SOURCE Governed_Autonomy_for_AI_Agents.png
MD5 c8cf461b · made 2026-09-30 · NotebookLM infographic · OCR tesseract 5.5.1

Governed Autonomy: Securing Al Agents with Deterministic Ledgers

The Problem: The Collapse of Traditional Review

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ction update... ¢
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if d{
i teens file h.js
= a
i ———
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DETERMIN
MINIST:
EVALUATIONS A
— SO
UNPROVABLE
EVIDENCE

Al agent velocity destroys
human-driven code review.

Traditional review fails when agents
autonomously edit hundreds of files per minute.

Models grading models
yields unprovable evidence.

Non-deterministic LLM evaluation cannot produce
mathematically defensible compliance receipts.

The Solution: The 4-Step Deterministic Pipeline

DECLARED INTENT

B target_file1.js
target_file2.py
ile_unauthorized.css | AUTOMATIC

ACTUAL DETERMINISTIC
DIFF Cl PIPELINE SCORE

Step 3: Reconcile drift
deterministically in Cl.

Cl pipelines automatically score actual diffs
against declared intent without LLM evaluation.

|_oslon
¢ mon_valan

Step 1 & 2: Declare scope
and gate edits.

Agents declare target files upfront; atrict mode
denies modifications outside declared scope.

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( (==

la

Step 4: Seal receipts in

é TAMPER-
append-only hash chains. EVIDENT
Cryptographic ledgers ensure historical audit records IMMUTABLE
remain tamper-evident and independently verifiable. CRYPTOGRAPHIC

LEDGER

AN Gemini Notebook