Pergamum Pulse Knowledge Document and Metadata Framework

Part V — Operations, Security, Assurance and Historical Trust

5.1 Purpose

Part V defines how Pergamum Pulse remains trustworthy after knowledge has been acquired, transformed, structured and projected.

It governs:

operational ownership;
knowledge operations;
security;
access control;
retrieval protection;
AI Agent governance;
assurance;
quality management;
incident management;
resilience;
archive;
historical reconstruction.

The foundational principle is:

A knowledge system is trustworthy only when it remains secure, explainable, auditable, resilient and historically reconstructable throughout its lifecycle.

The complete PP-KDMF lifecycle is:

Discover
   ↓
Capture
   ↓
Protect
   ↓
Understand
   ↓
Connect
   ↓
Analyse
   ↓
Propose
   ↓
Compile
   ↓
Activate
   ↓
Audit
   ↓
Reconstruct

5.2 Operational Foundations

Pergamum Pulse SHALL operate as a governed knowledge service.

Operational governance SHALL define:

service ownership;
Component ownership;
availability objectives;
maintenance;
monitoring;
incident response;
dependency management;
change management;
operational review.

5.2.1 Operational Ownership

Every production Pergamum Pulse Component SHALL identify:

owning Module;
accountable Role;
technical owner;
security owner;
data owner;
escalation path;
lifecycle state;
provenance.

5.2.2 Service Boundaries

Operational boundaries SHALL distinguish:

source storage;
knowledge storage;
semantic graph;
retrieval services;
vector indexes;
projections;
generated artefacts;
Runtime consumers.

5.2.3 Operational State

Operational states MAY include:

active;
degraded;
maintenance;
suspended;
retired;
archived.

5.3 Knowledge Operations

Knowledge operations govern the daily management of:

Source Registries;
Rights Registries;
Knowledge Document Registries;
Assertion Registries;
Entity Graphs;
Mapping Registries;
Projection Registries.

5.3.1 Operational Activities

Activities MAY include:

ingestion monitoring;
review queue management;
rights review;
source monitoring;
licence monitoring;
stale knowledge detection;
conflict review;
projection monitoring;
archive management.

5.3.2 Freshness Management

Knowledge freshness SHALL distinguish:

source freshness;
document freshness;
assertion freshness;
entity freshness;
projection freshness;
Runtime consumption freshness.

5.3.3 Stale Knowledge

Stale knowledge SHALL not automatically be deleted.

It SHALL be classified as:

historically valid;
requiring review;
superseded;
withdrawn;
restricted.

5.4 Security Architecture

Pergamum Pulse security SHALL protect:

sources;
documents;
assertions;
entities;
graphs;
embeddings;
generated artefacts;
APIs;
Agents;
retrieval systems.

Security controls SHALL include:

identity;
authentication;
authorisation;
encryption;
logging;
least privilege;
isolation;
monitoring.

5.5 Knowledge Security Classification

Every knowledge object SHALL have a security classification.

Classes MAY include:

Public;
Internal;
Confidential;
Restricted;
Tenant Confidential;
White-label Confidential;
Legal Privilege;
Trade Secret;
Security Sensitive;
Personal Data;
Copyright Restricted.

Classification SHALL control:

access;
export;
retrieval;
indexing;
embedding;
AI processing;
publication.

5.6 Access Control

Access SHALL be:

identity-based;
role-based;
purpose-bound;
tenant-aware;
white-label-aware;
logged.

Access decisions SHALL consider:

object classification;
rights;
tenant scope;
purpose;
user Role;
Agent Profile;
jurisdiction.

5.7 Retrieval and Embedding Governance

Retrieval systems SHALL preserve:

source lineage;
rights;
access scope;
tenant isolation;
provenance.

5.7.1 Vector Representation

Embeddings SHALL be treated as derived knowledge objects.

They SHALL inherit applicable:

rights;
confidentiality;
access restrictions;
deletion requirements.

5.7.2 Embedding Metadata

Every embedding SHOULD preserve:

source object;
document version;
chunk identity;
embedding model;
model version;
generation time;
rights state;
access scope;
provenance.

5.7.3 Deletion Propagation

When source rights are revoked or data is removed, affected:

embeddings;
indexes;
caches;
derived datasets;
generated outputs

SHALL be evaluated.

5.8 AI Agent Governance

AI Agents interacting with Pergamum Pulse SHALL possess:

Agent Identity;
Agent Profile;
permissions;
tools;
retrieval scope;
output restrictions;
provenance.

Example:

agent:
  id: knowledge-review-agent

permissions:
  retrieve:
    - PP-KD

prohibited:
  - approve_rights
  - activate_runtime_changes
  - publish_restricted_content

AI Agents SHALL NOT:

grant copyright;
approve legal rights;
create authority;
activate Runtime changes;
publish restricted content;
replace expert judgement.

