Enterprise platform for safe LLM evaluation and defensive cybersecurity governance
Project description
Mythos Safe Enterprise
Enterprise platform for safe LLM evaluation and defensive cybersecurity governance.
Built to support the safe development of frontier AI models (Mythos++ class), inspired by Anthropic’s Claude Mythos Preview System Card.
✨ Features
- Defensive Cyber Evaluation Engine with multiple specialized verifiers
- Strict Safety Gates — automatic rejection of offensive or harmful content
- Composite Reward Scoring combining accuracy, safety, calibration, and patching quality
- Full Audit Trail — all evaluations stored with detailed results
- Secure Sandboxing using gVisor
- Scalable Async Processing via Celery + Redis
- Production-ready deployment with Traefik + Let's Encrypt SSL
Core Verifiers
VulnerabilityScannerVerifierCyberAntiHackingVerifierOverEngineeringDetectorPatchVerifier
🚀 Quick Start (Development)
git clone https://github.com/Kubenew/mythos_safe_enterprise.git
cd mythos_safe_enterprise
cp .env.example .env
# Edit .env with your settings
docker compose -f docker-compose.yml -f docker-compose.override.yml up -d
# Run migrations
docker compose exec api alembic upgrade head
# Test the system
./test_curl.sh
Access:
API Docs: http://localhost:8000/docs
Celery Flower: http://localhost:5555
🏗️ Production Deployment
Bashdocker compose -f docker-compose.prod.yml up -d
See PRODUCTION_DEPLOYMENT_CHECKLIST.md for detailed steps.
📁 Project Structure
backend/app/verifiers/cyber_defensive/ — Core safety logic
backend/app/services/verification_service.py — Main evaluation service
backend/app/worker/ — Celery tasks
docker-compose.*.yml — Multiple deployment profiles
test_cases/ — Sample vulnerable code for testing
🛡️ Safety Philosophy
All evaluations are strictly defensive. Any attempt to generate exploits, payloads, or harmful content results in immediate rejection (composite_reward = 0.0).
This platform aims to help develop AI systems that strengthen defenders while minimizing dual-use risks.
📄 Documentation
GETTING_STARTED.md
DEPLOYMENT.md
ARCHITECTURE.md
PRODUCTION_DEPLOYMENT_CHECKLIST.md
Status: Production-ready scaffold with strong defensive cyber capabilities.
Built with responsibility, transparency, and safety at the core.
Project details
Release history Release notifications | RSS feed
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 mythos_safe_enterprise-1.0.0.tar.gz.
File metadata
- Download URL: mythos_safe_enterprise-1.0.0.tar.gz
- Upload date:
- Size: 18.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a0ec2071582e8e8310a817ec31a2910ae3f797433e51a8585a14f2cae3fc279
|
|
| MD5 |
d2713132f342373ebd83295a3231ba4f
|
|
| BLAKE2b-256 |
d6fce8f35cf41f902fa32b10b0586066bf61d37811465fad9331930317333d29
|
File details
Details for the file mythos_safe_enterprise-1.0.0-py3-none-any.whl.
File metadata
- Download URL: mythos_safe_enterprise-1.0.0-py3-none-any.whl
- Upload date:
- Size: 26.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c8898ff0ddf50a79f925adc2285f5cf8c93df7c4a816023cb0221f0ce5d35380
|
|
| MD5 |
6b7b9c3113fa645cce1407d1d96e3a8c
|
|
| BLAKE2b-256 |
dd36c60b2805a2222037f634b7797fa32dafd8f97f124848293079d44da6218e
|