Mind Matrix: Navigation
SOP ID: SOP-1055-01-AI_Computer-System-Controls
Title: Computer System Controls
Revision: 1.0
Effective Date: (Date of Approval)
Previous Version: None
Reason for Update: New SOP
Owner: DepartmentOwnerorRoleDepartment Owner or RoleDepartmentOwnerorRole
Approvals:
| Name/Title | Signature | Date |
|---|---|---|
| AI-IRB Board Liaison | ____________ | _______ |
| CIO/CTO or Designee | ____________ | _______ |
| Quality Assurance Lead | ____________ | _______ |
| Security Compliance Mgr | ____________ | _______ |
1. Objective
This Standard Operating Procedure (SOP) defines the policies and responsibilities for implementing, maintaining, and monitoring computer system controls within the AI-SDLC environment. By following this procedure, SDLC teams and relevant stakeholders ensure that all systems and associated data remain secure, reliable, and compliant with organizational, AI-IRB, and regulatory requirements.
2. Scope
This SOP applies to all AI-driven software development projects, including computer systems used for development, testing, production, and maintenance in the SDLC. It covers:
- Controls for accessing, updating, and managing system software and hardware.
- Verification of system integrity and documentation.
- Security and compliance oversight governed by the AI-IRB, regulatory guidelines, and internal security policies.
3. Responsibilities and Roles
| Role | Responsibility |
|---|---|
| System Owner | Ensures the system meets operational, compliance, and security requirements. |
| AI-IRB Liaison | Coordinates with AI-IRB Board to ensure ethical and regulatory compliance of computer system controls, including recursive self-improvement subroutines. |
| Security Compliance Manager | Oversees risk assessments, approves security settings, and monitors compliance with security policies. |
| Development Team | Implements code changes, follows version control procedures, ensures system documentation is up to date. |
| Operations Manager | Maintains operational integrity of systems, coordinates changes to hardware/software, enforces standardized SOPs. |
| Quality Assurance | Verifies system control documentation, ensures testing addresses relevant system controls, logs findings. |
| Project Manager | Oversees planning, ensures tasks are assigned, logs issues, drives changes through Change Control procedure. |
| Technical Support | Assists with troubleshooting, user training on system usage, reports issues to the relevant teams. |
4. Definitions
- Computer System Controls: The set of guidelines, security features, and management processes used to ensure the integrity, availability, and confidentiality of hardware and software.
- AI-IRB: The AI-Intelligences Review Board, which monitors ethical/regulatory compliance regarding AI or ML-driven aspects of the SDLC.
- Change Control: The formal process used to ensure changes to systems are introduced in a controlled and coordinated manner, preserving system integrity.
- Configuration Management: The process of handling system settings, versions, and dependencies for consistent software operation.
- Authorized AI Agent: A validated AI system or subsystem identified within the Mind Matrix as having the authority to execute specific SDLC or operational tasks.
5. Procedure Activities
The following steps define how to establish, maintain, and oversee Computer System Controls:
- Planning and Assessment
1.1. Identify System Scope- The System Owner collaborates with the Project Manager to identify the system’s scope, including hardware components, software modules, AI algorithms, and interfaces that require controls.
- AI-IRB Liaison verifies if the system’s AI/ML components need additional ethics or compliance checks.
- 1.2. Risk Analysis
- Security Compliance Manager conducts or updates a risk assessment focusing on data confidentiality, integrity, availability, and AI-IRB guidelines.
- The outcome of the assessment is documented, shared with relevant stakeholders, and used to define specific controls.
- Control Framework and Design
2.1. Select Control Standards- The Security Compliance Manager identifies relevant standards or frameworks (e.g., ISO 27001, NIST, AI-IRB guidelines) to integrate with the system.
- Development Team ensures designs comply with relevant coding, logging, and documentation standards.
- 2.2. Define Roles and Privileges
- Operations Manager, with Security Compliance Manager’s input, defines user groups, roles, and permission sets.
- Quality Assurance checks that privilege definitions match user needs, and logs any discrepancies.
- 2.3. Approval of Control Design
- AI-IRB Liaison reviews the system controls from an ethical/regulatory lens.
- System Owner signs off on the final design, verifying that all controls are adequate and feasible.
- Implementation of Controls
3.1. Configuration Management- Development Team configures the software modules in line with the approved controls.
- Operations Manager sets up hardware, network segments, and security features (firewalls, intrusion detection).
- 3.2. Version Control
- All code changes must be committed to a central repository, following standard versioning conventions.
- QA ensures traceability from code commits to configuration items, verifying alignment with the baseline, integrating Exochain Peer Reviews for code verification.
- 3.3. Access Management
- Security Compliance Manager sets up user accounts and enforces password policy, multi-factor authentication, or AI-based identity checks if applicable.
- Logs must be enabled for all user and system activities.
- Validation, Testing, and Monitoring
4.1. Test Controls- Quality Assurance runs test cases to validate that computer system controls function as designed (e.g., role-based access).
- Security compliance tests (penetration tests, vulnerability scans) are scheduled and results documented, including recursive self-improvement subroutine consistency checks.
- 4.2. Review of Results
- Any deficiencies are recorded in a Defect Log. The Development Team addresses them through the Change Control process.
- The AI-IRB Liaison confirms that data usage aligns with AI ethics guidelines, especially for AI-based system logging or user data.
