Artificial Intelligence Management System (AIMS)

As AI becomes part of everyday business operations, organizations need clear governance around how it is introduced, used, monitored and controlled.

AI systems should be:

• Secure and reliable
• Transparent and accountable
• Aligned with regulatory and compliance requirements
• Ethically governed
• Continuously monitored and managed

A structured AIMS framework helps reduce operational and security risk while building greater trust in AI-driven processes and decisions.

We help organizations establish practical governance structures that define how AI systems are developed, deployed, managed and monitored across the business.

Key areas / services include:

• AI governance policy development
• AI roles and responsibility definition
• AI lifecycle governance
• Risk ownership and accountability
• AI usage and access controls

We assess the potential security, compliance, operational, ethical and privacy risks associated with AI adoption so organizations can identify concerns early and plan the right controls.

Key areas / services include:

• AI model risk assessment
• Data privacy and security review
• Bias and ethical risk evaluation
• Third-party AI platform assessment
• Regulatory compliance evaluation

We help organizations create the policies, procedures and documentation needed to support responsible AI adoption and regulatory alignment.

Key areas / services include:

• AI acceptable use policies
• AI security and privacy policies
• Compliance readiness assessment
• Regulatory advisory support
• Documentation and reporting frameworks

AI platforms, infrastructure and data pipelines can introduce new cybersecurity risks. We help organizations assess the security posture of AI environments and identify areas where stronger controls are required.

Key areas / services include:

• AI infrastructure security review
• Data protection assessment
• Access management review
• Cloud AI security assessment
• Security control recommendations

We help organizations establish structured processes to manage AI systems throughout their lifecycle, from development and deployment to monitoring and continuous improvement.

Key areas / services include:

• AI development governance
• Model monitoring and validation
• Performance and risk tracking
• Change management
• AI system review and improvement

Organizations increasingly rely on external AI platforms, tools and service providers. We help assess third-party AI risk across security, compliance, data handling and operational dependency.

Key areas / services include:

• Vendor security review
• Data handling assessment
• Compliance verification
• AI service risk analysis
• Contractual and governance considerations

Build AI With Governance From Day One

eDefend helps organizations move from uncontrolled AI adoption to a more structured approach where governance, security, privacy, risk and compliance are built into how AI is used across the business.