BrainChip Provides Low-Power Neuromorphic Processing for Quantum Ventura’s Cyberthreat Intelligence Tool
BrainChip Holdings announced the integration of its Akida™ processor into Quantum Ventura's CyberNeuro-RT (CNRT) cybersecurity protection technology. The solution, developed in partnership with Lockheed Martin's MFC Division and Pennsylvania State University, is partially funded by the U.S. Department of Energy.
The integration leverages BrainChip's neuromorphic processing for on-chip learning in network-specific attack detection. Akida's key advantages include its small form factor and significantly lower power consumption compared to GPUs, making it suitable for internet-connected devices that traditionally remain unprotected.
The Akida processor can detect malware, attack signatures, and malicious activity by learning normal network traffic patterns. Its ability to learn on-device without cloud retraining allows quick adaptation to emerging threats. The technology operates in micro-watt to milli-watt power budgets, making it ideal for battery-operated or fan-less embedded edge devices.
BrainChip Holdings ha annunciato l'integrazione del suo processore Akida™ nella tecnologia di protezione informatica CyberNeuro-RT (CNRT) di Quantum Ventura. La soluzione, sviluppata in collaborazione con la Divisione MFC di Lockheed Martin e la Pennsylvania State University, è parzialmente finanziata dal Dipartimento dell'Energia degli Stati Uniti.
L'integrazione sfrutta l'elaborazione neuromorfica di BrainChip per l'apprendimento on-chip nella rilevazione di attacchi specifici alla rete. I principali vantaggi di Akida includono il suo formato ridotto e un consumo energetico significativamente inferiore rispetto alle GPU, rendendolo adatto per dispositivi connessi a internet che tradizionalmente rimangono privi di protezione.
Il processore Akida può rilevare malware, firme di attacco e attività dannose apprendendo i normali schemi di traffico di rete. La sua capacità di apprendere direttamente sul dispositivo senza necessità di riqualificazione nel cloud consente un rapido adattamento alle minacce emergenti. La tecnologia opera con budget energetici da micro-watt a milli-watt, rendendola ideale per dispositivi edge incorporati a batteria o senza ventola.
BrainChip Holdings anunció la integración de su procesador Akida™ en la tecnología de protección cibernética CyberNeuro-RT (CNRT) de Quantum Ventura. La solución, desarrollada en colaboración con la División MFC de Lockheed Martin y la Universidad Estatal de Pensilvania, está parcialmente financiada por el Departamento de Energía de EE. UU.
La integración aprovecha el procesamiento neuromórfico de BrainChip para el aprendizaje en chip en la detección de ataques específicos de la red. Las principales ventajas de Akida incluyen su pequeño formato y un consumo de energía significativamente más bajo en comparación con las GPU, lo que lo hace adecuado para dispositivos conectados a internet que tradicionalmente permanecen desprotegidos.
El procesador Akida puede detectar malware, firmas de ataque y actividades maliciosas aprendiendo patrones normales de tráfico de red. Su capacidad para aprender en el dispositivo sin necesidad de reentrenamiento en la nube permite una rápida adaptación a amenazas emergentes. La tecnología opera en presupuestos de energía que van de micro-watt a milli-watt, lo que la hace ideal para dispositivos edge integrados que funcionan con batería o sin ventilador.
브레인칩 홀딩스(BrianChip Holdings)는 아키다™ 프로세서(Akida™ processor)의 통합을 양자 벤투라(Quantum Ventura)의 사이버뉴로-RT(CyberNeuro-RT) 사이버 보안 보호 기술에 발표했습니다. 이 솔루션은 록히드 마틴의 MFC 부서 및 펜실베이니아 주립대학교와 협력하여 개발되었으며, 미국 에너지부의 부분적인 자금을 지원받고 있습니다.
이 통합은 네트워크 특화 공격 감지에서 온칩 학습을 위해 BrainChip의 신경형 처리 기술을 활용합니다. 아키다의 주요 장점은 소형 폼 팩터와 GPU에 비해 현저히 낮은 전력 소비를 포함하여, 전통적으로 보호되지 않는 인터넷 연결 장치에 적합합니다.
아키다 프로세서는 정상적인 네트워크 트래픽 패턴을 학습하여 맬웨어, 공격 서명 및 악의적인 활동을 감지할 수 있습니다. 클라우드 재교육 없이 디바이스에서 직접 학습하는 능력으로 새로운 위협에 빠르게 적응할 수 있습니다. 이 기술은 마이크로와트에서 밀리와트 전력 예산으로 작동하여 배터리 구동 또는 팬이 없는 임베디드 엣지 장치에 이상적입니다.
BrainChip Holdings a annoncé l'intégration de son processeur Akida™ dans la technologie de protection cybersécuritaire CyberNeuro-RT (CNRT) de Quantum Ventura. La solution, développée en partenariat avec la division MFC de Lockheed Martin et l'Université d'État de Pennsylvanie, est partiellement financée par le Département de l'énergie des États-Unis.
