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Quantum Ventura now has a wholly-owned subsidiary called MetaGuard AI (http://metaguard.ai/) to commercialise CyberNeuroRT. Srini Vasan, President and CEO of Quantum Ventura is also President & CEO of MetaGuard AI.
So it will technically be MetaGuard AI (and not Quantum Ventura as announced on the BrainChip CES 2026 website https://brainchip.com/ces-2026/) showcasing live demonstrations of CyberNeuroRT at BrainChip’s Venetian Tower Exhibit Suite in Las Vegas from January 6-9.
Jan 2, 2026 8:00 AM Eastern Standard Time
MetaGuard AI Debuts Defense-Grade Cybersecurity Platform at CES 2026 with Industry-First Full Source Code Access and BrainChip Neuromorphic Support
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Department of Energy (DOE) and Missile Defense Agency (MDA)-Funded AI-driven Cyberthreat management Platform Offers Zeek and Corelight Compatibility with Neuromorphic Edge Computing; Live Demonstrations at BrainChip Venetian Exhibit Suite 29-116, January 6-9; Available via Software Licensing or Managed Services.
SAN JOSE, Calif.--(BUSINESS WIRE)--MetaGuard AI, Inc., a wholly-owned subsidiary of Quantum Ventura Inc., will showcase CyberNeuroRT at the Consumer Electronics Show (CES) 2026, January 6-9 in Las Vegas. Attendees can experience live demonstrations of the Zeek and Corelight-compatible AI-driven real-time security platform.
CyberNeuroRT is the world’s first cybersecurity platform with a full source code licensing option for both enterprise deployments and neuromorphic edge versions, a unique combination in the cybersecurity market.
Developed through U.S. DOE (SBIR Phase 2) and MDA (SBIR Phase 1) federal funding, CyberNeuroRT brings defense-grade AI technology to commercial enterprises through flexible deployment options and unprecedented transparency. During the SBIR program, researchers from Penn State University’s Neuromorphic Computing Lab provided advanced neuromorphic ML models while cybersecurity specialists from the world’s largest Defense contractor provided a technical assessment of a custom CyberNeuroRT version in their air-gapped HPC environment.
"CES 2026 is the perfect venue to demonstrate how our Enterprise-scale ML models are adopted for ultra-efficient threat detection using BrainChip neuromorphic processors and how it transforms cybersecurity," said Srini Vasan, President & CEO at MetaGuard AI. “We invite attendees to visit us and see how CyberNeuroRT delivers in real-time."
"Bringing MetaGuard AI’s threat detection, CyberNeuroRT, solution to the efficient Akida platform shows how neuromorphic computing is reshaping cybersecurity from the edge to the enterprise,” said Sean Hehir, CEO of BrainChip.
CyberNeuroRT serves enterprises requiring AI-powered threat detection with transparency, including existing Zeek and Corelight users, regulated industries needing algorithmic accountability, government contractors, industrial IoT operators, and mid-market companies through managed services or flexible cloud/on-prem licensing models.
CyberNeuroRT Platform Capabilities:
Zeek and Corelight Integration: Adds multi-model ML inference to existing Zeek and Corelight deployments without infrastructure replacement.
Neuromorphic Optimization: Optimized for BrainChip Akida processors for ultra-low power edge deployment in industrial IoT and distributed environments.
Federal Validation: Competitive SBIR awards from the Department of Energy and Missile Defense Agency validate defense-grade capabilities.
Flexible Licensing: Appointed resellers in the Japanese, Indian, and U.S. regions offer Enterprise Standard, Enterprise Ultra, ML-X Standalone, and around-the-clock Managed-SOC-Services in the U.S., Japan, and Dubai time zones, with other regional market opportunities in development.
Full Source Code Access: The Enterprise Ultra license includes complete source code access, all ML models, training data, and the ML-X platform for building custom threat detection models, providing unprecedented algorithmic accountability for regulated industries.
Transparency Pioneer Program: The first 100 Enterprise Ultra customers receive up to 50% off licensing fees plus priority support. For details, contact inquiries@metaguard.ai. Conditions apply.
MetaGuard AI at CES 2026:
For product information, partnership inquiries, or managed service details, visit www.metaguard.ai or contact them at +1 (855) 246-5422 or inquiries@metaguard.ai.
