Ethical AI MY – Security Requirements and Risk Management

This document establishes security standards and risk management requirements for AI systems. These standards address technical security, operational safeguards, and governance requirements necessary to protect systems, data, and stakeholders.

• Prevention First – Implement preventive measures before deployment
• Defense in Depth – Multiple overlapping security controls
• Transparency – Security measures documented and subject to review
• Accountability – Clear responsibility for security outcomes
• Continuous Improvement – Security practices evolve with threats

Standard: Personal and sensitive data must be protected against unauthorized access.

Implementation:

• Data classification by sensitivity level
• TLS 1.2+ for network communication
• Encryption of sensitive data at rest
• Secure key management and rotation
• Restricted access based on authorization
• Data minimization and retention policies
• Secure deletion procedures

Standard: Access must be restricted to authorized users through secure authentication.

Implementation:

• Multi-factor authentication for administrative access
• Role-based access control (RBAC)
• Audit logging of access decisions
• Secure credential management
• Appropriate session management
• Third-party access monitoring
• Privilege escalation controls

Standard: AI systems must be protected against technical vulnerabilities.

Implementation:

• Regular vulnerability scanning
• Timely patch management
• Secure development practices
• Dependency assessment and management
• Security-focused code review
• Integrated security testing
• Intrusion detection and monitoring
• Incident response procedures

Standard: AI model integrity must be protected from unauthorized modification.

Implementation:

• Version control and model tracking
• Training data provenance documentation
• Model validation before deployment
• Adversarial testing
• Performance monitoring
• Secure update procedures
• Rollback capability
• Supply chain security assessment

Standard: Computing infrastructure must be secured against attack.

Implementation:

• Network security (firewalls, segmentation)
• Server hardening
• Continuous monitoring and logging
• Backup and disaster recovery
• Physical security measures
• Cloud security assessment
• Container security
• Compliance with standards

Standard: Organizations must be prepared to respond to security incidents.

Implementation:

• Incident response plan
• Detection capabilities
• Investigation procedures
• Escalation pathways
• Communication planning
• Breach notification procedures
• Recovery procedures
• Post-incident review

Standard: External parties must meet security standards.

Implementation:

• Vendor security assessment
• Security requirements in contracts
• Access controls for vendors
• Vendor activity monitoring
• Data handling requirements
• Audit rights
• Secure offboarding

Before deployment:

1. Identify threats
2. Assess likelihood
3. Evaluate impact
4. Determine risk level
5. Prioritize risks
6. Document assessment

For identified risks:

1. Identify controls
2. Implement safeguards
3. Verify effectiveness
4. Monitor ongoing
5. Adapt controls
6. Document approach

• Quarterly vulnerability scans
• Annual penetration testing
• Security-focused code review
• Configuration review
• Access review
• Incident simulation exercises

• Independent assessment
• Compliance verification
• Vulnerability assessment
• Audit certification

1. Conduct risk assessment
2. Establish security policies
3. Implement controls
4. Build organizational capability
5. Test and validate
6. Monitor and maintain
7. Report and improve

Ethical AI MY – Security Standards and Risk Management

Version 1.0 | Release Date: 2026-06-01