AI Operations and Deployment Checklist

This checklist assesses the organization's secure deployment practices, monitoring, access controls, and operational security for AI systems based on ISO 42001, CIS Controls, and NIST CSF frameworks.

Assessment Information

Organization Name:		Assessment Date:
Assessor Name:		Assessment Type:	Pre-Engagement / Post-Engagement

Compliance Status Legend

Status	Description
Compliant	The organization fully meets the requirements of the control.
Partially Compliant	The organization partially meets the requirements of the control.
Non-Compliant	The organization does not meet the requirements of the control.
Not Applicable	The control is not applicable to the organization's environment.

AI Operations and Deployment Controls

4.1 Secure AI Deployment Practices

Control ID	Control Description	Compliance Status	Evidence	Remediation
OPS-4.1	The organization has developed and implemented secure deployment procedures for AI systems, including configuration management, environment separation, and deployment verification.			Develop and implement secure deployment procedures for AI systems, including configuration management, environment separation, and deployment verification. Document the deployment process and ensure it is followed for all AI system deployments.

4.2 AI System Monitoring

Control ID	Control Description	Compliance Status	Evidence	Remediation
OPS-4.2	The organization has implemented continuous monitoring solutions for AI systems that detect security anomalies, unexpected behaviors, and performance issues.			Implement continuous monitoring solutions for AI systems that detect security anomalies, unexpected behaviors, and performance issues. Establish monitoring thresholds and alerting mechanisms for AI-specific metrics.

4.3 AI Access Controls

Control ID	Control Description	Compliance Status	Evidence	Remediation
OPS-4.3	The organization has established strong access controls for AI systems, including multi-factor authentication, role-based access, and privilege management.			Establish strong access controls for AI systems, including multi-factor authentication, role-based access, and privilege management. Implement the principle of least privilege for all AI system access.

4.4 AI System Logging

Control ID	Control Description	Compliance Status	Evidence	Remediation
OPS-4.4	The organization has implemented comprehensive logging for AI systems, including system operations, access attempts, and administrative actions.			Implement comprehensive logging for AI systems, including system operations, access attempts, and administrative actions. Ensure logs are securely stored and regularly reviewed for security anomalies.

4.5 Model Drift Detection

Control ID	Control Description	Compliance Status	Evidence	Remediation
OPS-4.5	The organization has established processes to detect and address model drift, including performance monitoring, statistical analysis, and remediation procedures.			Establish processes to detect and address model drift, including performance monitoring, statistical analysis, and remediation procedures. Implement automated monitoring for model drift and define thresholds for remediation actions.

4.6 AI Infrastructure Security

Control ID	Control Description	Compliance Status	Evidence	Remediation
OPS-4.6	The organization has developed and implemented secure configuration standards for AI infrastructure, including servers, networks, and cloud environments.			Develop and implement secure configuration standards for AI infrastructure, including servers, networks, and cloud environments. Regularly scan for configuration deviations and remediate identified issues.

Assessment Summary

Total Controls	Compliant	Partially Compliant	Non-Compliant	Not Applicable	Compliance Score
6	0	0	0	0	0%

Recommendations

Approval

Assessor Signature:		Date:
Client Signature:		Date: