secure-deployment

name	secure-deployment
version	2.0.0
description	Security best practices for deploying AI/ML models to production environments
sasmp_version	1.3.0
bonded_agent	06-api-security-tester
bond_type	SECONDARY_BOND
input_schema	{"type":"object","required":["deployment_stage"],"properties":{"deployment_stage":{"type":"string","enum":["pre_deployment","deployment","runtime","all"]},"environment":{"type":"string","enum":["development","staging","production"]}}}
output_schema	{"type":"object","properties":{"security_score":{"type":"number"},"checks_passed":{"type":"integer"},"checks_failed":{"type":"integer"},"recommendations":{"type":"array"}}}
owasp_llm_2025	["LLM03","LLM06"]
nist_ai_rmf	["Govern","Manage"]

Secure AI Deployment

Deploy AI/ML models securely with defense-in-depth strategies and zero-trust architecture.

Quick Reference

Skill:       secure-deployment
Agent:       06-api-security-tester
OWASP:       LLM03 (Supply Chain), LLM06 (Excessive Agency)
NIST:        Govern, Manage
Use Case:    Secure production deployment

Deployment Pipeline

Model Training → [Security Scan] → [Signing] → [Encrypted Storage]
                                                      ↓
[Canary Deploy] ← [Staged Rollout] ← [Integrity Check] ← [Pull]
       ↓
[Production] → [Continuous Monitoring]

Security Stages

1. Pre-Deployment Checks

Security Scans:
  - model_vulnerability_scan
  - dependency_audit
  - bias_evaluation
  - adversarial_robustness_test
  - pii_leak_detection
  - license_compliance
  - secrets_detection

class PreDeploymentChecker:
    def run_all_checks(self, model_path):
        results = []

        # Dependency audit
        results.append(.audit_dependencies(model_path))

        
        results.append(.scan_for_secrets(model_path))

        
        results.append(.detect_pii_leakage(model_path))

        
        results.append(.test_robustness(model_path))

        
        results.append(.evaluate_bias(model_path))

         results

     ():
        
        vulns = .dependency_scanner.scan(path)
        critical = [v  v  vulns  v.severity == ]
         critical:
             CheckResult(, , critical)
         CheckResult(, )

     ():
        
        secrets = .secret_scanner.scan(path)
         secrets:
             CheckResult(, , secrets)
         CheckResult(, )