As we speak we launched essentially the most consequential safety product in Cisco’s historical past: Cisco Hypershield. It’s a cloud-native, AI-powered method to extremely distributed safety for AI-scale information facilities that’s constructed into the material of the community.
It’s essentially the most radically completely different safety innovation I’ve been part of in my profession. A part of the Cisco Safety Cloud, Cisco Hypershield actually turns the community safety mannequin the wrong way up, bringing the ability of hyperscaler safety and connectivity to the enterprise.
Safety for the Age of AI
AI is ushering in an period of digital abundance. When each particular person in each job operate has AI assistants and organizations are transferring at machine scale, our world of 8 billion will really feel like we’ve got the capability of 80 billion.
To accommodate the extra digital capability required, our private and non-private information facilities are being reimagined. And Cisco is on the coronary heart of how information facilities are being reimagined: how they’re linked, how they’re secured, how they’re operated, and the way they’re scaled.
And information facilities are altering in two main methods. Infrastructure is altering: CPUs are being supplemented with GPUs and DPUs specializing in features like AI workload processing and I/O operations at throughput ranges that trendy AI-scale information facilities want. And purposes are altering: they’re being damaged into hundreds of microservices that run in several containers and clouds – extremely distributed, all speaking to one another.
On this new world, we have to reimagine safety at AI scale. And we have to do it now, as a result of this evolution of knowledge facilities and purposes isn’t ready for us.
How can we reimagine safety?
Billions spent on cyber safety, and we’re nonetheless falling behind in some ways.
The actual fact is, securing every little thing is tough. And the unprecedented scale of contemporary purposes, AI workloads, and units simply makes every little thing more durable. As an example, I used to be lately in India and the nation is rolling out 250 million good energy meters, every of which has the potential to be exploited. This is only one instance of scale that creates tactical challenges for securing every little thing. Think about the challenges:
- Segmentation is tough when purposes change into hyper-distributed and are frequently altering.
- Patching is tough as a result of it takes a very long time to check, schedule, and deploy a patch to take away a vulnerability. And it’s getting more durable to maintain up as a result of attackers are compressing the time between after they learn about a vulnerability to after they begin exploiting it; it’d take only a few days and even much less.
- Upgrades are laborious as a result of, like patches, they contain guide testing and deployment. Updrades are particularly laborious after they contain mission-critical infrastructure like an oil rig or a medical robotic, a few of which might’t even be upgraded.
Now, think about you had an answer that would perceive every little thing your purposes are doing. Then you could possibly have AI outline granular segmentation guidelines for you and preserve them up to date as issues evolve.
Think about you had a option to discover vulnerabilities and robotically protect them from being exploited. You’d be protected even earlier than you get the prospect to patch.
Think about your safety infrastructure may improve itself. You’d save numerous hours and eradicate the coordination and downtime of improve testing and deployment home windows.
We designed Cisco Hypershield to do all this and extra. It’s constructed for the age of AI, for the cloud, in software program, and with a distributed structure meaning you may put safety wherever it’s good to….within the cloud, within the information middle, on a manufacturing unit ground, or a hospital imaging room.
Cisco Hypershield is constructed on trendy constructing blocks like eBPF, {hardware} acceleration, and AI.
- Co-created by our new teammates from Isovalent together with Meta, eBPF permits a light-weight agent to see into the guts of the working system, with out truly being there. It sits within the person house however has a kernel-level impact. This provides Cisco Hypershield full visibility into each software program course of and each I/O operation your distributed purposes are operating in any Kubernetes container or VM. It’s the default mechanism for connecting and defending cloud-native workloads utilized by the hyperscalers.
- {Hardware} acceleration. Cisco Hypershield takes benefit of DPUs and different {hardware} accelerators in servers and different community infrastructure. This implies you may place high-performance safety management factors not simply in distributed containers and VMs, however in {hardware} that sits near the workloads they’re defending.
- By designing Cisco Hypershield from the bottom as much as leverage the ability of AI, it’s orders-of-magnitude extra autonomous than different safety options. With this AI-first focus in thoughts, we’re enthusiastic about our partnership with NVIDIA. We’re working collectively to co-create security-specific AI fashions, and we’re optimizing our Cisco Safety merchandise for NVIDIA’s know-how.
Bringing safety to the workloads
What the Cisco Hypershield structure delivers is a coordinated cloth of hundreds of distributed safety enforcement factors all through your total setting, throughout each private and non-private clouds. It brings safety to the workloads, not the opposite approach round.
And this structure permits us to do some really unbelievable use circumstances that weren’t doable till now, comparable to:
- Autonomous segmentation that attracts upon ongoing visibility of community flows, course of behaviors, and software adjustments to outline granular segmentation guidelines that may defend towards lateral motion. And as issues change over time, Cisco Hypershield refines and updates these guidelines dynamically.
- Distributed exploit safety that determines you probably have a high-risk vulnerability in your setting and delivers a compensating management that may be deployed to dam attackers from exploiting the vulnerability – earlier than you may have an opportunity to patch, and perhaps even earlier than in regards to the vulnerability.
- Self-qualifying upgrades that use a shadow information path to check upgrades and coverage adjustments towards a mirror of dwell site visitors, evaluate and make sure the outcomes utilizing AI, and transfer all of the flows to the newest model – all with none downtime.
I’m extremely excited in regards to the launch of Cisco Hypershield. I’m so pleased with our group for delivering this unbelievable innovation that may assist make the world a safer place.
To be taught extra about it, please learn Tom Gillis’ weblog in regards to the know-how and the important thing buyer use circumstances we’re fixing for. And preserve your suggestions coming!
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