Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
281 changes: 153 additions & 128 deletions README.md

Large diffs are not rendered by default.

290 changes: 147 additions & 143 deletions START_HERE.md
Original file line number Diff line number Diff line change
@@ -1,231 +1,235 @@
# **START HERE — What Keon Is and Why It Exists**
# START HERE

## OMEGA Whitepaper
## Keon: Governance Substrate for Verifiable AI Execution

- **OMEGA Governed Execution Whitepaper (Markdown):** [omega-docs/whitepapers/omega-governed-execution.md](https://github.com/omega-brands/omega-docs/blob/main/whitepapers/omega-governed-execution.md)
- **OMEGA Governed Execution Whitepaper (PDF):** [omega-docs/assets/whitepapers/omega-governed-execution.pdf](https://github.com/omega-brands/omega-docs/blob/main/assets/whitepapers/omega-governed-execution.pdf)
Keon is not an AI system.

**Keon turns AI-triggered actions into court-defensible, independently verifiable proof — before a single line of code ever runs in production.**
It does not generate plans.
It does not execute workflows.
It does not reason with LLMs.

**30-second summary**
Keon is the **governance and forensic substrate** for AI-assisted systems where decisions cause real execution.
Keon governs execution.

It enforces policy **before execution**, records **explicit authority**, and produces **verifiable evidence packs** that survive audit, investigation, e-discovery, and courtroom scrutiny.
Specifically, it governs:

> **Execution proposes. Governance decides. Receipts prove.**
* Whether actions are authorized
* Under which policy and version
* Within which tenant and authority boundary
* With what verifiable evidence
* And, when applicable, how human-facing expression complies with declared behavioral policy

If governance is missing, ambiguous, or unverifiable — execution does not occur.

---

## The problem Keon solves
# The Problem Keon Solves

AI has crossed from advisory → **operational**.
AI systems increasingly trigger actions with material consequence:

Today AI systems:
* Infrastructure deployment
* Account modification
* Automated enforcement
* Policy execution
* Customer-facing decisions

- deploy infrastructure
- modify accounts & permissions
- trigger workflows
- make decisions with legal / financial / safety consequences
Most governance approaches focus on:

Most “AI governance” tools stop at:
* Logging
* Monitoring
* Prompt controls
* After-the-fact review

- prompt safety
- alignment
- real-time monitoring
- post-hoc logs
Keon addresses a different class of problem:

They collapse when the real questions arrive months or years later:
> How do you prove that an AI-assisted action was authorized, policy-compliant, and executed under accountable authority — long after it occurred?

> *Who authorized this change?*
> *Under which ratified policy version?*
> *What exact evidence was evaluated?*
> *Can this decision be independently reproduced and verified?*
This is a forensics problem.

That’s **not observability**.
That’s a **forensics & accountability gap**.
Not observability.
Not alignment.
Forensics.

---

## What Keon actually is
# The Governance Boundary

Keon sits between intent and execution.

**Intent → Authorization → Receipt → Execution → Evidence**

Keon is the **decision governance layer** between intent and execution.
Every governed action produces:

It enforces one mechanical boundary:
* An explicit authorization decision
* A cryptographic receipt
* A deterministic record
* A verifiable evidence artifact

**Decision → Authorization → Receipt → Execution → Evidence**
Execution systems cannot bypass this boundary.

---

Every governed action must produce:
# Operational Governance

- explicit authorization decision
- cryptographic receipt
- tamper-evident audit trail
- verifiable **evidence pack** suitable for forensic review
Operational governance ensures:

No valid receipt? → **No execution**.
* Intent is explicit and canonicalized
* Policy is enforced before execution
* Authority is cryptographically bound
* Artifacts are deterministic and immutable
* Evidence is independently verifiable

```mermaid
flowchart LR
A[AI / System Proposal] --> B[Keon Authorization]
B -->|Valid Receipt| C[Execution Allowed]
B -->|No / Invalid Receipt| D[Execution Blocked]
C --> E[Evidence Pack Sealed]
style B fill:#d32f2f,stroke:#fff,stroke-width:2px
```
Logs describe what happened.

Keon proves whether it was allowed.

