What is evidence-grounded generation?

Evidence-grounded generation means producing an authorization artifact so that every statement in it traces to a fact in the authorization record, and every fact that rests on evidence traces to that evidence and its ingest source and date. The test is whether you can point at a sentence in the generated SSP and follow it back to what makes it true, in the product, without searching. A generated sentence with no traceable source is a sentence nobody can defend under assessment.

Is AI-generated documentation evidence-grounded?

Not by default, and model-drafted narrative is the most dangerous grade precisely because it reads better than the alternatives while being less defensible than any of them. A model can be part of an evidence-grounded workflow — drafting a proposal that carries the passage or fact it was drawn from, which an authorized practitioner then accepts or rejects — but the output only becomes part of the record when a person accepts it, and it retains the provenance of that acceptance.

How do you test whether a tool generates evidence-grounded artifacts?

Ask for three things in a live product, not a slide. First, point at any sentence in a generated SSP and trace it back to the fact behind it. Second, from that fact, reach the evidence that supports it, including where the evidence came from and when. Third, change the underlying fact, regenerate, and confirm the sentence changed and nothing else was lost. A tool that can do all three holds a record. A tool that can do none of them holds a template.

Concept

A generated sentence you cannot trace is a sentence nobody can defend.

Evidence-grounded generation means every statement in an authorization artifact traces back to a fact in the record, and every fact that rests on evidence traces to that evidence. Fluency is not the standard. Defensibility is.

Sentence to fact
Fact to evidence
Evidence to ingest source

Ref: G-01
Kind: Definition

The definition.

Evidence-grounded authorization artifact generation is producing an SSP, SAR, POA&M or package such that every statement traces to a fact in the authorization record, and every fact resting on evidence traces to that evidence, its ingest source and its date.

It is a property of the generation chain, not of the output. You cannot inspect a finished document and tell whether it is grounded — a templated SSP and a grounded one can be word-for-word identical. The difference is whether the chain behind each sentence exists and can be walked.

Ref: G-02
Kind: Taxonomy
Grades: four
Worst: model-drafted

Four grades of generated document.

Vendors describe all four as "automated documentation". They are not the same product and they do not fail in the same way.

Four grades of generated authorization documentation, what each is, what it traces to, and how it fails
Grade	What it is	What a sentence traces to	How it fails
Templated	A template with fields filled in. The prose is boilerplate and the specifics are typed by a person.	None. The sentence is as true as whoever typed it, on the day they typed it.	Goes stale silently. Nobody can tell which parts were reviewed and which were inherited from the last program.
Data-filled	Structured data is merged into a document. The control set and statuses come from a database.	To the field. You can see the value came from the system, but not why the value is what it is.	Correct at generation. Diverges the moment somebody edits the document instead of the data.
Model-drafted	A language model writes the narrative from context supplied to it.	To a prompt, which is not a source. Fluent, plausible, and sometimes describing a system that does not exist.	The dangerous grade. It reads better than the ones above it and is less defensible than any of them.
Evidence-grounded	Every statement is generated from a fact in the record, and facts that rest on evidence carry the reference.	Sentence to fact to evidence to ingest source and date. Answerable in the product, in seconds.	Bounded. It can only say what the record supports, so an incomplete record produces a visibly incomplete document rather than a confidently wrong one.

The third grade is the one to watch. It reads better than the two above it and is less defensible than any of them.

Ref: G-03
Kind: Chain
Rule: no machine writes a fact

The chain, end to end.

Grounding is a chain, and a chain is only as good as the weakest link in it. Each link has to be a stored relationship rather than an inference made at render time.

Evidence

Where did this come from?

EV-4471 · sha256:9f3a…
Control

How is it implemented?

SC-7 · Boundary Protection
Assessment

Who assessed it, against what?

CAMP-12 · architecture v7
Determination

What did they conclude?

Satisfied
Finding

What requires action?

F-0093 · CAT II
POA&M

How is it being resolved?

POAM-0093 · in progress
SSP · SAR · Package

What did we hand the reviewer?

generated from the above

From a generated sentence back to the evidence that supports it.

Statement to fact. The sentence in the SSP is a rendering of a specific fact — an implementation statement, a categorization decision, a boundary component. Not a paraphrase of several.
Fact to evidence. Where a fact rests on evidence, the binding is explicit: this artifact supports this control and this determination. Not "the evidence folder".
Evidence to source. The evidence knows where it came from — which scanner, which pipeline run, which upload, on what date, judged by whom.
Fact to authorship. Every statement carries how it got there: authored by a person, generated from the record, or accepted from a proposal on a date by a named user.

Ref: G-04
Kind: AI

Where a model is allowed to help.

This is not an argument against using AI. It is an argument about what AI output is permitted to be.

A model is genuinely useful for extraction and drafting — pulling a candidate implementation statement out of the two-hundred-page SSP you already have, ranking which STIGs plausibly apply, surfacing a relationship a person would have to hunt for.

What makes that safe is the shape of the output. A proposal, carrying the passage or fact it was drawn from, which stays a proposal until an authorized practitioner accepts it. Acceptance is the authoritative act and it is audited like one.

Two details do most of the work. Model-invented control, CCI and STIG identifiers are discarded server-side before anyone sees them, so a plausible-looking reference to a control that does not exist never reaches a reviewer. And a proposal whose target changed between extraction and acceptance is refused rather than applied — somebody made a more recent decision and it should win.

AI proposes.
Evidence supports.
Authorized practitioners decide.
The record preserves it.

Ref: G-05
Kind: Test

Three things to ask for in a demo.

All three in the live product, not on a slide. Each takes under a minute if the chain exists and is impossible to fake if it does not.

Trace a sentence. Point at any statement in a generated SSP and follow it to the fact behind it.
Reach the evidence. From that fact, get to the artifact supporting it, its ingest source and its date.
Change and regenerate. Alter the underlying fact, regenerate, and confirm the sentence changed — and that nothing else was lost.

A tool that does all three holds a record. A tool that does none holds a template. A tool that does the first two but fails the third has a record and a document quietly competing to be authoritative, which is the failure mode hardest to notice and most expensive to unwind.

Ask us these three questions Traceability and provenance

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