AI-Driven SOC Automation

🧠 AI-Driven SOC Automation

Welcome to my specialization page on AI-Driven Security Operations Center (SOC) Automation, where I blend my background in cybersecurity with cutting-edge AI tooling. This page documents my research journey, open-source projects, publications, and blog reflections.

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🔍 Why AI for SOC?

Modern SOCs face alert overload, analyst fatigue, and increasing attack complexity. My focus is on using LLMs to:

• Summarize and enrich alerts
• Automate triage and prioritization
• Reduce Mean-Time-To-Respond (MTTR)
• Enable intelligent decision support

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🚀 Key Projects

🔸 LLM-SOC-Agent

An intelligent SOC pipeline using DistilRoBERTa + LoRA for log enrichment, clustering, and alert contextualization.

🔸 Log Analyzer LLM

Exploration of log summarization using pretrained LLMs and prompting.

🔸 Log Anomaly Detection

Research experiments on 2024 datasets including IoTID20-Extended and LR-HR-DDoS2024.

🔸 AI-SOC Datasets

Preprocessed datasets for reproducible SOC experiments (CIC-IDS 2018, SOC-Sim).

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📑 Research & Publications

📝 In Progress:
LLM-Powered SOC Automation: Reducing MTTR with Context-Aware Agents
A 6-week study exploring LLM-based triage versus traditional SOAR rules.
→ GitHub Draft

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🗺️ Project Roadmap

• ✅ Specialization gap analysis
• 🚧 Build LLM-SOC-Agent v1.0
• 🚧 Evaluate LLM vs rule-based workflows
• 📄 Draft research paper
• 📦 Release open-source tooling
• 📝 Weekly LinkedIn content
• 🧪 Study adversarial LLM robustness

🔗 See full roadmap

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✍️ Blog Series

• From Alert Fatigue to Smart Triage: Behind LLM-SOC-Agent
• Unveiling LLM-SOC-Agent: Revolutionizing Security Operations with AI
• Coming soon: “Evaluating MTTR Impact in Real Logs”

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🔗 Recent LinkedIn Posts

• [From Cyber Defender to AI Innovator: My New Project is Live!] My goal with this project is to explore and develop AI-powered solutions that can automate, optimize, and enhance various aspects of cybersecurity, from threat detection and incident response to vulnerability management. Read on LinkedIn

• [Exciting News: Revolutionizing Security Operations with AI!] [We’re building a multi-agent security framework designed to act as an AI-driven SOC analyst.] Read on LinkedIn

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👥 AI-SOC Automation – Team Structure

This document outlines the team organization, roles, and responsibilities for the AI-SOC Automation project.

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🛡️ 1. AI Threat Intelligence Team

Name / Role	Description	Key Tasks
Lead Threat Analyst	Oversees threat research & taxonomy alignment	Build threat models, manage threat DB, publish intelligence reports
ML Threat Engineer	Translates threats into ML-friendly formats	Encode attack patterns, simulate threats, design synthetic log generators

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🧠 2. AI Engineering Team

Name / Role	Description	Key Tasks
AI Lead Architect	Designs AI pipelines and evaluation strategies	Define LLM tasks, model selection, pipeline integration
Prompt Engineer	Engineers and optimizes LLM prompts	Design multi-step prompts, few-shot examples, test prompt behavior
Evaluation Lead	Builds evaluation frameworks for LLM output	Design metrics, automated graders, evaluation reports

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🔧 3. System Engineering & Integration Team

Name / Role	Description	Key Tasks
DevOps Engineer	Deploys and monitors system pipelines	CI/CD setup, containerization, logging infrastructure
Integration Developer	Connects LLM pipeline with real-world SOC data	Build APIs, connectors for SIEM logs, API testing

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📊 4. Visualization & Reporting Team

Name / Role	Description	Key Tasks
Data Analyst	Designs and analyzes classification output	Generate charts, analyze performance over time
UI/UX Designer	Designs dashboards or simple visual interfaces	Create interfaces for reviewing triaged logs

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📁 5. Documentation & Coordination Team

Name / Role	Description	Key Tasks
Technical Writer	Maintains project documentation, READMEs, tutorials	Write README, API docs, usage instructions
Project Coordinator	Tracks progress, team sync, and timeline adherence	Standups, manage GitHub issues, maintain roadmap

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📌 Notes

• All members are expected to review and document their work via GitHub Issues and Pull Requests.
• The team works in agile sprints. Biweekly syncs are scheduled via shared calendar.

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🎙️ Talks & Media

🎤 Planning upcoming sessions on:

• “Automating SOC with LLM Agents” – Open Source Security Meetup
• “LLM vs SIEM: What’s Next for Security Analysts?” – (TBA)

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👣 Follow the Journey

🌐 GitHub Org: ai-soc-automation
🧠 Research Blog
🔗 LinkedIn Weekly Posts

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