moving at machine scale, our world of 8 billion will feel like we have the capacity of 80 billion.<\/p>\n To accommodate the additional digital capacity required, our public and private data centers are being reimagined. And Cisco is at the heart of how data centers are being reimagined: how they are connected, how they are secured, how they are operated, and how they are scaled.<\/p>\n And data centers are changing in two major ways. Infrastructure is changing: CPUs are being supplemented with GPUs and DPUs that specialize in functions like AI workload processing and I\/O operations at throughput levels that modern AI-scale data centers need. And applications are changing: they\u2019re being broken into thousands of microservices that run in different containers and clouds \u2013 highly distributed, all talking to each other.<\/p>\n In this new world, we need to reimagine security at AI scale. And we need to do it now, because this evolution of data centers and applications isn\u2019t waiting for us.<\/p>\n Billions spent on cyber security, and we are still falling behind in many ways.<\/p>\n The fact is, securing everything is hard.<\/strong> And the unprecedented scale of modern applications, AI workloads, and devices just makes everything harder. For instance, I was recently in India and the country is rolling out 250 million smart power meters, each of which has the potential to be exploited. This is just one example of scale that creates tactical challenges for securing everything. Consider the challenges:<\/p>\n Segmentation is hard <\/strong>when applications become hyper-distributed and are continually changing. Now, imagine you had a solution that could understand everything your applications are doing. Then you could have AI define granular segmentation rules for you and keep them updated as things evolve.<\/p>\n Imagine you had a way to find vulnerabilities and automatically shield them from being exploited. You\u2019d be protected even before you get the chance to patch.<\/p>\n Imagine your security infrastructure could upgrade itself. You\u2019d save countless hours and eliminate the coordination and downtime of upgrade testing and deployment windows.<\/p>\n We designed Cisco Hypershield to do all this and more. It is built for the age of AI, for the cloud, in software, and with a distributed architecture that means you can put security wherever you need to\u2026.in the cloud, in the data center, on a factory floor, or a hospital imaging room.<\/p>\n Cisco Hypershield is built on modern building blocks like eBPF, hardware acceleration, and AI.<\/p>\n Co-created by our new teammates from Isovalent along with Meta, eBPF <\/strong>allows a lightweight agent to peer into the heart of the operating system, without actually being there. It sits in the user space but has a kernel-level effect. This gives Cisco Hypershield full visibility into every software process and every I\/O operation your distributed applications are running in any Kubernetes container or VM. It\u2019s the default mechanism for connecting and protecting cloud-native workloads used by the hyperscalers. What the Cisco Hypershield architecture delivers is a coordinated fabric of thousands of distributed security enforcement points throughout your entire environment, across both public and private clouds. It brings security to the workloads, not the other way around.<\/p>\n And this architecture allows us to do some truly incredible use cases that weren\u2019t possible until now, such as:<\/p>\n Autonomous segmentation<\/strong> that draws upon ongoing visibility of network flows, process behaviors, and application changes to define granular segmentation rules that can protect against lateral movement. And as things change over time, Cisco Hypershield refines and updates these rules dynamically. I\u2019m incredibly excited about the launch of Cisco Hypershield. I\u2019m so proud of our team for delivering this incredible innovation that will help make the world a safer place.<\/p>\n To learn more about it, please read Tom Gillis\u2019 blog<\/a> about the technology and the key customer use cases we\u2019re solving for. And keep your feedback coming!<\/p>\n Read Tom Gillis\u2019 blog: Cisco Hypershield: A New Era of Distributed, AI-Native Security<\/a> “}]]\u00a0\u00a0Introducing Cisco Hypershield, a cloud-native approach to highly-distributed security for data centers that\u2019s AI-powered and built into the fabric of the network.\u00a0\u00a0Read More<\/a>\u00a0Cisco Blogs\u00a0<\/p>","protected":false},"excerpt":{"rendered":" <\/p>\n Today we introduced the most consequential security product in Cisco\u2019s history: Cisco Hypershield. <\/strong>It\u2019s a cloud-native, AI-powered approach to highly distributed security for AI-scale data centers tha\u2026 Read more on Cisco Blogs<\/a><\/p>\n \u200b[[{“value”:”<\/p>\n Today we introduced the most consequential security product in Cisco\u2019s history: Cisco Hypershield. <\/strong>It\u2019s a cloud-native, AI-powered approach to highly distributed security for AI-scale data centers that\u2019s built into the fabric of the network.