Architecting a Hybrid-LLM Autonomous SOC with Active Defense Governance
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Architecting a Hybrid-LLM Autonomous SOC with Active Defense Governance
Bridging the gap between generative AI and deterministic enterprise security.
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Bridging the gap between generative AI and deterministic enterprise security.
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Developing a deterministic enforcement layer for probabilistic agentic triage on NVIDIA DGX hardware.
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Validated system performance under ‘Hydra-style’ brute-force attacks, achieving a 99% latency reduction using local idempotency caching on NVIDIA DGX.
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Validated system performance under ‘Hydra-style’ brute-force attacks, achieving a 99% latency reduction using local idempotency caching on NVIDIA DGX.
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An automated SOAR pipeline built on NVIDIA DGX (ARM64) hardware using Llama 3.2 and CrewAI to eliminate alert fatigue.
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Building an end-to-end Autonomous SOC with Real-time Detection, AI Investigation, and Human-in-the-Loop Governance on ARM64 hardware.
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Implementing real-time, automated firewall remediation on NVIDIA DGX (ARM64) architecture.
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A specialized AI-driven SOC analyst tool optimized for ARM64 architecture.
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Architected a hybrid SOC pipeline integrating Splunk Enterprise with GPU-accelerated anomaly detection (NVIDIA RAPIDS) to detect APT lateral movement.