---

## What Keon is **not**
# Behavioral Governance

Keon stays narrow by design. It does **not**:
As AI systems increasingly communicate directly with humans, governance must extend beyond action into expression.

- reason with LLMs
- generate plans / workflows
- initiate actions
- execute anything
- replace your compliance program
- pretend to be a lawyer
Keon supports governance of human-facing expression under declared Behavioral Policy.

Keon exists to make **execution provable** — full stop.
Behavioral governance may include:

---
* Declared archetype constraints
* Lexical and structural framing rules
* Emotional calibration bounds
* Agency preservation requirements
* Fail-closed enforcement modes

## Governed execution — the core mental model
Human-facing output may pass through a Behavioral Evaluation Gate before exposure.

- AI outputs = **requests**, never commands
- Execution = **fail-closed** by default
- Authority = **explicit & attributable**, never implied
- Evidence = **first-class deliverable**
Behavioral evaluation may produce receipts that bind expression to policy version and execution context.

This model lets organizations answer the questions regulators, auditors, lawyers, and incident responders actually ask:
Governance therefore applies to both:

- Who approved this?
- Under what policy version?
- What was the evidence at decision time?
- What would have happened if auth failed?
- Can a third party verify the entire chain?
* What systems do
* How they present themselves while doing it

---

## Evidence Packs — digital forensics by design
# Separation of Powers

Keon is a governance substrate.

The atomic unit of truth in Keon is the **Evidence Pack**.
Execution systems:

Each pack is a tamper-evident bundle containing:
* Propose actions
* Request authorization
* Execute only when receipted

- **Decision** — what was requested
- **Policy** — what governed evaluation
- **Authority** — who/what approved it
- **Execution** — what actually ran
- **Proof** — cryptographic receipts chaining everything
Keon:

Properties:
* Evaluates policy
* Issues receipts
* Records deterministic evidence
* Enables independent verification

- human-readable JSON + binary receipts
- machine-verifiable signatures
- immutable once sealed
- long-term retention ready
- exportable for legal / audit use
Keon does not execute.

Sealed packs live in the **Keon Evidence Vault** (append-only).
Execution systems do not self-authorize.

This separation prevents silent privilege escalation and unverifiable action.

---

## Digital forensics & post-incident reconstruction
# Lifecycle Governance

Keon governs more than individual decisions.

Keon artifacts let investigators reconstruct:
It governs lifecycle events:

- Proposed decision
- Governing policy snapshot
- Authorization chain (human or system)
- Execution timeline
- Evidence evaluated at decision time
- Alternate outcomes under different auth conditions
* Governed Birth (entity creation under explicit authority)
* Governed Death (receipt-bound termination with lineage)
* Governed Automation (policy-triggered actions with fail-closed semantics)

Designed for environments where **explainability must last years**, not just real-time dashboards.
Lifecycle governance ensures no entity exists, changes state, or terminates without attributable authority.

---

## Lifecycle governance — birth, death, and automation
# Evidence Model

Keon doesn't only govern point-in-time decisions. It governs the **full lifecycle** of autonomous digital entities.
Keon produces:

**Governed Birth** — Entity creation requires explicit authority. Every entity begins with a receipt-bound genesis event. No entity exists without a governed creation record.
* Cryptographically bound receipts
* Deterministic manifests
* Verifiable evidence packs
* Tamper-evident artifact chains

**Governed Death** — Revocation and termination produce immutable lineage. No death without birth (prevents phantom entities). No double-death (prevents state corruption). Receipt chains link creation → termination with no gaps.
Evidence is portable.

**Governed Automation** — Policies can trigger automatic governance actions, but always with accountability:
Verification does not require trust in the operator.

- Severity gradation: RECOMMEND → AUTO_REVOKE → AUTO_TERMINATE
- Human gate enforcement for irreversible actions
- Cooldown periods to prevent policy flapping
- Fail-closed: ambiguous or incomplete context defaults to NO_ACTION
- Full attribution: policy ID, version, automation flag, and trigger events
---

# Who Should Read This Repository

This repository is designed for:

> *Machines may act automatically — but Keon can always prove why, under whose authority, and with what limits.*
* Platform engineers
* AI infrastructure teams
* Security and compliance professionals
* Digital forensic investigators
* Audit and risk teams
* Legal and investigative functions

If your system may be examined under audit, regulatory review, or litigation, this model is relevant.

