Methodology / BIA-AF™

    A repeatable AI assurance methodology.

    BIA-AF™ combines human testing expertise, automated evaluation, adversarial testing, security testing, observability, and reproducible evidence into one independent workstream.

    01DISCOVER02BASELINE03ATTACK04VALIDATE05OBSERVE06EVIDENCE
    01

    DISCOVER

    Understand the system, users, architecture, data, tools, mission, and consequences of failure.

    02

    BASELINE

    Establish requirements, datasets, benchmarks, expected behavior, and acceptable thresholds.

    03

    ATTACK

    Conduct adversarial testing against the application, model, agents, retrieval, and tools.

    04

    VALIDATE

    Compare actual behavior against customer-defined requirements and intended use.

    05

    OBSERVE

    Assess monitoring, telemetry, tracing, regression testing, and production signals.

    06

    EVIDENCE

    Produce reproducible findings, risk information, recommendations, and retest results.