Right this moment 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 knowledge facilities that’s constructed into the material of the community.
It’s essentially the most radically totally 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 facility 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 shifting at machine scale, our world of 8 billion will really feel like we have now the capability of 80 billion.
To accommodate the extra digital capability required, our private and non-private knowledge facilities are being reimagined. And Cisco is on the coronary heart of how knowledge facilities are being reimagined: how they’re linked, how they’re secured, how they’re operated, and the way they’re scaled.
And knowledge facilities are altering in two main methods. Infrastructure is altering: CPUs are being supplemented with GPUs and DPUs specializing in capabilities like AI workload processing and I/O operations at throughput ranges that trendy AI-scale knowledge facilities want. And purposes are altering: they’re being damaged into hundreds of microservices that run in numerous 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 information 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 very fact is, securing all the things is tough. And the unprecedented scale of contemporary purposes, AI workloads, and gadgets simply makes all the things tougher. As an illustration, I used to be lately in India and the nation is rolling out 250 million sensible energy meters, every of which has the potential to be exploited. This is only one instance of scale that creates tactical challenges for securing all the things. Contemplate the challenges:
- Segmentation is tough when purposes change into hyper-distributed and are regularly 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 tougher to maintain up as a result of attackers are compressing the time between once they learn about a vulnerability to once they begin exploiting it; it would take just some days and even much less.
- Upgrades are onerous as a result of, like patches, they contain handbook testing and deployment. Updrades are particularly onerous once 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 might perceive all the things your purposes are doing. Then you possibly can have AI outline granular segmentation guidelines for you and maintain them up to date as issues evolve.
Think about you had a approach to discover vulnerabilities and routinely defend 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 get rid of 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’ll be able to put safety wherever you might want to….within the cloud, within the knowledge middle, on a manufacturing facility flooring, 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 look into the center of the working system, with out truly being there. It sits within the consumer area 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 working 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’ll be able to 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 facility 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 complete atmosphere, throughout each private and non-private clouds. It brings safety to the workloads, not the opposite manner round.
And this structure permits us to do some really unimaginable use circumstances that weren’t attainable till now, reminiscent of:
- Autonomous segmentation that attracts upon ongoing visibility of community flows, course of behaviors, and utility modifications to outline granular segmentation guidelines that may shield in opposition to lateral motion. And as issues change over time, Cisco Hypershield refines and updates these guidelines dynamically.
- Distributed exploit safety that determines when you have a high-risk vulnerability in your atmosphere and delivers a compensating management that may be deployed to dam attackers from exploiting the vulnerability – earlier than you could have an opportunity to patch, and possibly even earlier than you realize concerning the vulnerability.
- Self-qualifying upgrades that use a shadow knowledge path to check upgrades and coverage modifications in opposition to a mirror of dwell visitors, evaluate and make sure the outcomes utilizing AI, and transfer all of the flows to the most recent model – all with none downtime.
I’m extremely excited concerning the launch of Cisco Hypershield. I’m so pleased with our staff for delivering this unimaginable innovation that can assist make the world a safer place.
To be taught extra about it, please learn Tom Gillis’ weblog concerning the know-how and the important thing buyer use circumstances we’re fixing for. And maintain your suggestions coming!
Extra assets
Share:
