Cortex / Layer 03

Controls that are still true after go-live.

Controls expressed as code and evaluated continuously, so the evidence an authorizing official asks for accumulates while the system runs instead of being assembled at assessment time.

Framework
NIST AI RMF
Cadence
Continuous
Review
ATO · HIPAA · Clinical

What it delivers

NIST AI RMF alignment
Continuous evaluation
Red-teaming & drift monitoring
HIPAA & clinical governance

How it works

Compliance-as-Code, in four parts.

01

Controls are code, not attestations

A control expressed as code can be evaluated on every run. A control expressed as a document is true on the day it was written.

02

Evaluation gates the release

A model change re-runs the suite before it reaches a user, so a regression blocks the release instead of being discovered by one.

03

Red-teaming that does not stop

Adversarial testing and drift monitoring continue after the assessment closes, because the threat model does not pause when the paperwork is signed.

04

An audit trail nobody can amend

Prompt, retrieval, model version and response recorded where an operator cannot quietly revise them later.

What it produces

Evidence, as a by-product of running.

Control status
Evaluation history
Drift record
Model risk file

Bring us the workflow that has not survived review.

We will walk through how it would run, what evidence it would produce, and what it would take to field it.

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