L'intégration tire parti du traitement neuromorphique de BrainChip pour l'apprentissage sur puce dans la détection des attaques spécifiques au réseau. Les principaux avantages d'Akida incluent son petit format et une consommation d'énergie significativement inférieure par rapport aux GPU, ce qui le rend adapté aux appareils connectés à Internet qui restent traditionnellement non protégés.
Le processeur Akida peut détecter les logiciels malveillants, les signatures d'attaque et les activités malveillantes en apprenant les modèles de trafic réseau normaux. Sa capacité à apprendre sur l'appareil sans besoin de réentraînement dans le cloud permet une adaptation rapide aux menaces émergentes. La technologie fonctionne avec des budgets d'énergie allant des micro-watts aux milli-watts, ce qui la rend idéale pour les appareils edge intégrés fonctionnant sur batterie ou sans ventilateur.
BrainChip Holdings hat die Integration seines Akida™ Prozessors in die CyberNeuro-RT (CNRT) Cybersecurity-Technologie von Quantum Ventura bekannt gegeben. Die Lösung, die in Zusammenarbeit mit der MFC-Abteilung von Lockheed Martin und der Pennsylvania State University entwickelt wurde, wird teilweise vom US-Energieministerium finanziert.
Die Integration nutzt die neuromorphe Verarbeitung von BrainChip für das On-Chip-Learning zur Erkennung netzspezifischer Angriffe. Zu den wichtigsten Vorteilen von Akida gehören sein kleines Format und der wesentlich geringere Energieverbrauch im Vergleich zu GPUs, was es für internetverbundene Geräte geeignet macht, die traditionell ungeschützt bleiben.
Der Akida-Prozessor kann Malware, Angriffssignaturen und bösartige Aktivitäten erkennen, indem er normale Netzwerkverkehrsmuster lernt. Seine Fähigkeit, auf dem Gerät ohne Cloud-Neu-Training zu lernen, ermöglicht eine schnelle Anpassung an neu auftretende Bedrohungen. Die Technologie arbeitet mit einem Energieverbrauch von Mikro- bis Milli-Watt und ist damit ideal für batteriebetriebene oder lüfterlose eingebettete Edge-Geräte.
- Integration into Quantum Ventura's cybersecurity product expands market presence
- Partnership with major players (Lockheed Martin, Penn State) under DOE funding
- Unique on-chip learning capability without cloud retraining requirement
- Significantly lower power consumption compared to GPU alternatives
- None.
Quantum
“CyberNeuro-RT is the only game in town for implementing managed cybersecurity support of edge devices that cannot rely on a central server to identify threats and attacks due to cost or power issues,” said Srini Vasan, President and CEO of Quantum Ventura. “Having the neuromorphic capabilities that BrainChip provides directly integrated into CNRT better allows for the detection of threats across multiple devices that otherwise would be vulnerable to exploitation.”
The implementation of Akida into CNRT is a direct result of BrainChip’s and Quantum Ventura’s previously announced partnership to develop state-of-the-art cyberthreat-detection tools for the
The Akida neural processor and AI IP can find unknown repeating patterns in vast amounts of noisy data, which is an asset in cyberthreat detection. Once Akida learns what normal network traffic patterns look like, it can detect malware, attack signatures, and other types of malicious activity. Because of Akida’s unique ability to learn on-device in a secure fashion, without need for cloud retraining, it can quickly learn new attack patterns, enabling it to easily adapt to emerging threats.
BrainChip IP supports incremental learning, on-chip learning, and high-speed inference with unsurpassed performance in micro-watt to milli-watt power budgets, ideal for advanced AI/ML devices such as intelligent sensors, medical devices, high-end video-object detection, and ADAS/autonomous systems. Akida is an event-based technology that is inherently lower power than conventional neural network accelerators, providing energy efficiency with high performance for partners to deliver AI solutions previously not possible on even battery-operated or fan-less embedded, edge devices.
“In today’s always-connected, always-on world, there is an increasing need for cybersecurity solutions that can thwart attacks through otherwise unsecure devices connected to the network,” said Sean Hehir, CEO of BrainChip. “We are proud of our work with Quantum Ventura to integrate threat detection using AI on a neuromorphic platform to provide high-quality protection against cybersecurity threats. Akida’s on-chip learning can adapt to new threats and redirects unknown threats to the cloud, providing faster and more cost-efficient analysis capabilities than otherwise possible.”
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning locally to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, for integration into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at https://www.brainchip.com.
About Quantum Ventura Inc.
Quantum Ventura Inc. is a Systems Integration, Environmental Technology Innovation, and Commercialization company with a single mission of delivering customer-centric advanced solutions for
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Source: BrainChip Holdings Ltd
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