A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [BETA]
ueba 开源项目推荐(72 个)
ueba 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 72 个仓库Analysis of HTTP traffic and detection of anomalous user behavior in allowed actions. UEBA system.
Pentastic is a UEBA-based insider threat detection system that uses behavioral analysis, risk scoring, and deception techniques to detect and prevent malicious user activity in real time.
Anomaly detection and monitoring software
Outlines a scalable SOC optimization approach tailored for Palo Alto Networks Cortex XSIAM.
This repository contains scripts to carry out anomaly detection in the CLUE log data set.
Working white paper for OpenUBA
An end-to-end AI system for detecting insider threats using a hybrid machine learning approach (Isolation Forest + XGBoost). Features a high-performance ETL pipeline using DuckDB, real-time inference via FastAPI, and integrated Explainable AI (SHAP) for transparent risk assessment on the CERT R4.2 dataset.
🧠 Open-source UEBA that catches insider threats — behavioral baselines, ML anomaly detection & MITRE ATT&CK mapping. No enterprise license needed.
该项目在 GitHub 上没有填写描述
frontend, model registry, model search, and model marketplace for OpenUBA
Reproducible UEBA-style host anomaly detection with autoencoder scoring, calibrated thresholds, and JSONL reports.
SENTINEL is an immersive insider threat detection and training platform designed for security analysts, SOC teams, and IT professionals. Featuring a fully simulated UEBA (User and Entity Behavior Analytics) environment, interactive threat simulations, and comprehensive indicators of compromise (IOCs) library🔒👨🏿💻.
🥇 2025 PNU 캡스톤디자인 금상·인기상 — 모바일 엔드포인트 행동 분석 기반 Policy Engine (UEBA · Zero Trust NAC)
A digital immune system designed to detect and neutralize identity-based threats from within an organization
Login behavior anomaly engine (UEBA) using temporal, geo, velocity and device signals.
A conceptual architecture designed to make file-based malware attacks fundamentally impossible
Repurposing cybersecurity UEBA telemetry to sense affect and protect Flow in knowledge work — methodological contribution of a master's thesis (no participant data).
AI-aware DLP engine for semiconductor IP — multi-signal detection (regex, exact data match, document fingerprinting, ML classifier) fused by a policy engine into tiered responses, plus GenAI prompt guardrails and behavioral insider-risk analytics. Pure Python, zero dependencies.
Self-hosted application-audit, insider-risk, and agentic security-monitoring platform written in Rust.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/ueba。
- 该话题在 GitHub 上共有 72 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 654 Star,覆盖 8 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。