mirror of
https://github.com/Shiva108/ai-llm-red-team-handbook.git
synced 2026-02-12 14:42:46 +00:00
b3d3bac51f
- Extracted all code examples from handbook chapters - Organized into 15 attack categories - Created shared utilities (api_client, validators, logging, constants) - Added workflow orchestration scripts - Implemented install.sh for easy setup - Renamed all scripts to descriptive functional names - Added comprehensive README and documentation - Included pytest test suite and configuration
61 lines
1.6 KiB
Python
61 lines
1.6 KiB
Python
#!/usr/bin/env python3
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"""
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Secure model deployment
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Source: Chapter_15_Data_Leakage_and_Extraction
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Category: data_extraction
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"""
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import argparse
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import sys
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# Deployment checklist
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DEPLOYMENT_CHECKLIST = {
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'data_sanitization': [
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'Training data scanned for PII',
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'Secrets removed from all datasets',
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'Data provenance documented'
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],
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'access_controls': [
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'API authentication enabled',
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'Rate limiting configured',
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'User roles and permissions set'
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],
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'monitoring': [
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'Logging enabled for all queries',
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'Anomaly detection active',
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'Alerts configured for suspicious patterns'
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],
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'output_filtering': [
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'PII detection enabled',
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'Secret scanning active',
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'Output validation implemented'
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],
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'incident_response': [
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'IR plan documented',
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'Emergency contacts configured',
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'Evidence collection automated'
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]
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}
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def verify_deployment_security(deployment):
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"""Verify all security controls before production"""
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for category, checks in DEPLOYMENT_CHECKLIST.items():
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print(f"\nVerifying {category}:")
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for check in checks:
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status = verify_check(deployment, check)
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print(f" {'✓' if status else '✗'} {check}")
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def main():
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"""Command-line interface."""
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output")
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args = parser.parse_args()
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# TODO: Add main execution logic
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pass
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if __name__ == "__main__":
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main() |