- Where: Venetian Campus, BrainChip Exhibit Suite 29-116
- When: January 6, 7, & 9, 2026
- Demonstrations: 8 a.m. - 2 p.m. PT
- Schedule meetings:oncehub.com/CNRTatCES or +1 (855) 246-5422
About MetaGuard AI, Inc.: MetaGuard AI, Inc. is a cybersecurity company commercializing AI-driven threat detection developed with U.S. Department of Energy and Missile Defense Agency SBIR funding, Penn State research, and advisory support from the world’s largest Defense contractor. Its CyberNeuroRT platform offers Zeek and Corelight-compatible network threat detection via software licensing or managed services. For more information, visit www.metaguard.ai.
Contacts
Media Contact: Aaron Goldberg, SVP, MetaGuard AI, Inc.; Aaron@metaguard.ai, Direct +1 (408) 568-2157
CyberNeuroRT - Real-Time Threat Intelligence
Petabyte-scale, ML-powered network intrusion detection built for high-security enterprises and government sectors.metaguard.ai
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Quantum Ventura also have an office in Dubai now, where they are know as Quantum Guru (“Pioneering the future of AI, cybersecurity, and advanced technologies from Dubai to the world.”)
Quantum Guru: AI & Cybersecurity Solutions
QuantumGuru (Quantum Guru) is a global leader in AI, cybersecurity, and next-gen technologies. We deliver advanced R&D for government and private sectors, with flagship solutions like CyberNeuro-RT and ML-X.www.quantumguru.ai
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By the way, Lockheed Martin is not named as a partner for the government-funded CyberNeuroRT project, only Penn State is.
Instead, cybersecurity specialists from Lockheed Martin merely had an advisory role, cf. today’s Business Wire article above:
“Developed through U.S. DOE (SBIR Phase 2) and MDA (SBIR Phase 1) federal funding, CyberNeuroRT brings defense-grade AI technology to commercial enterprises through flexible deployment options and unprecedented transparency. During the SBIR program, researchers from Penn State University’s Neuromorphic Computing Lab provided advanced neuromorphic ML models while cybersecurity specialists from the world’s largest Defense contractor provided a technical assessment of a custom CyberNeuroRT version in their air-gapped HPC environment.”
and
“MetaGuard AI, Inc. is a cybersecurity company commercializing AI-driven threat detection developed with U.S. Department of Energy and Missile Defense Agency SBIR funding, Penn State research, and advisory support from the world’s largest Defense contractor.”
MetaGuard AI Debuts Defense-Grade Cybersecurity Platform at CES 2026 with Industry-First Full Source Code Access and BrainChip Neuromorphic Support | Aaron Goldberg
Pleased to be demonstrating the power of our IoT Network Intrusion Detection software on Brainchip’s Akida Edge Box at CES next week!www.linkedin.com
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MetaGuard AI Debuts Defense-Grade Cybersecurity Platform at CES 2026 with Industry-First Full Source Code Access and BrainChip Neuromorphic Support | Abhronil Sengupta
I am excited to share that our collaborative work on neuromorphic cybersecurity with Quantum Ventura and BrainChip officially debuted at #CES2026 this week. Happy to see our research being translated to prototype demonstrations. Thanks to U.S. Department of Energy (DOE) STTR funding for the...
Abhronil Sengupta, Associate Professor of EECS at Penn State, and his PhD student Malyaban Bal collaborated with Quantum Ventura on CyberNeuroRT and were co-authors of the 2022 paper “Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity”:
Clicking on “Discover our Solution” on the MetaGuard AI website (https://metaguard.ai/) will take you to another website titled “CyberNeuro RT Documentation”:
CyberNeuroRT
Real-Time AI-Driven Network Detection & Response
CyberNeuroRT is an advanced Network Detection and Response (NDR) platform designed to provide real-time visibility, AI-powered threat detection, and rapid response across enterprise and multi-tenant environments.By combining machine learning with neuromorphic spiking neural networks (SNNs), CyberNeuroRT enables security teams to detect known, unknown, and evolving cyber threats with low latency, high accuracy, and scalable performance.
CyberNeuroRT is built for organizations that require continuous network protection without increasing operational complexity.
