Enabling Secure AI Inference: Trend Cybertron Leverages NVIDIA Universal LLM NIM Microservices

Building Secure Sovereign AI Factories

Trend Cybertron's integration with the universal LLM NIM microservice helps nations and enterprises build scalable, sovereign AI factories and agents.These innovations are critical enablers for locally controlled, self-improving, and secure AI systems. Trend's security domain expertise helps ensure that AI agents and models are not powerful, but safe, auditable, and resilient.

By leveraging NVIDIA NIM microservices, Trend is able to build robust AI-driven cybersecurity capabilities with the Cybertron LLM:

• Model Drift Monitoring: With fast deployment cycles enabled by the universal NIM microservice, we can monitor inference behaviors in production and retrain models using NVIDIA NeMo Data Flywheel, ensuring consistent accuracy over time.
• Zero Trust Inference: With NIM deployed on-premise, Cybertron can operate within zero-trust architectures where model inference is tightly controlled and auditable.
• RAG + Security LLMs: By integrating NIM with the AI-Q Blueprint, Trend can create AI agents that reason over security knowledge bases, telemetry logs, and threat intelligence in real-time.
• Rapid Experimentation: With backend-agnostic deployment, our security researchers can test new Cybertron variants instantly on NVIDIA infrastructure, improving time-to-response during live risks.

By combining NVIDIA's high-performance AI stack with Trend's domain expertise in cybersecurity, we are jointly enabling:

• Rapid deployment of secure, private LLMs
• End-to-end observability for AI agents handling sensitive data
• Adaptive, threat-aware AI systems capable of evolving with adversaries

With Trend Cybertron now deployable through universal NIM microservices, we're making cybersecurity faster, smarter, safer, and more proactive-bringing AI to the frontline of digital defense.