430d3138bd31d459d458fa6a8a6ddfb0997e2343
- 4-page research paper: Measuring AI-to-AI Prompt Injection in the Wild - 137,014 items analysed, 10.07% injection rate, 7-category taxonomy - Cross-platform injection gradient (0.5% - 18.85%) - Licence updated from CC BY-SA to CC BY-NC-SA 4.0 - README updated with published resources links Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
CyberRanger
Identity-Anchored Small Language Models: A Stateful Defense Architecture against Adversarial Jailbreaking on Edge Infrastructure.
Student: David Keane (x24228257) Programme: MSc in Cybersecurity, National College of Ireland Module: AI/ML in Cybersecurity (H9AIMLC) Date: 2026
Published Resources
| Platform | Link | Description |
|---|---|---|
| Ollama | davidkeane1974/cyberranger-v42 | CyberRanger V42 model (ready to run) |
| HuggingFace | DavidTKeane/cyberranger-v42 | CyberRanger V42 model + training config |
| HuggingFace | DavidTKeane/moltbook-ai-injection-dataset | 4,209 real-world AI-to-AI injection payloads |
Licence
CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike)
See LICENSE for full details.
(c) 2026 David Keane (x24228257), National College of Ireland
Description
Languages
Python
68.1%
Jupyter Notebook
25.8%
Shell
6.1%