Check Point Launches MHO 200 for AI Data Center Traffic
Check Point Software Technologies Ltd. introduced in a press release the Maestro Hyperscale Orchestrator 200, a firewall orchestration system for AI data centers, cloud providers, telecommunications companies, governments and enterprises. The MHO 200 is available in all regions through the company's product catalog.
The system provides 12.8 Tbps of total fabric capacity and up to 4.5 Tbps of threat prevention throughput in a 1RU unit. This is four times the fabric capacity and threat prevention throughput of the MHO 175. It also adds 400GbE ports.
The MHO 200 combines firewall models and generations into one system and can divide them into as many as eight independent security groups. It supports encrypted traffic inspection, automatic failover across two sites and live security updates without reboots. Check Point says it can identify and secure AI applications, large language models, agents and Model Context Protocol servers from the firewall.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Oct 29 Pluto Security finds cryptominers in Hugging Face model repositories Oct 29 Anthropic spent $2.75 million on Dario Amodei's security in 2025 Oct 29 Zhipu AI's GLM-5.3 completes complex cyberattacks in tests Oct 28 Cipher Finds Four Flaws in EPICS Control Software Oct 28 Google Unveils Gemini 4 Carbon, Its Next Frontier ModelMore from Data Centers
Oct 29 Culper Claims Cerebras Chips Fail Earlier Than Stated Oct 29 Bull Joins Czech AI Gigafactory Bid Oct 29 Telehouse Completes £220 Million London Site Acquisition for 65 MW Data Center Oct 29 Marvell in Advanced Talks to Buy Lumentum Oct 29 EdgeCore Raises $521 Million Against Silicon Valley Data CenterCybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Airoha Details 50G PON AI Gateway Processor
Huawei NG WAN Reaches Commercial Use at Over 60 Carriers
Check Point finds AI scaling antidetect browser fraud
Supermicro Expands OCP Portfolio for AI Data Centers
CTM and Huawei Plan AI Network Security Upgrades in Macao
Daily AI Brief: the AI news that matters, in your inbox.