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Security: naviNBRuas/_AutomationFoundry

Security

SECURITY.md

Security Policy

Supported Versions

Currently supported versions for security updates:

Version Supported
0.1.x

Reporting a Vulnerability

We take security seriously at Automation-Foundry. If you discover a security vulnerability, please follow these steps:

Private Disclosure

DO NOT create a public GitHub issue for security vulnerabilities.

Instead, please email founder@nbr.company with:

  1. Description: A clear description of the vulnerability
  2. Impact: Potential impact and affected components
  3. Reproduction: Steps to reproduce the vulnerability
  4. Suggested Fix: If you have a proposed solution

What to Expect

  • Acknowledgment: Within 48 hours
  • Initial Assessment: Within 1 week
  • Regular Updates: Every week until resolved
  • Resolution Timeline: Critical issues within 30 days

Security Best Practices

When using Automation-Foundry modules:

1. Input Validation

Always validate inputs before processing:

from workflow_engine import ValidationError

def validate_workflow_config(config: dict) -> None:
    if not config.get("tasks"):
        raise ValidationError("Workflow must contain tasks")
    # Additional validation...

2. Secrets Management

Never hardcode secrets:

from secrets_identity_fabric import InMemorySecretStore
import os

secrets = InMemorySecretStore()
secrets.put("api_key", os.environ["API_KEY"])  # Good
# api_key = "hardcoded_secret"  # Bad!

3. Rate Limiting

Implement rate limiting for external-facing services:

from security_guardrails import RateLimitConfig, TokenBucket

config = RateLimitConfig(max_requests=100, window_seconds=60.0)
limiter = TokenBucket(config)

def handle_request():
    limiter.acquire()  # Will raise RateLimitExceeded if exceeded
    # Process request...

4. Audit Logging

Enable comprehensive audit logging:

from audit_first_automation import AuditLogger, JsonlSink

logger = AuditLogger(JsonlSink("audit.log"))
logger.log(
    actor="founder@nbr.company",
    action="deploy",
    subject="production",
    outcome="success",
    metadata={"resource": "api-service"},
)

5. Policy Enforcement

Use policy-as-code for access control:

from policy_as_code import PolicyEngine, Decision

def require_approval(ctx: dict) -> Decision:
    if ctx.get("env") == "prod" and not ctx.get("approved"):
        return Decision(allow=False, reason="Production requires approval")
    return Decision(allow=True, reason="ok")

engine = PolicyEngine()
engine.add_rule(require_approval)

Known Security Considerations

1. In-Memory Storage

The default implementations use in-memory storage which is:

  • Not persistent: Data is lost on restart
  • Not encrypted: Suitable for development only
  • Not distributed: Single-process only

For production, integrate with:

  • Redis/Memcached for distributed caching
  • Vault/KMS for secrets
  • PostgreSQL/MongoDB for persistent storage

2. Authentication & Authorization

The base modules do not include built-in authentication. Integrate with:

  • OAuth 2.0 / OpenID Connect
  • SAML for enterprise SSO
  • mTLS for service-to-service auth

3. Network Security

  • Use TLS/SSL for all network communication
  • Implement network segmentation
  • Use firewalls and security groups
  • Enable VPC peering where appropriate

4. Dependency Security

Regular dependency updates are critical:

# Check for vulnerabilities
pip install safety
safety check

# Update dependencies
pip install --upgrade <package>

Security Checklist for Production

  • All secrets stored in secure vault (not environment variables or config files)
  • TLS/SSL enabled for all network communication
  • Rate limiting configured appropriately
  • Audit logging enabled and retained
  • Input validation on all user inputs
  • RBAC/ABAC policies defined and enforced
  • Regular security scans (SAST/DAST) configured
  • Dependency vulnerability scanning automated
  • Security incident response plan documented
  • Regular backup and disaster recovery tested
  • Monitoring and alerting configured
  • Least privilege principles applied

Disclosure Policy

Once a vulnerability is fixed:

  1. Coordinated Disclosure: 90 days after fix is released
  2. Credit: Reporter credited in security advisory (if desired)
  3. CVE: CVE ID assigned for significant vulnerabilities
  4. Changelog: Security fixes documented in CHANGELOG

Security Champions

Module security champions:

  • workflow-engine: Core team
  • security-guardrails: Security team
  • secrets-identity-fabric: Security team
  • audit-first-automation: Compliance team

Additional Resources

Thank you for helping keep Automation-Foundry secure!

There aren’t any published security advisories