Mission Control for Your Operations

Practical DFIR and incident response playbooks covering phishing, malware, ransomware, insider threats, and cloud security incidents for SOC and IR teams.

Ask your logs what happened. Evidence-based incident explanations from logs: no dashboards, no chat, no hallucinations.

Self-arguing multi-agent LLM system for cybersecurity incident analysis that treats disagreement and uncertainty as first-class outputs instead of forcing single verdicts.

AI-powered incident analysis system using LLMs, FAISS vector search, and structured remediation planning

Universal root cause analysis framework using 5 Ws + 5 Whys. Graph traversal, Bayesian reasoning, causal inference, and information theory applied to structured problem solving. Works across engineering, security, medicine, business, and any discipline.

av-safety-parser extracts aviation incident details from unstructured text, outputting standardized data on incident type, aircraft, and risks.

Python + Power BI project analyzing ServiceNow IT incident data. Identifies SLA breaches, delay patterns, and workload inefficiencies using statistical validation (Z-Test, ANOVA) and interactive KPI dashboards.

issue-detection automation tool

As the Red Team, you will attack a vulnerable VM within your environment, ultimately gaining root access to the machine. As Blue Team, you will use Kibana to review logs taken during their Day 1 engagement. You'll use the logs to extract hard data and visualizations for an assessment report. The log data will be interpreted in order to suggest m…

error log analyzer and alert tool

A growing collection of structured TryHackMe walkthroughs as I train for SOC Analyst roles. Focused on enumeration, exploitation, and blue team techniques aligned with the SOC Level 1 path.

Applied incident response projects based on realistic security scenarios, focusing on analysis, response, and recovery using recognized incident response frameworks.

Comprehensive investigation and analysis of a simulated data breach at LifeLabs. This project demonstrates forensic investigation techniques, breach impact assessment, and recommendations for breach prevention and response.

🛡️ A comprehensive web application built with Next.js for conducting systematic risk evaluations and root cause analysis. Features multi-step forms for project data collection, potential hazard assessment, immediate and basic cause identification, and corrective action planning.

Stop AI hallucinations with evidence checks that block false claims and enforce verified before-and-after history

Forecasted support incident volumes using Holt-Winters and SARIMA models to identify seasonality, optimize resource planning, and improve operational readiness.

Solve problems with a universal framework that maps the 5 Ws and 5 Whys to find root causes across any domain

A PostgreSQL flight recorder that captures waits, locks, query fingerprints, and replication state into a rewindable timeline for incident forensics.