Advanced Hybrid SIEM: Splunk + NVIDIA DGX
Published:
Architected a hybrid SOC pipeline integrating Splunk Enterprise with GPU-accelerated anomaly detection (NVIDIA RAPIDS) to detect APT lateral movement.
Published:
Architected a hybrid SOC pipeline integrating Splunk Enterprise with GPU-accelerated anomaly detection (NVIDIA RAPIDS) to detect APT lateral movement.
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A specialized AI-driven SOC analyst tool optimized for ARM64 architecture.
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Implementing real-time, automated firewall remediation on NVIDIA DGX (ARM64) architecture.
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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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An automated SOAR pipeline built on NVIDIA DGX (ARM64) hardware using Llama 3.2 and CrewAI to eliminate alert fatigue.
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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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Developing a deterministic enforcement layer for probabilistic agentic triage on NVIDIA DGX hardware.
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Stateless FastAPI DLP Gateway designed to sanitize PII from prompts before local LLM routing on NVIDIA DGX.
Published in Journal 1, 2009
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Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Published in Journal 1, 2010
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Published in Journal 1, 2015
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Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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