AI Agents Threat Intelligence OSINT Space Security

Space Cyber Crew

An AI-driven multi-agent threat intelligence prototype designed to simulate how cyber and space-related signals can be transformed into structured analyst-ready output.

View GitHub View Architecture Sample Brief

Intelligence Feeds

Autonomous AI Agents

LIVE

Continuous Monitoring

// System Architecture

OSINT Sources RSS feeds, cyber advisories, satellite security reporting, space-related threat signals

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Collection Agent Ingests and organizes incoming intelligence signals from external open-source feeds

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Signal Filtering Agent Removes noise, prioritizes relevant activity, and highlights signals tied to cyber risk

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Threat Analysis Agent Analyzes patterns related to satellite infrastructure, ground systems, and communications exposure

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Intel Brief Generator Produces structured, analyst-ready intelligence summaries for review and decision support

// Capabilities

Automated Collection

Continuously gathers cyber and space-related intelligence signals from multiple open-source feeds.

Signal Prioritization

Filters noisy inputs and surfaces activity more likely to matter for satellite and communications security.

Threat Detection

Identifies suspicious cyber patterns relevant to space-ground infrastructure and mission-support systems.

Structured Briefing

Generates concise intelligence outputs that support analyst awareness and early warning workflows.

// Overview

Space Cyber Crew is an AI-driven threat intelligence pipeline designed to detect emerging cyber risks targeting satellite infrastructure and related communications systems.

The project collects open-source intelligence signals associated with ground stations, satellite networks, and critical cyber activity. Multiple AI agents then process, filter, and analyze these signals to identify patterns that may indicate elevated risk.

By combining OSINT collection with multi-agent analysis, Space Cyber Crew explores how automated intelligence workflows can support earlier detection, better prioritization, and analyst-ready reporting in space cybersecurity environments.

      "Space cyber defense requires faster signal detection, smarter prioritization, and analyst-ready intelligence before weak signals escalate into mission-level risks."
    

// Technology Stack

Python CrewAI OpenAI API RSS Feeds Markdown Reporting GitHub

// Sample Intelligence Output

Threat Signal Detected

Updated: 03:14 UTC

Reconnaissance Activity Affecting Space Communications Infrastructure

Multiple OSINT feeds indicate elevated scanning and reconnaissance behavior targeting infrastructure associated with satellite ground communications. Signal correlation suggests potential pre-attack mapping activity rather than routine background noise.

Priority: Medium-High
Affected Domain: Ground Station / Communications Layer
Action: Review exposed services and monitor follow-on activity

// Incoming Intelligence Signals

These sample signals represent the kinds of cyber and space-related reporting Space Cyber Crew is designed to monitor, filter, and transform into analyst-style threat intelligence output.

CISA Advisory

New vulnerability disclosure affecting internet-exposed network infrastructure

Potential relevance for ground systems and connected communications environments.

OSINT Monitoring

Unusual scanning activity observed against satellite support infrastructure

Pattern may indicate reconnaissance targeting externally exposed services.

Third-Party Risk Signal

Cyber incident reported at vendor supporting communications operations

Could introduce inherited exposure across downstream mission-support systems.

Space Sector Reporting

Discussion of cyber resilience gaps in satellite-ground communication chains

Highlights the need for earlier warning and better intelligence correlation.

// Try the Prototype

This interactive demo simulates how Space Cyber Crew transforms incoming cyber risk signals into a concise analyst-style threat brief.