incident-classification

Taxonomies used in MISP taxonomy system and can be used by other information sharing tool.

A fault-tolerant events/alerts correlation engine

A GitHub action that organizes your post-mortems

Predictive Incident Management analyses large data sets to identify risk patterns, predict outcomes, and guide teams on effective decision-making.

Cybersecurity Data Mining Competition 2017

Blocking countries at the IPv4 and IPv6 level

The dataset is having incidents raised by customers.Which contains an event log of an incident management process extracted from a service desk platform of an IT company.Using this log data,I created a model that will predict and classify the impact as High Medium and Low. Model was built using Uber's Ludwig framework

Kenya Shilling Online

NLP and machine learning classification of cybersecurity incidents using TF-IDF, transformer embeddings, MITRE ATT&CK context, and ensemble models.

Multi-model NLP pipeline benchmarking Logistic Regression, XGBoost, and fine-tuned BERT across 100,000+ OSHA Severe Injury Reports (2015–2025). Classifies free-text narratives across 4 OIICS v2.01 axes with an operational confidence triage valve.