Why CyberNeuroRT
Modern cyberattacks are fast, adaptive, and increasingly difficult to detect using signature-based tools alone. Attackers blend into normal traffic, exploit timing gaps, and evade traditional defenses.CyberNeuroRT addresses these challenges by focusing on behavior, timing, and intent, allowing threats to be detected as they emerge, not after damage occurs.
Key Benefits
- Real-time detection of active threats
- Behavioral analysis beyond static signatures
- Reduced alert fatigue through high-confidence detections
- Scalable, multi-tenant architecture
- Support for automated and analyst-driven response
What CyberNeuroRT Does
CyberNeuroRT continuously analyzes network traffic and applies multiple AI techniques in parallel to identify malicious behavior and operational risk.At a high level, the platform: 1. Observes network activity in real time
2. Applies AI-driven behavioral analysis
3. Correlates events across time and protocols
4. Delivers actionable intelligence to analysts
5. Supports rapid containment and response
AI-Powered Threat Detection
CyberNeuroRT uses a combination of supervised and unsupervised machine learning models together with neuromorphic SNN inference to identify threats that bypass traditional security tools.Instead of relying solely on signatures, CyberNeuroRT analyzes: - Traffic patterns
- Behavioral deviations
- Temporal correlations
- Communication intent
This approach enables reliable detection even when attackers modify tools, infrastructure, or techniques.
Threats CyberNeuroRT Is Designed to Detect
CyberNeuroRT’s AI models are trained to recognize a wide range of real-world attack behaviors commonly observed in enterprise networks, including:- Ransomware activity
Indicators such as anomalous encryption behavior, lateral movement, and command-and-control communication. - Credential and password-based attacks
Brute-force attempts, credential misuse, and abnormal authentication patterns. - Network scanning and reconnaissance
Probing behavior that often precedes exploitation and lateral movement. - Web application attacks
Including Cross-Site Scripting (XSS) and injection-based techniques targeting application-layer vulnerabilities. - Backdoor and persistent access mechanisms
Covert communication channels and unauthorized persistence behavior. - Denial-of-Service (DoS) and Distributed DoS (DDoS)
Volumetric and behavioral traffic anomalies intended to disrupt services.
Detection capabilities continue to evolve through controlled model retraining and intelligence updates.
Neuromorphic AI for Low-Latency Detection
CyberNeuroRT integrates neuromorphic spiking neural networks, inspired by biological neural systems, to enable:- Ultra-low latency inference
- Energy-efficient processing
- Resilient performance under high traffic volumes
Real-Time Visibility & Analyst Experience
CyberNeuroRT provides a real-time analyst dashboard that enables teams to:- Monitor evolving threats continuously
- Investigate suspicious activity with context
- Access historical network data for forensic analysis
- Re-run analysis on stored traffic when required
Automated & Analyst-Controlled Response
CyberNeuroRT supports both automated remediation and human-in-the-loop response, allowing organizations to balance speed and operational control.Response actions may include: - Traffic isolation
- Blocking malicious communication paths
- Analyst-approved containment workflows
This approach enables rapid threat containment while minimizing operational risk.
Built for Scale & Multi-Tenant Environments
CyberNeuroRT is architected for enterprise and service-provider deployments, with strict isolation across tenants.Key design principles include: - Tenant-level data separation
- Scalable streaming and analytics pipelines
- Predictable performance under high load
This makes CyberNeuroRT suitable for large enterprises, MSSPs, and distributed organizations.
Security & Zero Trust Alignment
CyberNeuroRT is designed to integrate with Zero Trust architectures and modern security frameworks.Core security principles include: - Strong authentication and authorization
- Encrypted communication
- Role-based access control
- Least-privilege enforcement
This reduces attack surface and supports secure remote and hybrid access models.
Who CyberNeuroRT Is For
CyberNeuroRT is ideal for organizations that require high-confidence, real-time network defense, including:- Enterprise Security Operations Centers (SOC)
- Managed Security Service Providers (MSSPs)
- Critical infrastructure operators
- Regulated industries
- Organizations adopting Zero Trust architectures
What’s Next
If you are new to CyberNeuroRT, the recommended next steps are:- Review the Installation guide to deploy sensors and services
- Follow the Usage section to explore detection and dashboards
- Refer to API Documentation for integrations and automation
- Use Troubleshooting for common operational questions
CyberNeuroRT is designed to grow with your environment — delivering continuous visibility, intelligent detection, and confident response as threats evolve.
