IntermediatePython

AiSOCOpen-Source AI-Driven Security Operations Center

AiSOC is an MIT-licensed, open-source AI-driven Security Operations Center (SOC) designed to streamline threat detection and response. Built with Python, it supports alert fusion, purple team exercises, agent-assisted classification, and MITRE ATT&CK investigations. It is self-hostable, helping teams automate security tasks and boost operational efficiency.

1.5K Stars

153 Forks

5 Issues

147 Views

Python

MIT

IndexedJuly 12, 2026

GitHub repository Online Demo

Project Overview

AiSOC is an open-source AI-driven Security Operations Center (SOC) licensed under MIT. It simplifies threat detection and response by leveraging AI and automation. Built with Python, it supports self-hosting, enabling teams to maintain full control over their security operations.

Key Features

Alert Fusion: Integrates alerts from multiple sources to reduce noise and improve actionable intelligence.
Purple Team Exercises: Facilitates collaboration between blue and red teams to test and enhance detection capabilities.
Agent-Assisted Classification: Uses AI agents to aid analysts in triage and prioritization of alerts.
MITRE ATT&CK Investigations: Aligns threat investigations with the MITRE ATT&CK framework.

Technology and License

The project is primarily developed in Python and released under the MIT License, allowing free use, modification, and distribution for both commercial and non-commercial purposes.

Getting Started

AiSOC is self-hostable. You can clone the repository from GitHub and follow the instructions in the README to install and configure the platform. This enables you to automate security tasks and tailor the SOC to your specific needs.

cybersecurityAI security operationsMITRE ATT&CKpurple teamingopen-source SOCPython security toolsalert fusionthreat detectionincident responseautomation

Sources & Verification

This entry is compiled and reviewed against the project’s primary sources:

Last verified:: July 12, 2026
Reviewed by:: SoFarBot Editorial Team

We confirm the project resolves to its real repository, classify it, and label its open-source license and language. Metrics such as stars and last commit reflect the upstream repository and are refreshed as it changes.

Project Rating

0.0 (0 Reviews)

Frequently Asked Questions

What is AiSOC: Open-Source AI-Driven Security Operations Center?

What language is AiSOC: Open-Source AI-Driven Security Operations Center written in?

AiSOC: Open-Source AI-Driven Security Operations Center is primarily written in Python.

What license is AiSOC: Open-Source AI-Driven Security Operations Center under?

AiSOC: Open-Source AI-Driven Security Operations Center is released under the MIT license.

Related Projects

No results yet

Explore More

Similar Tools

Digital Heals

We attempted to verify Digital Heals through its official site and web search. During our research the site did not load and no reliable public documentation was found, so we cannot describe its features. Please refer to the official site for accurate details.

BugDaddy

BugDaddy is an AI-powered GUI debugger that scans projects, detects real bugs, and auto-fixes them from a desktop app. It supports 30+ languages, offers three scanning modes, and includes diff preview. Currently 100% free to download and in public beta.

ZenVeil

ZenVeil is a developer-focused security tool that reduces the complexity of traditional security tools. It scans GitHub repositories, local codebases, and APIs for secrets, supply chain risks, and common security issues. AI-powered explanations and remediation guidance help prioritize findings, and fixes can be delivered via pull requests. Accessible through a web dashboard or CLI.

AuditMe

AuditMe is a code audit tool for AI-speed developers. It scans your GitHub repository and scores it for production readiness within 60 seconds. The report covers critical security issues, missing error handling, hardcoded secrets, no rate limiting, and more, ranked by severity with plain-English explanations. Each finding comes with a copy-ready code diff and a pre-written PR title and description to help fix issues quickly.

VibeCheck

VibeCheck captures screen recording, console logs, network calls, and environment details in two clicks, then shares a link so engineers see the full bug context.

Checkmarx Next-Gen SAST

Checkmarx Next-Gen SAST integrates three scanning layers into one engine: a battle-tested rules-based foundation, a purpose-tuned LLM covering any language including AI-generated code, and a new Finding Analysis Engine (FAE) that filters results to confirmed true positives — so developers see only what matters. Available now to all Checkmarx One customers as part of their existing subscription.