Case Study

Cybersecurity Automation Agent

Category:

AI & Security Automation

Impact:

8 Weeks | $180K Annual Savings

Background

Security Operations Centers (SOCs) often rely on manual workflows for threat detection and response, leading to delays, analyst fatigue, and gaps in coverage. To address this challenge, I developed an automated cybersecurity agent using the n8n workflow automation system. The solution ingests live threat feeds, analyzes suspicious IPs, and executes responses autonomously, eliminating delays caused by manual reviews and ensuring 24/7 proactive security coverage.

Project Goals

Automate manual SOC workflows for faster detection and response
Reduce analyst workload by minimizing repetitive tasks
Ensure real-time, autonomous blocking and alerting
Improve accuracy and reliability of threat detection
Provide scalable and cost-efficient SOC automation

Our Approach

Threat Feed Integration

Collected and ingested external threat feeds via HTTP nodes.

Risk Scoring

Applied a multi-factor risk scoring algorithm to prioritize threats based on severity and confidence.

Decision Engine

Implemented a tiered routing mechanism for handling threats with varying levels of risk.

Automated Actions

Enabled blocking, alerting, and monitoring through automated n8n workflows.

System Reliability

Ensured error handling, redundancy, and failover mechanisms for continuous operation.

Key Results

Cut average response time from hours to under 60 seconds
Reduced SOC analyst workload by 70%
Processed 1,200+ threats/day with 95% detection accuracy
Achieved $180K annual savings through automation efficiencies

Technologies Used

n8n Workflow Automation

Python

REST/HTTP APIs

Risk Scoring Algorithms

Cloud Deployment Infrastructure