Check Point launches AI-scale security orchestrator 200

Check Point has launched the Maestro Hyperscale Orchestrator 200 for AI-scale network security, aimed at organisations dealing with rising volumes of encrypted traffic in data centres.

The new orchestrator adds 400GbE ports and increases total fabric capacity to 12.8 Tbps in a 1RU form factor. Threat prevention throughput reaches up to 4.5 Tbps per Maestro system, up from 1.1 Tbps on the previous MHO 175 model.

The launch comes as cloud providers, telecoms groups, government bodies and large enterprises face heavier data flows linked to AI training, inference and automated workloads. A growing share of that traffic now moves within data centres rather than across traditional network perimeters, increasing the volume of east-west traffic that security teams must inspect.

Much of this traffic is also encrypted, putting pressure on organisations that need to maintain inspection without adding delay. Some companies disable advanced threat prevention features to preserve network performance, while others buy more hardware than they routinely need to absorb spikes in throughput.

AI traffic

The Maestro platform is designed to let users combine firewall appliances from different models and generations into a single system. It can also be split into up to eight independent security groups, or policy domains, each with its own rules.

This differs from chassis-based systems tied to specific hardware. The platform is managed as a single object across a multi-firewall system, while its Agentic Network Security Orchestration tools automate policy tuning, health monitoring and compliance tasks.

Pete Finalle, Research Manager, Security and Trust at IDC, said the shift in traffic patterns is forcing organisations to reassess network security design inside the data centre.

"AI is forcing a rethink of network capacity planning. Training, inference and agentic workloads are driving east-west traffic inside the data centre to levels most security architectures were not designed for, and much of it is encrypted," said Pete Finalle, Research Manager, Security and Trust at IDC.

"Organisations should not have to choose between inspecting that traffic and keeping it moving. Security platforms that can scale threat prevention elastically, without overprovisioning hardware, will be essential for neoclouds, telcos and enterprises building AI infrastructure," Finalle said.

Product details

The MHO 200 is intended for enterprises modernising data centres, neocloud operators, GPU-as-a-service providers, colocation operators, telecoms groups protecting backbone networks and governments building sovereign AI systems.

Check Point also said 400GbE is becoming a standard for high-end data centres and AI-focused infrastructure. In that context, the MHO 200 is positioned as an upgrade for environments that need higher throughput within limited rack space.

Beyond raw capacity, the system includes automatic failover across two sites, supporting 99.999% uptime while keeping sessions live through failures, according to Check Point. It also includes live patching, allowing security updates to be applied without reboots or downtime.

For AI-specific use cases, the product can discover and secure AI applications, large language models, agents and Model Context Protocol servers directly from the firewall, Check Point said. For private and sovereign AI projects, its AI Factory Firewall integrates with NVIDIA BlueField data processing units.

Broader strategy

The product forms part of Check Point's wider AI security strategy. Earlier moves included the introduction of an AI Network Firewall focused on inspecting AI traffic and protecting AI applications, as well as Agentic Network Security Orchestration for automated network security operations.

Nataly Kremer, Chief Product Officer at Check Point Software Technologies, linked the launch to the demands created by larger and more complex network environments.

"AI is changing the scale at which networks need to be protected," said Nataly Kremer, Chief Product Officer at Check Point Software Technologies.

"We started by bringing AI security into the firewall, then added agentic automation to network operations. Now we are taking that protection to AI scale. Too many organisations are still forced to choose between performance and prevention. With the MHO 200, they can inspect all their traffic at AI speed, grow capacity as demand rises, and keep their operations running through failures," Kremer said.

Check Point also pointed to its position in Miercom's 2026 Hybrid Mesh Network Security Benchmark, where it said it ranked first with 99.8% security effectiveness for the fourth consecutive year.