---

## Governance surfaces
# How to Navigate This Repository

### Keon Control (human governance surface)
Recommended order:

Cross-system view for:
1. **Conceptual Foundation**

- policy lifecycle
- receipt & evidence exploration
- audit console
- forensic review
- compliance oversight
* Governance model
* Separation of powers
* Receipt architecture

Iron rule:
**Keon never executes. Keon decides. Applications observe — they never govern.**
2. **Whitepapers**

---
* Cryptographically Governed AI Execution (CGAE)
* Canonical documentation

## Relationship to governed systems (e.g. OMEGA)
3. **Lifecycle Governance**

Keon does **not** run code.
* Birth
* Death
* Automation

Governed runtimes integrate Keon to:
4. **Proof Campaigns**

- request authorization
- receive decisions + obligations
- emit receipts
- preserve evidence packs
- prove compliance later
* Sealed artifacts
* Verification harnesses
* Independent reproducibility

> **Keon decides.
> Governed systems execute.
> Receipts prove.**
5. **UI and Governance Interfaces**

* Courtroom
* Evidence export
* Auditor walkthrough

If a claim cannot be traced to code, a tag, or a proof artifact, treat it as incomplete.

---

## Choose your path
# What This Repository Is Not

| Goal | Time | Start here |
|-----------------------------------|------------|--------------------------------------------------------------|
| Understand Keon quickly | 5–10 min | This page |
| Grasp the full architecture | 15–30 min | [CGAE v1.0.0 (canonical whitepaper)](./docs/whitepapers/cgae/v1.0.0.md) |
| Explore the full whitepaper library | 30 min | [Whitepapers index (canonical + archive)](./docs/whitepapers/index.md) |
| Verify every public claim | 30–60 min | [Claims Registry](./canon/CLAIMS_REGISTRY.yaml) [KS-EVIDENCE-004] |
| See real production usage | 30+ min | [OMEGA](https://github.com/m0r6aN/omega-docs) |
| Audit / forensic deep-dive | 1–2 hrs | [Proof maps + sealed Evidence Packs](./EVIDENCE/README.md) |
| Verify proven capabilities | 15–30 min | [Proof Campaign Status](https://github.com/m0r6aN/omega-docs/blob/main/REPORT/PROOFS/PROOF_CAMPAIGN_STATUS.md) |
This is not:

* A marketing site
* A feature list
* A philosophical alignment manifesto

It is documentation for a governance substrate designed to make execution and expression provable.

---

## Design principles (non-negotiable)
# One-Line Summary

- Proof over promises
- Explicit authority over implicit trust
- Fail-closed by default
- Determinism over heuristics
- Forensic defensibility over narrative comfort
Keon makes execution and human-facing AI behavior provable — before, during, and after action.

---

**One-line truth**

> **Keon makes execution provable — from creation through termination, even when lawyers and regulators are watching.**
17 changes: 17 additions & 0 deletions content/evidence-packs/v1/README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
# Evidence Pack Samples (v1)

Canonical downloadable sample Evidence Packs for the website tour.

- `evidence-pack.v1.latest.zip`: website download target (always current)
- `evidence-pack.v1.YYYY-MM-DD.zip`: immutable dated snapshot(s)
- `manifest.json`: mirror of the downloadable evidence-pack manifest (`manifestVersion = "1"`)
- `checksums.txt`: mirror of generated downloadable artifact checksums
- `signer-public-key.b64`: public key used to verify pack attestations
- `trust-bundle.json`: trust bundle used for AuthorizationValid verification

Notes:
- The ZIP sample is generated from `EvidencePackService.CreateAsync(...)`.
- It is wrapped in the minimal legacy attested manifest shape (`version = "v1"`) so the current verifier can validate it end-to-end.
- `manifestVersion = "1"` remains present in the verifier-visible `manifest.json` as the downloadable evidence-pack schema signal.

Last refreshed: 2026-02-26
Loading