Assurance Infrastructure
Assurance Infrastructure/Continuous Assurance
Continuous Assurance

Continuous assurance.

Replace episodic confidence with an operating system that continuously tests whether institutional claims remain true.

Complex systems change between review dates.

Software releases, model updates, data drift, vendor modifications, configuration changes, new users, and altered operating conditions can invalidate a control long before the next scheduled assessment.

Control telemetry and health indicators

Automated evidence collection

Thresholds and exception rules

Scheduled and event-driven testing

Change detection

Control-owner certification

Independent challenge queues

Issue aging and remediation tracking

Escalation and suspension triggers

Assurance dashboards and reporting

The evidence loop

Evidence must move with the system.

Each material claim connects to evidence, each item of evidence connects to a control or test, each exception connects to a responsible actor, and each response creates a reviewable record.

Repeated exceptions should change risk classification or deployment authority rather than disappear into reporting.

Reference basis

NIST AI RMF Playbook: regular monitoring is necessary because system performance and trustworthiness can drift after deployment; organizations should establish protocols for response and resource allocation.