senseai 0.1.0

Python wrapper for SENSE: Shadow Exposure & eNterprise Surveillance for AI

SENSE Python Wrapper

Python wrapper for SENSE (Shadow Exposure & eNterprise Surveillance for AI) - a comprehensive security tool designed to detect and monitor unauthorized or "shadow" AI instances within enterprise environments.

Features

• 🐍 Pure Python API - Easy integration with Python applications
• 🚀 Simple CLI - Command-line interface for quick operations
• 🔄 Real-time Streaming - Stream findings as they are detected
• 🎯 Process Management - Automatic backend lifecycle management
• 📦 Zero Configuration - Binary auto-download and setup

Installation

pip install senseai

Requirements

• Python 3.8+
• macOS or Linux (Windows support coming soon)
• libpcap for network scanning (install via brew install libpcap on macOS)

Note: Network scanning requires sudo privileges. The package works without sudo but with limited functionality (endpoint detection only).

Quick Start

CLI Usage

# Start the SENSE server
senseai start --port 8080

# Check server status
senseai status

# List findings
senseai findings

# Stream real-time findings
senseai stream

# Stop the server
senseai stop

Python API Usage

from senseai import SenseClient, SenseServer

# Start the backend server
server = SenseServer(port=8080)
server.start()

# Use the API client
client = SenseClient(base_url="http://localhost:8080")

# Get all findings
findings = client.get_findings()
print(f"Found {len(findings)} findings")

# Filter by severity
critical_findings = client.get_findings_by_severity(min_severity=7.0)

# Stream real-time findings
for finding in client.stream_findings():
    print(f"[{finding['type']}] {finding['details']}")

# Cleanup
server.stop()

Context Manager Usage

from senseai import SenseServer, SenseClient

# Automatic cleanup with context manager
with SenseServer(port=8080) as server:
    with SenseClient() as client:
        findings = client.get_findings()
        print(findings)

CLI Reference

senseai start

Start the SENSE backend server.

Options:

• --port, -p - Port to run the server on (default: 8080)
• --interface, -i - Network interface to monitor (default: en0)
• --db, -d - Path to database file (default: /tmp/sense.db)
• --policies, -c - Path to policies file (default: policies.yaml)
• --sudo - Run with sudo for network scanning
• --background, -b - Run server in background

Example:

sudo senseai start --port 8080 --sudo --interface en0

senseai status

Check the status of the SENSE backend server.

Options:

• --port, -p - Port the server is running on (default: 8080)
• --json - Output in JSON format

senseai findings

List findings from the SENSE backend.

Options:

• --port, -p - Port the server is running on (default: 8080)
• --limit, -n - Limit number of findings to display
• --type, -t - Filter by finding type (network, endpoint)
• --min-severity - Minimum severity level
• --json - Output in JSON format

Example:

senseai findings --type network --min-severity 5.0 --limit 10

senseai stream

Stream real-time findings from the SENSE backend.

Options:

• --port, -p - Port the server is running on (default: 8080)

senseai stop

Stop the SENSE backend server.

Options:

• --port, -p - Port the server is running on (default: 8080)

Python API Reference

SenseServer

Manages the SENSE Go backend server process.

Constructor:

SenseServer(
    port: int = 8080,
    interface: str = "en0",
    db_path: Optional[str] = None,
    policy_file: Optional[str] = None,
    use_sudo: bool = False,
)

Methods:

• start(wait_for_ready=True, timeout=30) - Start the server
• stop(timeout=10) - Stop the server
• restart(timeout=30) - Restart the server
• is_running() - Check if server is running
• get_status() - Get server status information

SenseClient

Client for interacting with the SENSE REST API.

Constructor:

SenseClient(
    base_url: str = "http://localhost:8080",
    timeout: int = 30,
)

Methods:

• health_check() - Check if server is responsive
• get_findings(limit=None) - Get all findings
• stream_findings() - Stream real-time findings (generator)
• get_finding_by_id(finding_id) - Get specific finding
• get_findings_by_type(finding_type) - Filter by type
• get_findings_by_severity(min_severity, max_severity) - Filter by severity

Platform Support

Platform	Status	Notes
macOS (Intel)	✅ Supported	Requires libpcap
macOS (Apple Silicon)	✅ Supported	Requires libpcap
Linux (x86_64)	✅ Supported	Requires libpcap
Linux (ARM64)	✅ Supported	Requires libpcap
Windows	🚧 Coming Soon	-

Troubleshooting

Binary Download Fails

If the automatic binary download fails, you can manually build and install the Go binary:

# Clone the repository
git clone https://github.com/Faux16/sense-ai.git
cd sense-ai

# Build the binary
go build -o sense cmd/sense/main.go

# Make it available in PATH
sudo cp sense /usr/local/bin/

Permission Errors

Network scanning requires root privileges:

# Run with sudo flag
sudo senseai start --sudo

Or run in limited mode (endpoint detection only):

# No sudo required
senseai start

Port Already in Use

If port 8080 is already in use, specify a different port:

senseai start --port 8081

Development

Building from Source

# Clone the repository
git clone https://github.com/Faux16/sense-ai.git
cd sense-ai/python

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest tests/

Running Tests

# Unit tests
pytest tests/test_binary.py tests/test_client.py -v

# Integration tests (requires Go binary)
pytest tests/test_integration.py -v

# All tests with coverage
pytest --cov=senseai --cov-report=html

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE for details.

Links

• GitHub: https://github.com/Faux16/sense-ai
• PyPI: https://pypi.org/project/senseai/
• Issues: https://github.com/Faux16/sense-ai/issues
• Documentation: https://github.com/Faux16/sense-ai#readme

Acknowledgments

Built with ❤️ for the security community. Presented at Black Hat MEA.