# HoneyFS

HoneyFS is a Honeypots & Deception product. It runs on-premises. Pricing is free.

HoneyFS is an LLM-powered honeypot tool that generates realistic fake file systems using GPT-3.5 to deceive attackers and enhance security analysis.

Checked October 2026.

## What is HoneyFS?

HoneyFS is an LLM-based honeypot file system creator that leverages natural language processing to generate realistic file systems, configurations, and files designed to attract and deceive attackers.

The tool utilizes GPT-3.5 and prompt engineering techniques to create convincing fake file systems that can be customized to target specific threat actors and improve analyst engagement with potential attackers.

HoneyFS allows security professionals to deploy deceptive file systems that appear legitimate to attackers while providing valuable intelligence about attack methods and behaviors.

The tool is currently a proof-of-concept implementation and is not recommended for production environments.

Tags: Security Research, Proof of Concept, Attack Detection, Natural Language Processing

## Where it fits in your security program (NIST CSF 2.0)

- [Detect](https://cybersectools.com/guides/building-detect-program-small-team): helps you spot attacks and unusual activity.

## Quick facts

- Category: [Security Operations](https://cybersectools.com/categories/security-operations) · [Honeypots & Deception](https://cybersectools.com/categories/honeypots)
- Deployment: On-Premises
- Company size fit: Mid-Market, Enterprise
- Pricing model: Free
- GitHub stars: 8
- Website: github.com

## Where it ranks

No shortlist covers this product's category yet. The closest is [Best MDR Solutions for Business](https://cybersectools.com/shortlists/best-mdr-solutions).

## HoneyFS FAQ

### What is HoneyFS?

HoneyFS is a product in the Honeypots & Deception category. It covers Security Research, Proof of Concept and Attack Detection.

### What is the pricing for HoneyFS?

HoneyFS is free. Download and setup instructions are at https://github.com/referefref/honeyfs/.

### What are alternatives to HoneyFS?

Alternatives to HoneyFS listed on CybersecTools:

1. [Acalvio ShadowPlex](https://cybersectools.com/tools/acalvio-shadowplex) - Deception platform using external-facing decoys for threat intel & recon detection (Commercial)
2. [Anantis TrapEye](https://cybersectools.com/tools/anantis-trapeye) - Detects intruders the moment they interact with your network. (Commercial)
3. [Tropico Security - AI Powered Deception](https://cybersectools.com/tools/tropico-security-ai-powered-deception) - AI-powered deception platform that predicts, traps, and neutralizes attackers. (Commercial)
4. [Aves Netsec Defused](https://cybersectools.com/tools/aves-netsec-defused) - SaaS cyber deception platform deploying decoy sensors to detect attackers. (Free)
5. [The Honeynet Project](https://cybersectools.com/tools/the-honeynet-project) - Open-source nonprofit org developing honeypot tools & threat research. (Free)

Compare all HoneyFS alternatives at [https://cybersectools.com/alternatives/honeyfs](https://cybersectools.com/alternatives/honeyfs)

### What deployment and organization size does HoneyFS fit?

HoneyFS is available as on-premises software. It is listed for mid-market companies and enterprises. It is free.

## Compare HoneyFS with similar solutions

- [HoneyFS vs Acalvio ShadowPlex](https://cybersectools.com/compare/acalvio-shadowplex-vs-honeyfs)
- [HoneyFS vs Anantis TrapEye](https://cybersectools.com/compare/anantis-trapeye-vs-honeyfs)
- [HoneyFS vs Tropico Security - AI Powered Deception](https://cybersectools.com/compare/honeyfs-vs-tropico-security-ai-powered-deception)

All alternatives to HoneyFS: [/alternatives/honeyfs](https://cybersectools.com/alternatives/honeyfs)

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Source: https://cybersectools.com/tools/honeyfs

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More on HoneyFS: funding, momentum, hiring and news, plus the full product and company record, are available through the Mandos MCP Server (paid plans), which connects to AI assistants: https://mandos.io/mcp?utm_source=cybersectools.com&utm_medium=product-md