Assurance over time
AI systems change. Your evidence should keep up.
Repeatable evaluation and regression testing that detects drift, control failures and new risk as the system evolves.
Why continuous
One assessment is a point in time.
Models, prompts, datasets, tools and application releases keep changing. Assurance must become part of the operating rhythm, not a one-off gate.
Models
Version changes can alter reasoning, refusal and factual behaviour.
Prompts
Small instruction changes can introduce new failure paths.
Data
Updated sources can change retrieval quality and exposure risk.
Tools
New capabilities expand what agents can access and execute.
Releases
Application changes can weaken previously effective controls.
Operating model
Evaluate. Compare. Investigate. Assure.
Baseline
Define requirements, scenarios and accepted behaviour.
Automate
Run repeatable evaluations against every material change.
Investigate
Review failures, regressions and unexpected behaviour.
Evidence
Maintain a current record for operational decisions.
Begin with evidence