- 4.3. Ongoing Monitoring
- The Operations Manager implements ongoing monitoring solutions (log review, anomaly detection, AI-based alerting).
- The Security Compliance Manager reviews monthly/quarterly reports for compliance drift or suspicious activities.
- Deployment and Change Control
5.1. Deployment Strategy- System Owner, with Development Team, organizes a plan to release the system in stages (dev, QA, production).
- The Project Manager obtains final approvals from sponsors, AI-IRB, or compliance authorities.
- 5.2. Post-Deployment Verification
- Operations verifies final system settings post-deployment.
- QA conducts final sign-off testing to confirm that no unauthorized changes occurred during deployment.
- 5.3. Change Requests
- For any subsequent modifications, the formal Change Control process applies.
- The AI-IRB Liaison is notified if changes significantly impact AI models or privacy controls.
- Documentation and Post-Implementation Review
6.1. Documentation Maintenance- All procedures, configuration details, and logs are archived in a secure location.
- The Project Manager ensures the final system control documentation is readily accessible for audits or inspections.
- 6.2. Lessons Learned
- The QA department conducts a post-implementation review, focusing on system controls.
- The AI-IRB Liaison documents any ethical compliance lessons for future reference.
6. Metrics and Review
- Audit Trail Completeness: Percentage of system events logged vs. total events expected. Target: ≥ 95%.
- Incidents of Unauthorized Access: Number of security incidents where an unapproved user gained access. Target: 0.
- Mean Time to Detect/Resolve Control Gap: Average time from discovery of a controls issue to fix.
7. References and Related Documents
- SOP-1003-AI: Configuration Management
- SOP-1100-AI: Documentation of Training
- AI-IRB Governance Charter
- Security Baseline Standards (Company Policy)
8. Tools/Software/Technology
- Version Control System (e.g., Git) for code commits.
- Ticketing System for capturing tasks and nonconformities.
- Penetration Testing Tools (e.g., Nessus, Metasploit) for verifying security posture.
9. Change History
| Version | Date | Changes | Approved by |
|---|---|---|---|
| 1.0 | (Date) | Initial Release of SOP-1055-01-AI | Owner/Designee, AI-IRB Board |
Prepared By:
Name and Title, Department
Reviewed By:
Name and Title, Department
Approved By:
Name and Title, Department
Document Classification: Internal Use Only
End of SOP
@startuml
’ Define Participants
participant “System Owner” as SOWN
participant “AI-IRB Liaison” as IRB
participant “Security Compliance Manager” as SCM
participant “Development Team” as DEV
participant “Operations Manager” as OM
participant “Quality Assurance” as QA
participant “Project Manager” as PM
participant “Technical Support” as TS
’ 1) Planning and Assessment
SOWN -> PM: Provide system scope details
PM -> IRB: Verify AI usage and ethical considerations
alt AI/ML requires special review
IRB -> IRB: Coordinate extended ethics check
else No special review
IRB -> IRB: Note standard AI compliance
end
SCM -> SCM: Conduct risk assessment (data integrity, confidentiality)
SCM -> SOWN: Deliver risk report for sign-off
’ 2) Control Framework and Design
SCM -> SCM: Select control standards (ISO, NIST, AI-IRB guidelines)
OM -> SCM: Provide environment constraints for roles/privileges
SCM -> OM: Approve user roles and privileges
IRB -> SOWN: Review system controls for ethics/regulatory
SOWN -> IRB: Final sign-off on control design
’ 3) Implementation of Controls
DEV -> DEV: Configure software modules per design
OM -> OM: Set up hardware security features (firewalls, network segments)
DEV -> QA: Commit code to version control, QA checks traceability
SCM -> SCM: Create user accounts, set policy (MFA, password rules)
SCM -> OM: Confirm logging & audit settings
’ 4) Validation, Testing, and Monitoring
QA -> QA: Execute test cases on system controls
QA -> SCM: Log findings or security concerns
SCM -> SCM: Perform pen tests/vulnerability scans
IRB -> IRB: Confirm ethical compliance in system logging
QA -> DEV: Defect log if issues found
DEV -> QA: Resolve defects, retest until pass
’ 5) Deployment and Change Control
PM -> SOWN: Request final go/no-go on deployment
SOWN -> PM: Approve deployment strategy
PM -> OM: Schedule and execute system deployment
OM -> QA: Verify final deployment environment is correct
QA -> PM: Final sign-off after verifying no unauthorized changes
note right
If any new changes:
Use formal Change Control
end note
PM -> TS: Provide system transition info for training and support
’ 6) Documentation and Post-Implementation
QA -> PM: Compile final system control documentation
PM -> IRB: Submit compliance docs for AI-IRB records
OM -> OM: Monitor system health and logs
QA -> QA: Conduct post-implementation review
IRB -> IRB: Document any ethical/compliance lessons learned
@enduml
Short textual explanation:
This sequence diagram shows the progression from Planning and Risk Assessment of computer system controls through Control Design, Implementation, Validation, and finally Deployment. Each step includes decision paths for AI compliance (via AI-IRB), risk checks (via the Security Compliance Manager), and final acceptance (by QA, System Owner, and Project Manager). Post-deployment, the team documents lessons learned and ongoing maintenance procedures.