<\/p>\n It\u2019s the most radically different security innovation I\u2019ve been a part of in my career. Part of the Cisco Security Cloud, Cisco Hypershield literally turns the network security model upside down, bringing the power of hyperscaler security and connectivity to the enterprise.<\/p>\n AI is ushering in an era of digital abundance. When every person in every job function has AI assistants and organizations are moving at machine scale, our world of 8 billion will feel like we have the capacity of 80 billion.<\/p>\n To accommodate the additional digital capacity required, our public and private data centers are being reimagined. And Cisco is at the heart of how data centers are being reimagined: how they are connected, how they are secured, how they are operated, and how they are scaled.<\/p>\n And data centers are changing in two major ways. Infrastructure is changing: CPUs are being supplemented with GPUs and DPUs that specialize in functions like AI workload processing and I\/O operations at throughput levels that modern AI-scale data centers need. And applications are changing: they\u2019re being broken into thousands of microservices that run in different containers and clouds \u2013 highly distributed, all talking to each other.<\/p>\n In this new world, we need to reimagine security at AI scale. And we need to do it now, because this evolution of data centers and applications isn\u2019t waiting for us.<\/p>\n Billions spent on cyber security, and we are still falling behind in many ways.<\/p>\n The fact is, securing everything is hard.<\/strong> And the unprecedented scale of modern applications, AI workloads, and devices just makes everything harder. For instance, I was recently in India and the country is rolling out 250 million smart power meters, each of which has the potential to be exploited. This is just one example of scale that creates tactical challenges for securing everything. Consider the challenges:<\/p>\n Segmentation is hard <\/strong>when applications become hyper-distributed and are continually changing. Now, imagine you had a solution that could understand everything your applications are doing. Then you could have AI define granular segmentation rules for you and keep them updated as things evolve.<\/p>\n Imagine you had a way to find vulnerabilities and automatically shield them from being exploited. You\u2019d be protected even before you get the chance to patch.<\/p>\n Imagine your security infrastructure could upgrade itself. You\u2019d save countless hours and eliminate the coordination and downtime of upgrade testing and deployment windows.<\/p>\n We designed Cisco Hypershield to do all this and more. It is built for the age of AI, for the cloud, in software, and with a distributed architecture that means you can put security wherever you need to\u2026.in the cloud, in the data center, on a factory floor, or a hospital imaging room.<\/p>\n Cisco Hypershield is built on modern building blocks like eBPF, hardware acceleration, and AI.<\/p>\n Co-created by our new teammates from Isovalent along with Meta, eBPF <\/strong>allows a lightweight agent to peer into the heart of the operating system, without actually being there. It sits in the user space but has a kernel-level effect. This gives Cisco Hypershield full visibility into every software process and every I\/O operation your distributed applications are running in any Kubernetes container or VM. It\u2019s the default mechanism for connecting and protecting cloud-native workloads used by the hyperscalers. What the Cisco Hypershield architecture delivers is a coordinated fabric of thousands of distributed security enforcement points throughout your entire environment, across both public and private clouds. It brings security to the workloads, not the other way around.<\/p>\n And this architecture allows us to do some truly incredible use cases that weren\u2019t possible until now, such as:<\/p>\n Autonomous segmentation<\/strong> that draws upon ongoing visibility of network flows, process behaviors, and application changes to define granular segmentation rules that can protect against lateral movement. And as things change over time, Cisco Hypershield refines and updates these rules dynamically. I\u2019m incredibly excited about the launch of Cisco Hypershield. I\u2019m so proud of our team for delivering this incredible innovation that will help make the world a safer place.<\/p>\n To learn more about it, please read Tom Gillis\u2019 blog<\/a> about the technology and the key customer use cases we\u2019re solving for. And keep your feedback coming!<\/p>\n Read Tom Gillis\u2019 blog: Cisco Hypershield: A New Era of Distributed, AI-Native Security<\/a>Security for the Age of AI<\/strong><\/h2>\n
How can we reimagine security?<\/strong><\/h2>\n
\nPatching is hard<\/strong> because it takes a long time to test, schedule, and deploy a patch to remove a vulnerability. And it\u2019s getting harder to keep up because attackers are compressing the time between when they know about a vulnerability to when they start exploiting it; it might take just a few days or even less.
\nUpgrades are hard<\/strong> because, like patches, they involve manual testing and deployment. Upgrades are especially hard when they involve mission-critical infrastructure like an oil rig or a medical robot, some of which can\u2019t even be upgraded.<\/p>\n
\nHardware acceleration. <\/strong>Cisco Hypershield takes advantage of DPUs and other hardware accelerators in servers and other network infrastructure. This means you can place high-performance security control points not just in distributed containers and VMs, but in hardware that sits close to the workloads they\u2019re protecting.
\nBy designing Cisco Hypershield from the ground up to leverage the power of AI, it\u2019s orders-of-magnitude more autonomous than other security solutions. With this AI-first focus in mind, we\u2019re excited about our partnership with NVIDIA. We are working together to co-create security-specific AI models, and we\u2019re optimizing our Cisco Security products for NVIDIA\u2019s technology.<\/p>\nBringing security to the workloads<\/strong><\/h2>\n
\nDistributed exploit protection<\/strong> that determines if you have a high-risk vulnerability in your environment and delivers a compensating control that can be deployed to block attackers from exploiting the vulnerability \u2013 before you have a chance to patch, and maybe even before you know about the vulnerability.
\nSelf-qualifying upgrades<\/strong> that use a shadow data path to test upgrades and policy changes against a mirror of live traffic, compare and confirm the results using AI, and move all the flows to the latest version \u2013 all without any downtime.<\/p>\nAdditional resources<\/strong><\/h3>\n
\nRead Craig Connor\u2019s blog: Cisco Hypershield: Reimagining Security<\/a>
\nRead the Press Release:\u00a0 Cisco Reimagines Security for Data Centers and Clouds in Era of AI<\/a><\/p>\nSecurity for the Age of AI<\/strong><\/h2>\n
How can we reimagine security?<\/strong><\/h2>\n
\nPatching is hard<\/strong> because it takes a long time to test, schedule, and deploy a patch to remove a vulnerability. And it\u2019s getting harder to keep up because attackers are compressing the time between when they know about a vulnerability to when they start exploiting it; it might take just a few days or even less.
\nUpgrades are hard<\/strong> because, like patches, they involve manual testing and deployment. Upgrades are especially hard when they involve mission-critical infrastructure like an oil rig or a medical robot, some of which can\u2019t even be upgraded.<\/p>\n
\nHardware acceleration. <\/strong>Cisco Hypershield takes advantage of DPUs and other hardware accelerators in servers and other network infrastructure. This means you can place high-performance security control points not just in distributed containers and VMs, but in hardware that sits close to the workloads they\u2019re protecting.
\nBy designing Cisco Hypershield from the ground up to leverage the power of AI, it\u2019s orders-of-magnitude more autonomous than other security solutions. With this AI-first focus in mind, we\u2019re excited about our partnership with NVIDIA. We are working together to co-create security-specific AI models, and we\u2019re optimizing our Cisco Security products for NVIDIA\u2019s technology.<\/p>\nBringing security to the workloads<\/strong><\/h2>\n
\nDistributed exploit protection<\/strong> that determines if you have a high-risk vulnerability in your environment and delivers a compensating control that can be deployed to block attackers from exploiting the vulnerability \u2013 before you have a chance to patch, and maybe even before you know about the vulnerability.
\nSelf-qualifying upgrades<\/strong> that use a shadow data path to test upgrades and policy changes against a mirror of live traffic, compare and confirm the results using AI, and move all the flows to the latest version \u2013 all without any downtime.<\/p>\nAdditional resources<\/strong><\/h3>\n
\nRead Craig Connor\u2019s blog: Cisco Hypershield: Reimagining Security<\/a>
\nRead the Press Release:\u00a0 Cisco Reimagines Security for Data Centers and Clouds in Era of AI<\/a><\/p>\n