Yellow - AI, Machine Learning, and FOSS

AI, machine learning, free and open-source software, security datasets, research tooling, and lab-building resources.

Use this page for AI/ML learning, security research datasets, and free/open source software references. Keep detection engineering in Blue, lab building in Training, and operational tooling in the relevant Red/Blue/DFIR sections.

AI Tools

AI Tool Collections

• There's An AI For That - Broad AI tool catalog.

• Futurepedia - AI tool directory.

• AI Shrine - AI resource index.

Interesting AI Articles

• Should we be worried about malicious use of AI language models?

• ChatGPT in schools and universities

Prompt Crafting

• prmpts.carrd.co

FOSS - Free and Open Source Software

• Open Source Alternative To - Directory of open source alternatives to commercial tools.

Machine Learning for Security

Research Data

Good ML research starts with reliable data. Security datasets can also be useful for detection engineering, packet analysis, malware analysis, and training labs.

• Awesome Cybersecurity Datasets - Awesome list; duplicate is allowed under the guide's Awesome List exception.

• VizSec research datasets

• Splunk Security Dataset

• OTRF Security Datasets

• SecRepo - Security data samples.

• PCAP-ATTACK - PCAP samples for post-exploitation techniques.

• EVTX-ATTACK-SAMPLES - Windows event attack samples.

• Public PCAP files for download

• Splunk Boss of the SOC v3 dataset

• PhishingKitTracker - Phishing kit samples for security research.

Practice labs and generated SOC datasets are maintained in Training and Blue Defense.

Practice LabDetection Use Cases

Detection and Analytics References

• MITRE CAR - MITRE Cyber Analytics Repository. CAR has seen limited updates compared with newer ATT&CK-adjacent projects, so treat it as a useful reference rather than a complete current coverage map.

• soc-faker - Generates fake SOC and security automation data.

• Awesome Network Analysis

• Incremental Machine Learning by Example: Zeek, River, and JA3

• Applying Machine Learning to Network Anomalies

• Machine Learning Techniques for Intrusion Detection

• IT Security From The Eyes Of Data Scientists - Historical context.

• How Enterprises Can Use Big Data To Improve Security - Historical context.

Machine Learning Books

Machine Learning Books

• A Brief Introduction to Machine Learning for Engineers - Osvaldo Simeone.

• A Brief Introduction to Neural Networks

• A Comprehensive Guide to Machine Learning - Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang.

• A Course in Machine Learning

• A First Encounter with Machine Learning

• A Selective Overview of Deep Learning - Fan, Ma, and Zhong.

• Algorithms for Reinforcement Learning - Csaba Szepesvari.

• An Introduction to Statistical Learning - Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani.

• Bayesian Reasoning and Machine Learning

• Deep Learning - Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

• Deep Learning for Coders with fastai and PyTorch

• Deep Learning with PyTorch

• Dive into Deep Learning

• Explorations in Parallel Distributed Processing

• Foundations of Machine Learning, Second Edition

• Free and Open Machine Learning

• Gaussian Processes for Machine Learning

• IBM Machine Learning for Dummies

• Information Theory, Inference, and Learning Algorithms

• Interpretable Machine Learning

• Introduction to CNTK Succinctly

• Introduction to Machine Learning

• Keras Succinctly

• Learn Tensorflow

• Learning Deep Architectures for AI

• Machine Learning

• Machine Learning for Data Streams

• Machine Learning from Scratch

• Machine Learning, Neural and Statistical Classification

• Mathematics for Machine Learning - Garrett Thomas.

• Mathematics for Machine Learning - Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong.

• Neural Networks and Deep Learning

• Probabilistic Models in the Study of Language

• Python Machine Learning Projects

• Reinforcement Learning: An Introduction

• Speech and Language Processing, 3rd Edition Draft

• The Elements of Statistical Learning

• The LION Way: Machine Learning plus Intelligent Optimization

• Top 10 Machine Learning Algorithms Every Engineer Should Know

• Understanding Machine Learning: From Theory to Algorithms