Maturity assessments offer a systematic approach to measuring the effectiveness, consistency, and adaptability of an organization’s cybersecurity and AI risk management capabilities. By evaluating core domains, such as governance, risk, asset management, monitoring, and incident response, these assessments provide a comprehensive snapshot of both operational strengths and areas requiring improvement. In the context of cybersecurity, maturity assessments align with frameworks like NIST CSF to enhance resilience, ensure regulatory compliance, and reduce exposure to cyber threats. Similarly, AI maturity assessments grounded in frameworks like the NIST AI RMF help organizations identify and mitigate risks related to bias, data integrity, model robustness, and ethical considerations. Together, these evaluations support informed decision-making, promote accountability, and lay the foundation for sustainable digital trust and responsible technology adoption.

At Assessed Intelligence, we view cybersecurity and AI evaluations through the lens of process and practice which represent two critical but distinct dimensions of organizational maturity. 

Process refers to the formal, documented policies, procedures, and governance structures that guide how tasks should be performed, such as incident response plans, access control frameworks, or AI model risk management protocols. These processes ensure consistency, accountability, and auditability across the organization.

Practice, on the other hand, reflects how these processes are actually carried out in day-to-day operations. It includes the behavior, skills, and consistency of personnel—whether teams follow secure coding practices, conduct fairness checks in AI models, or enforce access controls effectively.