CyberNeuro-RT was selected for its ability to deliver measurable, real-world impact by providing high-accuracy, low-power cybersecurity protection at the edge. Brainchip Limited Holding Co (ASX:BRN) LAGUNA HILLS, CA, UNITED STATES, April 16, 2026 /EINPresswire.com/ — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced that CyberNeuro-RT™ from Quantum Ventura’s spin-out, MetaGuard.AI has been recognized as a winner of the 2026 Enterprise AI Product of the Year Award by TMCnet. MetGuard.AI is an AI-native real-time threat intelligence solution powered by BrainChip’s Akida™ technology to extend real-time cyber-protection into access points for retail, small offices and enterprises. The Enterprise AI Product of the Year Awards honor technologies that are transforming how organizations operate, compete, and grow. CyberNeuro-RT was selected for its ability to deliver measurable, real-world impact by providing high-accuracy, low-power cybersecurity protection at the edge. The Urgent Need for Edge Defense in the Era of Frontier AI The emergence of “frontier” AI models, such as Anthropic’s Claude Mythos, has fundamentally altered the cybersecurity landscape. Mythos represents a striking leap in AI capability, demonstrating the ability to autonomously discover and exploit thousands of high-severity, zero-day vulnerabilities in major operating systems and web browsers. Because these advanced models can automate complex reconnaissance and multi-step attacks at scale, traditional reactive security measures and cloud-dependent defenses often face latency issues that leave critical infrastructure exposed. In this environment, edge AI protection becomes a critical necessity. By moving threat detection directly to the “point of acquisition” on devices like routers and industrial controllers, organizations can neutralize AI-driven exploits in real-time before they can penetrate deeper into the network. This local, on-chip intelligence ensures that even if a model as powerful as Mythos identifies a flaw, the defense is already active