5.9 Assurance Framework

Pergamum Pulse SHALL support assurance over:

identity;
rights;
provenance;
security;
transformation;
activation;
history.

Assurance activities MAY include:

internal audit;
external assurance;
control testing;
metadata validation;
rights audit;
security assessment;
AI-output review.

5.10 Knowledge Quality Management

Quality management SHALL monitor:

completeness;
freshness;
confidence;
conflicts;
duplication;
coverage;
review status.

Metrics MAY include:

Knowledge Freshness;
Source Coverage;
Rights Completeness;
Assertion Confidence;
Conflict Rate;
Crosswalk Completeness;
Projection Drift;
Historical Completeness.

Metrics SHALL NOT:

create authority;
replace evidence;
replace review;
activate changes.

5.11 Incident Management

Incidents MAY include:

incorrect extraction;
rights violation;
source compromise;
counterfeit source;
tenant leakage;
embedding leakage;
incorrect projection;
stale knowledge;
wrong activation;
provenance loss.

Every incident SHALL identify:

incident identity;
affected objects;
affected tenants;
affected Modules;
affected Components;
containment;
correction;
impact;
provenance.

5.12 Resilience and Disaster Recovery

Pergamum Pulse resilience SHALL preserve:

source integrity;
metadata integrity;
graph integrity;
projection integrity;
historical integrity.

Recovery SHALL restore trust history, not merely service availability.

Recovery SHALL validate:

identities;
digests;
relationships;
rights;
projections;
activation state;
provenance.

5.13 Historical Trust Architecture

Historical trust enables reconstruction of what Pergamum Pulse knew at a previous point in time.

A historical query SHOULD answer:

What did ZAYAZ know, from which sources, under which rights, with which mappings, and what outputs were generated at that time?

Historical reconstruction SHALL preserve:

Source version;
Capture;
Rights state;
Knowledge Document version;
Assertions;
Relationships;
Crosswalks;
Change Candidates;
Decisions;
Projections;
Activations.

Example:

Historical Date: 2027-04-01

Source:
ISO Framework Version X

Knowledge Document:
PP-KD-00421 v1.2

Assertions:
PP-KA-1001
PP-KA-1002

Crosswalk:
PP-MAP-889

Projection:
PP-PRJ-331

Activation:
Runtime Profile v5

5.14 Archive and Retention

Archive governance SHALL define:

retention;
Legal Holds;
deletion;
preservation;
cryptographic integrity;
obsolete-format handling.

5.14.1 Legal Hold

Legal Hold SHALL preserve affected:

sources;
captures;
rights;
documents;
assertions;
decisions;
projections;
incidents;
publications.

5.14.2 Historical Preservation

Historical preservation SHALL retain:

superseded knowledge;
withdrawn knowledge;
retired mappings;
previous projections;
previous activation states.

5.15 Historical Provenance Graph

Final provenance chain:

Source
  ↓
Capture
  ↓
Rights
  ↓
Document
  ↓
Assertion
  ↓
Entity
  ↓
Relationship
  ↓
Crosswalk
  ↓
Change Candidate
  ↓
Decision
  ↓
Projection
  ↓
Activation
  ↓
Runtime Use
  ↓
Historical Archive

5.16 Part V Conformance

An implementation conforms to Part V where it:

operates Pergamum Pulse as a governed production knowledge service;
assigns operational ownership;
protects knowledge objects through security controls;
classifies knowledge appropriately;
enforces access boundaries;
governs retrieval and embeddings;
preserves embedding lineage and rights;
governs AI Agent access;
prevents Agents from exercising prohibited authority;
supports assurance activities;
measures knowledge quality without creating authority;
manages incidents;
supports resilience and recovery;
preserves historical trust;
supports archive and Legal Hold;
reconstructs prior knowledge states;
preserves Module lineage;
preserves Component lineage;
preserves tenant and white-label lineage;
maintains complete operational provenance.

Part V Foundational Principle

Knowledge without operational trust is temporary information.

Pergamum Pulse SHALL preserve not only what is known, but why it is trusted, who may use it, how it was transformed, when it was valid and how its history can be reconstructed.

Security protects knowledge. Rights protect ownership. Assurance protects confidence. Archives protect memory. Provenance protects truth.

By combining operational governance, security, assurance, resilience and historical reconstruction, Pergamum Pulse becomes a durable knowledge foundation for ZAYAZ: capable of learning continuously while preserving constitutional authority, legal integrity and explainable trust.

GitHub Repo Request for Change (RFC)