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ai-voice-cloning

anything-llm

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

atomic-red-team

Small and highly portable detection tests based on MITRE's ATT&CK.

attack-control-framework-mappings

Security control framework mappings to MITRE ATT&CK provide a critically important resource for organizations to assess their security control coverage against real-world threats and provide a bridge for integrating ATT&CK-based threat information into the risk management process.

attack-flow

Attack Flow helps executives, SOC managers, and defenders easily understand how attackers compose ATT&CK techniques into attacks by developing a representation of attack flows, modeling attack flows for a small corpus of incidents, and creating visualization tools to display attack flows.

attack-scripts

Scripts and a (future) library to improve users' interactions with the ATT&CK content

attack-workbench-frontend

An application allowing users to explore, create, annotate, and share extensions of the MITRE ATT&CK® knowledge base. This repository contains an Angular-based web application providing the user interface for the ATT&CK Workbench application.

autogenstudio-skills

Repo of skills for autogenstudio

azure-design

My Azure stencil collection for Visio. Highly functional and always up to date.

azuread-attack-defense

This publication is a collection of various common attack scenarios on Microsoft Entra ID (formerly known as Azure Active Directory) and how they can be mitigated or detected.

categorized-adversary-ttps

Merge of two major cyber adversary datasets, MITRE ATT&CK and ETDA/ThaiCERT Threat Actor Cards, enabling victim/motivation-adversary-technique pivoting.

ciscontrols_oscal

A repository containing OSCAL serializations of the CIS Critical Security Controls

collector

⚖Open Source Toolkit for Conducting Quantitative Risk Assessment Interviews

controlcompass.github.io

Pointing cybersecurity teams to thousands of detection rules and offensive security tests aligned with common attacker techniques

crawlee

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

crewai

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

crewai-examples

cti-blueprints

CTI Blueprints is a free suite of templates and tools that helps Cyber Threat Intelligence analysts create high-quality, actionable reports more consistently and efficiently.

cyber-adversary-heatmaps

Intelligence around common attacker behaviors (MITRE ATT&CK TTPs), in the form of ATT&CK Navigator "layer" json files.

cyber-threat-profiling

A library of reference materials, tools, and other resources to aid threat profiling, threat quantification, and cyber adversary defense

docxtosource

A multi-platform application that is able to generate dotnet source code based on OpenXml based documents.

edge-tts

Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key

evaluator

⚖Open Source Toolkit for Quantitative Risk Assessment

genai-stack

Langchain + Docker + Neo4j + Ollama

goingmeta

code and resources used in the Going Meta sessions

gpt-pilot

The first real AI developer

gpts

leaked prompts of GPTs

insider-threat-ttp-kb

The principal objective of this project is to develop a knowledge base of the tactics, techniques, and procedures (TTPs) used by insiders in the IT environment. It will establish an Insider Threat TTP Knowledge Base, built upon data collected on insider threat incidents and lessons learned and experience from the ATT&CK knowledge base.

ism-oscal

Australian ISM in OSCAL format

ism-oscal-asd

A mirror of ISM OSCAL documents. The authoritative source can be found at https://www.cyber.gov.au/ism/oscal.