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.
Open-source physical observability for robotics workcells: deterministic replay, verifiable incident evidence, and generated regression tests.
Ask your logs what happened. Evidence-based incident explanations from logs: no dashboards, no chat, no hallucinations.
An agent driven incident investigation platform
Deterministic replay and distributed incident forensics for first-failure and blast-radius analysis.
Structured investigation method: 5 Ws + 5 Whys with Bayesian reasoning, causal DAG traversal, and formal proofs. For any domain — engineering incidents, business failures, medical diagnosis, personal decisions.
AI incident analysis agent over logs and metrics with anomaly detection, correlation, root-cause analysis, and LLM-assisted reporting.
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.
AI-powered incident analysis system using LLMs, FAISS vector search, and structured remediation planning
Self-arguing multi-agent LLM system for cybersecurity incident analysis that treats disagreement and uncertainty as first-class outputs instead of forcing single verdicts.
Post-hoc claim analysis for multi-party records: accuracy verdicts, distortion flags, and a triage-framework mapping of each participant's reasoning
Unified Threat Informed Operations model framework, is an operation threat informed model for unify Incident response across 3 main domain of Management, Engineering and Operations.
From initial access to impact, this investigation report details my findings, methods, and lessons learned as a SOC Analyst during a mock incident-response investigation scoped for educational purposes based on the "Scanned Document 468" CTF by jirosgyros from https://github.com/jirosgyros/soc-ctf-scanned-document-468
🛡️ 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.
🕸️ 3- Distributed MCP-based platform for AI incident analysis, with structured communication and traceability to support AI governance, Responsible AI and ethics-by-design.
Audit and clean up Kilo cloud-session exports.
Cloud-native Incident- und Replay-Plattform zur auditierbaren Analyse, Nachverfolgung und Wiederholung verteilter Transaktionen in Banking- und Enterprise-Systemen, mit Fokus auf Observability, Sicherheit und Event-Driven Architecture.
L2-Contributions-Portfolio
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