ONI Academy - Educational platform for neurosecurity and brain-computer interface security concepts
Project description
ONI Academy
Educational Platform for Neurosecurity - Learn brain-computer interface security concepts through interactive modules and tutorials.
Status: Alpha. The core framework and interactive web tools are functional. Learning module content is a work-in-progress and will expand with future iterations. Contributions welcome.
Overview
ONI Academy is the educational arm of the ONI Framework project. It provides structured learning paths for understanding neural security concepts, from basic principles to advanced attack patterns.
Why ONI Academy exists: Neurosecurity concepts are not accessible. While building the ONI Framework, we identified a critical gap — the knowledge needed to secure BCIs is fragmented across academic papers and proprietary training. ONI Academy bridges that gap.
For the full vision and detailed documentation, see ONI_ACADEMY.md.
Quick Start
Installation
# Basic installation
pip install oni-academy
# Full installation (with interactive UI)
pip install oni-academy[full]
Usage
from oni_academy import list_modules, get_course
# See available learning modules
modules = list_modules()
print(modules)
# ['introduction', '14-layer-model', 'coherence-metric',
# 'neural-firewall', 'attack-patterns', 'nsam-monitoring']
# Get course content
intro = get_course("introduction")
print(intro['title'])
# "Introduction to Open Neurosecurity Interoperability"
CLI
oni-academy list # List available modules
oni-academy info intro # Get module information
oni-academy ui # Launch interactive UI
Package Ecosystem
| Package | Purpose | Install |
|---|---|---|
| oni-academy | Educational content, tutorials (this package) | pip install oni-academy |
| oni-framework | Core API library for BCI security | pip install oni-framework |
| oni-tara | Security monitoring & attack simulation | pip install oni-tara |
oni-framework is API-only — use it when building applications. ONI Academy is for learning.
Learning Modules
| Module | Description |
|---|---|
| Introduction | Threat landscape, why neurosecurity matters |
| 14-Layer Model | ONI architecture from silicon to cognition |
| Coherence Metric | Signal trust scoring (Cₛ formula) |
| Neural Firewall | Zero-trust validation at L8 |
| Attack Patterns | Threat modeling for BCIs |
| NSAM Monitoring | Real-time security assurance |
Interactive Tools (Web)
No installation required — explore these in your browser:
- Coherence Metric Playground
- ONI Layer Explorer
- NSAM Checkpoint Simulator
- Scale-Frequency Navigator
- ONI Threat Matrix
Documentation & Resources
Full documentation on GitHub:
| Resource | Description |
|---|---|
| ONI Academy Guide | Complete installation, learning paths, architecture |
| ONI Framework Wiki | Central hub — navigation, dependencies, roadmap |
| Interactive Demos | Browser-based learning tools (no install required) |
Related packages:
| Package | Purpose | Install |
|---|---|---|
| oni-framework | Core API library (for building apps) | pip install oni-framework |
| oni-tara | Security monitoring, attack simulation | pip install oni-tara |
License
Apache 2.0
ONI Academy — Lowering the barrier to entry for intellectually curious minds eager to shape the future of neural security.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file oni_academy-0.1.3.tar.gz.
File metadata
- Download URL: oni_academy-0.1.3.tar.gz
- Upload date:
- Size: 10.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a8c55852937f43e995c81df0c1d3532683ff08d076d4bf242a9c01ea660c7a38
|
|
| MD5 |
39c4a1b07962649758b3f39c6529c19c
|
|
| BLAKE2b-256 |
9c00f44beda8207b96235aa682d275c75b6df1a036f3b0b18424a7dc50b4ce9b
|
Provenance
The following attestation bundles were made for oni_academy-0.1.3.tar.gz:
Publisher:
publish.yml on qikevinl/ONI
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
oni_academy-0.1.3.tar.gz -
Subject digest:
a8c55852937f43e995c81df0c1d3532683ff08d076d4bf242a9c01ea660c7a38 - Sigstore transparency entry: 855109440
- Sigstore integration time:
-
Permalink:
qikevinl/ONI@eb711914fa372cd075f92351ba3822f3ed7c7732 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/qikevinl
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@eb711914fa372cd075f92351ba3822f3ed7c7732 -
Trigger Event:
workflow_dispatch
-
Statement type:
File details
Details for the file oni_academy-0.1.3-py3-none-any.whl.
File metadata
- Download URL: oni_academy-0.1.3-py3-none-any.whl
- Upload date:
- Size: 7.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
198a4cd4b819349177807b906d511a466b0db16faab076e3f5b6ac5c1e19ede3
|
|
| MD5 |
4808438429d658ee8eafc6f5cfa8bb51
|
|
| BLAKE2b-256 |
c05623c6ce0e0fb23989a954a31facc06e27de0482f210a34a402a7f983dda2d
|
Provenance
The following attestation bundles were made for oni_academy-0.1.3-py3-none-any.whl:
Publisher:
publish.yml on qikevinl/ONI
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
oni_academy-0.1.3-py3-none-any.whl -
Subject digest:
198a4cd4b819349177807b906d511a466b0db16faab076e3f5b6ac5c1e19ede3 - Sigstore transparency entry: 855109443
- Sigstore integration time:
-
Permalink:
qikevinl/ONI@eb711914fa372cd075f92351ba3822f3ed7c7732 -
Branch / Tag:
refs/heads/main - Owner: https://github.com/qikevinl
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@eb711914fa372cd075f92351ba3822f3ed7c7732 -
Trigger Event:
workflow_dispatch
-
Statement type: