Q-Trust Plane

WHITEPAPER

Q-Trust Plane Whitepaper

Full technical specification: threat model, architecture, QPL, grants, evidence capture, and on-chain anchoring.

Back to overviewRequest access

Highlights

  • Deterministic authorization via QPL with canonicalization and deny-wins semantics.
  • Ephemeral, single-use grants bound to execution context (no ambient authority).
  • Cryptographic evidence chain with Merkle batching and mandatory on-chain anchoring.
  • External auditability via inclusion proofs (auditor does not trust operator logs).
  • Hybrid signature paths designed for PQC migration readiness.

Q-Trust Plane Whitepaper v1.1 (Full)

Quantum-Safe Zero-Trust Control Plane for Hybrid Web2/Web3 Infrastructure

Author: Mayckon Giovani (Lead Senior Software Engineer) Version: 1.1 (Presentation-ready, includes formal DSL spec) Date: December 16, 2025 Distribution: Public technical whitepaper (recommended: dual-license Community + Enterprise)

Abstract

Modern organizations run critical operations across fragmented security domains: Cloud IAM, Kubernetes RBAC, CI/CD permissions, secrets management, and on-chain administration (smart contracts, bridges, oracles). This fragmentation creates systemic failures: inconsistent authorization, weak auditability, excessive privilege, token sprawl, and brittle governance—especially catastrophic in Web3 systems where a single mistake can irreversibly move funds.

Q-Trust Plane is a cryptographic zero-trust control plane that unifies identity verification, policy decision, short-lived capability grants, cryptographic evidence, and mandatory on-chain anchoring for high-stakes actions across both Web2 and Web3. It standardizes a universal authorization flow: every critical action must present a context-bound, non-replayable, short-lived grant issued only after formal policy evaluation over verified identity + attestations, followed by evidence capture whose integrity is independently verifiable via on-chain Merkle anchoring.

This whitepaper specifies the end-to-end architecture, threat model, multichain integrations, and QPL (Q-Policy Language) including formal grammar, type system, canonicalization rules, and complete examples.

Table of Contents

  1. Executive Summary

  2. The Problem

  3. Goals and Non-Negotiable Guarantees

  4. Core Concepts

  5. System Architecture

  6. Identity and Attestation Model

  7. QPL (Q-Policy Language) – Formal Specification

    • 7.1 Design Principles
    • 7.2 Data Model
    • 7.3 Type System
    • 7.4 Formal Grammar (EBNF)
    • 7.5 Canonicalization and Hashing
    • 7.6 Evaluation Semantics
    • 7.7 Obligations and Enforcement
    • 7.8 Complete Policy Examples

  8. Grant Protocol (Capability Tokens)

  9. Evidence System and Mandatory On-Chain Anchoring

  10. Multichain Operation Model

  11. Key Management and Signing (PQC-Ready)

  12. Agents (Enforcement Points)

  13. Threat Model and Security Analysis

  14. Reliability, HA, and Operational Behavior

  15. Multi-Tenancy and Enterprise Governance

  16. Compliance, Auditability, and External Verification

  17. Productization and Monetization

  18. Roadmap

  19. Conclusion Appendices: A. Canonical Encoding Rules B. Reference Data Schemas (Request/Grant/Evidence) C. Example Policies Library

1. Executive Summary

Q-Trust Plane is an enterprise-grade security and governance system designed to make authorization deterministic, cryptographic, and externally verifiable across hybrid Web2/Web3 infrastructure.

It introduces a single control plane that:

  • Verifies workload/user identity (OIDC/mTLS/wallet bindings).
  • Verifies attestations (SLSA provenance, SBOM digests, approvals, signatures).
  • Evaluates formal policies using QPL (the included DSL).
  • Issues short-lived, one-time, context-bound capability grants.
  • Requires enforcement agents (CI/CD, Kubernetes, IaC, Web3 deployers) to present those grants.
  • Produces a cryptographic evidence chain, then anchors it on-chain via Merkle roots (mandatory in this whitepaper).

Outcome: a system where high-stakes actions are not merely logged, but cryptographically provable, policy-linked, and tamper-evident, with chain-level audit anchors enabling external verification.

2. The Problem

2.1 Fragmented authorization is structurally unsafe

Modern operations use many independent “authorization islands”:

  • Cloud IAM (AWS/Azure/GCP)
  • Kubernetes RBAC / Admission Controls
  • CI/CD permissions (GitHub/GitLab)
  • Secrets management
  • On-chain admin (multisigs, upgradeability, bridge validators)
  • Off-chain bots/oracles

These systems are rarely unified under a single policy model, causing:

  • inconsistent control boundaries
  • ad hoc approvals
  • hidden privilege escalation paths
  • operational gaps between “allowed” in CI and “allowed” on-chain
  • audit trails that can’t be independently verified

2.2 CI/CD and supply chain are the new perimeter

Most critical incidents now involve:

  • compromised runners or build agents
  • malicious dependencies
  • artifact tampering
  • stolen tokens with broad privileges

2.3 Web3 amplifies consequences

Bridges, oracles, and upgradeable contracts concentrate enormous risk. A single unauthorized upgrade or signer rotation can instantly produce irreversible loss.

3. Goals and Non-Negotiable Guarantees

3.1 Security guarantees (non-negotiable)

  1. Default Deny: deny unless explicitly allowed.
  2. Least Privilege: scope grants to the smallest possible action/resource context.
  3. Ephemeral Authorization: grants are short-lived and single-use by default.
  4. Context Binding: grants are bound to execution context (job id, commit hash, artifact digest, chain id, environment, agent identity).
  5. Deterministic Policy Decision: decisions are reproducible given the same inputs.
  6. Cryptographic Auditability: every decision and action yields signed evidence.
  7. Mandatory On-Chain Anchoring: every allowed critical action’s evidence is anchored on-chain (Merkle root publication).
  8. PQC-readiness: support hybrid signatures (classical + post-quantum).

3.2 Operational requirements

  • Integrate with existing CI/CD and infra systems without replacing them.
  • Support multichain execution patterns.
  • Provide both SaaS multi-tenant and self-hosted enterprise deployments.

4. Core Concepts

  • Subject: the requesting identity (human, workload, pipeline job, bot).
  • Resource: the target asset (contract, chain, secret, cluster, namespace, repo, model).
  • Action: operation requested (deploy, upgrade, rotate_key, apply_iac).
  • Context: runtime details (job id, branch, artifact digests, environment).
  • Attestations: proofs associated with request (SLSA, SBOM, approvals).
  • Policy: deterministic decision logic + obligations.
  • Grant: signed capability token authorizing exactly one action within strict constraints.
  • Evidence: cryptographic record of request, decision, execution, and outputs.
  • Anchor: on-chain commitment of evidence integrity (Merkle roots).

5. System Architecture

5.1 Logical components

  1. API Gateway: gRPC/REST, authentication entrypoint, rate limiting.
  2. Identity Verifier: validates OIDC, mTLS, wallet bindings; produces a subject fingerprint.
  3. Attestation Verifier: validates provenance, signatures, approvals, SBOM digests.
  4. Policy Engine: evaluates QPL policies deterministically.
  5. Grant Issuer: produces signed grants, enforces single-use & TTL.
  6. Evidence Ledger: constructs an append-only hash-chained evidence log.
  7. On-Chain Anchor Service: batches evidence into Merkle trees and publishes roots to chain contracts.
  8. Agents: enforcement points (CI/CD agent, Terraform agent, K8s admission agent, Web3 deployer agent, bridge operator agent).
  9. Admin Console: policy management, tenant governance, audit proof retrieval.

5.2 Control-plane / data-plane separation

  • Q-Trust Plane = control plane (decision, grants, evidence, anchors).
  • Agents = data plane (execution + enforcement).

No agent performs privileged actions without a valid grant.

6. Identity and Attestation Model

6.1 Identity sources

  • OIDC (GitHub Actions, GitLab CI, Azure AD, Google, Okta)
  • mTLS workload identities (optional, enterprise)
  • Wallet signatures (treated as factors; bind wallet to enterprise subject)

6.2 Composite subject model

A Subject is not merely “a valid token,” but a composite of:

  • verified issuer
  • claims (repo, workflow, job id, actor)
  • workload attributes (runner identity, cluster identity)
  • risk signals (time window, unusual branch, unusual chain)
  • attached attestations

6.3 Attestations (mandatory for high risk)

Examples:

  • SLSA provenance digest of build outputs
  • SBOM digest (CycloneDX/SPDX) for artifacts/images
  • Artifact signature verification (cosign/sigstore/PGP)
  • Human approvals evidence (multi-approver constraints)

7. QPL (Q-Policy Language) – Formal Specification (v1.1)

7.1 Design Principles

QPL must be:

  • Deterministic: same inputs → same outputs.
  • Audit-friendly: policy decisions can be replayed and proven.
  • Expressive: cross-layer conditions (CI + IaC + Web3).
  • Strict: explicit allow; obligations must be satisfied.
  • Canonicalizable: stable hashing and signing across implementations.

QPL is policy-as-code designed for cryptographic governance.

7.2 Data Model (Request Context)

7.2.1 Authorization Request object AuthzRequest

A request is evaluated against policies using a normalized object:

Top-level fields:

  • subject: identity claims and derived roles
  • resource: target descriptor
  • action: string enum
  • context: environment and execution data
  • attestations: verified proof metadata (digests, issuers, signatures)

7.2.2 Canonical path notation

Policies reference data via stable paths:

  • subject.claims.repo
  • context.git.branch
  • resource.chain.id
  • attestations.slsa.digest
  • attestations.approvals.count

7.3 Type System

7.3.1 Primitive types

  • bool
  • int (signed 64-bit)
  • string (UTF-8)
  • bytes (opaque byte array, represented as base64 in JSON APIs)
  • time (RFC3339 UTC instant)
  • duration (seconds as int or ISO-8601 duration in APIs)
  • semver (Semantic Version)
  • cidr (CIDR block)
  • hash (typed hash: e.g., hash:sha256, hash:keccak256)

7.3.2 Composite types

  • list<T>
  • set<T> (unordered, unique elements)
  • map<string, T>
  • object (structured record with named fields)

7.3.3 Typed comparisons

  • ==, != valid for same types.
  • <, <=, >, >= valid for int, time, semver, duration (if normalized).
  • in operator for membership in set / list.
  • matches for regex on string.
  • starts_with, ends_with, contains for strings.
  • hash_eq(a,b) for comparing typed hashes with algorithm/domain separation checks.

7.3.4 Null handling

QPL is strict:

  • missing fields evaluate as undefined
  • comparisons with undefined yield false (except is_defined(x))

Functions:

  • is_defined(x) -> bool
  • coalesce(x, y) -> type(x|y) (first defined)

7.4 Formal Grammar (EBNF)

This grammar defines the source form of QPL.

7.4.1 Lexical

  • Identifiers: [A-Za-z_][A-Za-z0-9_]*
  • Strings: double-quoted with escapes
  • Integers: -?[0-9]+
  • Comments: // ... and /* ... */

7.4.2 EBNF

policy_set     = { policy } ;

policy         = "policy" identifier "{" 
                   meta_block
                   match_block
                   decision_block
                 "}" ;

meta_block     = "meta" "{" 
                   { meta_entry } 
                 "}" ;

meta_entry     = identifier ":" literal ";" ;

match_block    = "match" "{" 
                   { match_entry } 
                 "}" ;

match_entry    = "action" ":" string ";" 
               | "resource" ":" resource_selector ";" ;

resource_selector = "{" { resource_field } "}" ;
resource_field = identifier ":" literal_or_pattern ";" ;

literal_or_pattern = literal | pattern ;

pattern        = "regex" "(" string ")" 
               | "glob" "(" string ")" ;

decision_block = "effect" ":" effect ";" 
                 [ "when" ":" expr ";" ]
                 [ obligations_block ]
                 [ constraints_block ]
                 [ evidence_block ]
                 [ ttl_block ]
                 ;

effect         = "allow" | "deny" ;

obligations_block = "obligations" "{" { obligation_entry } "}" ;
obligation_entry  = identifier ":" obligation_value ";" ;

obligation_value  = literal 
                  | object_literal 
                  | list_literal ;

constraints_block = "constraints" "{" { constraint_entry } "}" ;
constraint_entry  = identifier ":" literal_or_object ";" ;

evidence_block = "evidence" "{" { evidence_entry } "}" ;
evidence_entry = identifier ":" literal_or_object ";" ;

ttl_block      = "ttl" ":" duration_literal ";" ;

expr           = or_expr ;
or_expr        = and_expr { "or" and_expr } ;
and_expr       = unary_expr { "and" unary_expr } ;
unary_expr     = [ "not" ] primary ;
primary        = "(" expr ")"
               | comparison
               | function_call
               | boolean_literal
               ;

comparison     = value comp_op value ;
comp_op        = "==" | "!=" | "<" | "<=" | ">" | ">=" 
               | "in" | "matches" ;

value          = literal
               | path
               | function_call
               | list_literal
               | set_literal
               ;

path           = identifier { "." identifier } ;

function_call  = identifier "(" [ arg_list ] ")" ;
arg_list       = value { "," value } ;

literal        = string | int | boolean_literal | time_literal | hash_literal ;
list_literal   = "[" [ value { "," value } ] "]" ;
set_literal    = "{" [ value { "," value } ] "}" ;

object_literal = "{" [ object_entry { "," object_entry } ] "}" ;
object_entry   = identifier ":" value ;

duration_literal = int "s" | int "m" | int "h" ;
time_literal     = "time" "(" string ")" ;
hash_literal     = "hash" "(" string "," string ")" ;

Notes:

  • resource_selector supports exact matches and patterns (glob/regex).
  • All blocks are part of a single policy definition.
  • when is optional; if omitted, it defaults to true.

7.5 Canonicalization and Hashing

Canonicalization ensures policies can be hashed, signed, and verified across systems.

7.5.1 Canonical Policy Representation (CPR)

A policy must be converted into a canonical JSON-like structure:

Rules:

  1. Whitespace/comments removed.

  2. All object keys sorted lexicographically.

  3. Sets sorted by canonical value ordering.

  4. Regex/glob patterns stored as explicit tagged objects:

    • {"pattern":{"type":"regex","value":"^main$"}}

  5. Durations normalized to seconds.

  6. Time normalized to RFC3339 UTC.

  7. Hashes stored as typed object:

    • {"hash":{"alg":"sha256","value":"...hex..."}}

  8. Boolean expressions normalized into explicit AST nodes:

    • {"op":"and","args":[...]}
    • {"op":"or","args":[...]}
    • {"op":"not","arg":...}

7.5.2 Policy Hash

Policy hash computation:

  • policy_hash = SHA-256( canonical_bytes(CPR(policy)) )
  • policy_set_hash = SHA-256( concat_sorted(policy_hashes) )

7.5.3 Domain Separation

Every hash includes domain separation to prevent cross-context collisions:

  • H("QTRUST:POLICY:" || canonical_bytes)
  • H("QTRUST:REQUEST:" || canonical_bytes)
  • H("QTRUST:EVIDENCE:" || canonical_bytes)

7.5.4 Signing

A policy bundle is signed (hybrid):

  • sig_classic = Sign(Ed25519, policy_set_hash)
  • sig_pqc = Sign(Dilithium/Falcon, policy_set_hash) Bundle includes both.

7.6 Evaluation Semantics

7.6.1 Matching phase

A policy is considered if:

  • match.action equals requested action (string)
  • match.resource selector matches requested resource (exact/pattern)

7.6.2 Condition phase

If when exists, it must evaluate to true. Expression evaluation is strict and deterministic:

  • Any comparison with undefined yields false (unless is_defined used).

7.6.3 Effect resolution

Policies are evaluated in a deterministic order:

  1. Determine all matching policies.

  2. Evaluate each when.

  3. Apply resolution:

    • Any deny that matches and evaluates true overrides allow (deny-wins).
    • If no allows remain, deny.

  4. If allow selected, include:

    • obligations
    • constraints
    • evidence requirements
    • TTL

7.6.4 Obligations are mandatory

If an allow policy returns obligations, the grant issuer includes them and the agent must satisfy them to complete the action. Failure → evidence violation → enforcement penalties.

7.7 Obligations and Enforcement

Obligations are contract-like requirements the agent must fulfill.

Examples:

  • require_mfa: true
  • require_approvals: { group: "security", count: 2 }
  • require_attestation: { type: "sbom", alg: "sha256" }
  • require_anchor: true
  • require_evidence_fields: ["tx_hash", "bytecode_hash", "artifact_digest"]
  • require_time_window: { start: "09:00", end: "18:00", tz: "America/Santiago" }

Enforcement:

  • Grant issuance includes obligations.

  • Agents must report evidence that satisfies obligations.

  • Non-compliance triggers:

    • incident alerts
    • temporary quarantining of subject/agent
    • stricter future policy enforcement
    • optional revocation workflows

7.8 Complete QPL Policy Examples (Presentation-Ready)

Example 1: EVM Mainnet Contract Deployment (Release Only, Signed, 2 Security Approvals)

policy deploy_evm_mainnet_release {
  meta {
    id: "POL-DEPLOY-EVM-MAINNET-RELEASE";
    owner: "platform-security";
    severity: "critical";
    version: "1.0.0";
  }

  match {
    action: "web3.contract.deploy";
    resource: { type: "contract", chain: "evm", network: glob("mainnet*") };
  }

  effect: allow;
  when: (
    subject.issuer in {"https://token.actions.githubusercontent.com", "https://gitlab.com"} and
    context.git.branch == "main" and
    context.git.tag matches regex("^v[0-9]+\\.[0-9]+\\.[0-9]+$") and
    attestations.commit.signature_valid == true and
    attestations.sbom.present == true and
    attestations.slsa.present == true and
    attestations.approvals.group == "security" and
    attestations.approvals.count >= 2
  );

  obligations {
    require_anchor: true;
    require_evidence_fields: ["tx_hash","contract_address","bytecode_hash","artifact_digest","pipeline_run_url"];
    require_two_person_rule: true;
  }

  constraints {
    max_ttl_seconds: 90;
    allowed_chains: ["ethereum:1","arbitrum:42161"];
    allowed_artifacts: { digest_alg: "sha256", source: "registry" };
  }

  evidence {
    anchor_epoch_seconds: 60;
    merkle_domain: "QTRUST:EVIDENCE";
  }

  ttl: 90s;
}

Example 2: Deny Any Upgrade Outside Business Hours

policy deny_upgrades_after_hours {
  meta { id: "POL-DENY-UPGRADE-AFTER-HOURS"; owner: "security"; version: "1.0.0"; }

  match {
    action: "web3.contract.upgrade";
    resource: { type: "proxy", chain: "evm", network: glob("*") };
  }

  effect: deny;
  when: not within_time_window(context.time.utc, "12:00", "23:00", "UTC");
}

Example 3: Terraform Apply in Prod Requires SBOM + SLSA + Signed Plan

policy terraform_apply_prod {
  meta { id: "POL-IAC-PROD-APPLY"; owner: "devsecops"; version: "1.2.0"; severity: "high"; }

  match {
    action: "iac.terraform.apply";
    resource: { type: "terraform", env: "prod" };
  }

  effect: allow;
  when: (
    attestations.slsa.present == true and
    attestations.sbom.present == true and
    attestations.terraform.plan_signed == true and
    context.git.branch == "main"
  );

  obligations {
    require_anchor: true;
    require_evidence_fields: ["plan_digest","apply_log_digest","pipeline_run_url"];
  }

  ttl: 120s;
}

Example 4: Bridge Signer Rotation Requires Quorum + Emergency Lockout

policy bridge_rotate_signers {
  meta { id: "POL-BRIDGE-ROTATE-SIGNERS"; owner: "bridge-security"; version: "2.0.0"; severity: "critical"; }

  match {
    action: "web3.bridge.rotate_signers";
    resource: { type: "bridge", chain: "evm", network: glob("mainnet*") };
  }

  effect: allow;
  when: (
    attestations.approvals.group == "bridge-security" and
    attestations.approvals.count >= 3 and
    attestations.runbook.acknowledged == true
  );

  obligations {
    require_anchor: true;
    require_two_person_rule: true;
    require_evidence_fields: ["tx_hash","new_signers_hash","threshold","incident_ticket"];
    require_emergency_lockout: { duration_seconds: 3600 };
  }

  ttl: 60s;
}

8. Grant Protocol (Capability Tokens)

8.1 Grant properties

A grant is a signed capability token with:

  • strict TTL (nbf, exp)
  • single-use nonce
  • binding to subject fingerprint and execution context
  • embedded policy hash and obligations
  • evidence commitments for later anchoring

8.2 Grant schema (logical)

  • grant_id: UUIDv7 + nonce
  • subject_fp: hash of canonical subject claims + issuer + workload identity
  • action: string
  • resource: canonical resource descriptor
  • context_bindings: job id, repo, commit, artifact digests, chain id, agent id
  • policy_hash: SHA-256(CPR(policy))
  • policy_set_hash: SHA-256(sorted(policy_hashes))
  • obligations: required evidence & constraints
  • evidence_commitment: leaf hash prefix (domain-separated)
  • nbf, exp
  • sig_classic, sig_pqc

8.3 One-time use

The issuer maintains a consumed-grant index (or a bloom + persistence) to enforce one-time use.

9. Evidence System and Mandatory On-Chain Anchoring

9.1 Evidence record

Each allowed action produces:

  • request digest
  • decision digest
  • grant digest
  • execution outputs (tx hash, artifact digest, plan digest)
  • chained hash pointer to previous evidence
  • issuer signature (hybrid)
  • timestamp

9.2 Merkle batching and anchoring (mandatory)

  • evidence leaves collected for epoch window (e.g., 60 seconds)

  • build Merkle tree

  • publish root to chain via AuditAnchor contract

  • store Merkle proofs per evidence leaf

  • provide external verification API:

    • leaf, proof, root, tx hash, chain id

9.3 External verification

Any auditor can prove inclusion of a specific evidence event in a published on-chain root.

10. Multichain Operation Model

10.1 Chain adapters

Adapters normalize:

  • chain identifiers
  • transaction receipts
  • contract bytecode/runtime hashes
  • upgrade events (proxy patterns)
  • bridge/oracle events

10.2 Action taxonomy (non-exhaustive)

  • web3.contract.deploy
  • web3.contract.upgrade
  • web3.admin.set_role
  • web3.bridge.rotate_signers
  • web3.bridge.pause
  • web3.oracle.update_feed

Each maps to:

  • risk profile
  • TTL bounds
  • required attestations/approvals
  • evidence field requirements

11. Key Management and Signing (PQC-Ready)

11.1 Principles

  • keys never leave the vault in raw form
  • signing is mediated via grants
  • keys are segregated by tenant, environment, chain, and action class

11.2 Hybrid signature strategy

  • classical: Ed25519/secp256k1

  • PQC: Dilithium/Falcon

  • both signatures included for:

    • policy bundles
    • grants
    • evidence records

12. Agents (Enforcement Points)

Agents implement:

  1. context collection
  2. authorization request submission
  3. grant verification
  4. execution
  5. evidence submission
  6. anchor proof retrieval

Agent types:

  • CI Agent
  • Terraform Agent
  • Kubernetes Admission Agent
  • Web3 Deployer/Upgrader Agent
  • Bridge Operator Agent
  • MLOps Deployment Agent

Fail-closed for critical actions.

13. Threat Model and Security Analysis

Threats addressed:

  • token theft and replay → TTL + one-time + context binding
  • compromised runner → attestation requirements + binding to runner identity + least privilege
  • malicious dependency → SBOM/SLSA requirements + artifact signatures
  • insider abuse → deny-wins + approvals + separation of duties + immutable anchoring
  • log tampering → chained evidence + signatures + on-chain Merkle anchoring
  • future cryptographic breaks → hybrid PQC signatures

14. Reliability and Operational Behavior

  • stateless core where possible

  • durable stores for:

    • consumed grants
    • evidence ledger
    • policy bundles

  • HA deployments with quorum and idempotent anchoring

  • controlled degradation:

    • deny high risk on control-plane outage
    • allow read-only / low-risk by policy class

15. Multi-Tenancy and Enterprise Governance

  • isolated keys and policy stores per tenant

  • per-tenant salting for commitments

  • roles:

    • org admin
    • policy maintainer
    • security approver
    • auditor (read-only)
    • incident responder

16. Compliance and Auditability

Q-Trust enables:

  • deterministic replay of decisions
  • cryptographic evidence proofs
  • external validation of audit integrity (on-chain)
  • separation of duties via policy constraints
  • formal “what policy was in effect at time T” through policy hash anchoring

17. Productization and Monetization

  • SaaS pricing by grants/month, agents, tenants, chains, audit epochs

  • enterprise add-ons:

    • HSM
    • advanced governance workflows
    • auditor portal and export formats
    • HA and DR

  • professional services:

    • policy design
    • bridge/oracle governance hardening
    • supply chain posture upgrades

18. Roadmap (Engineering)

Phase 1: Core + CI + anchoring end-to-end Phase 2: IaC + K8s enforcement Phase 3: Web3 deploy/upgrade governance Phase 4: Vault + hybrid PQC signatures Phase 5: MLOps governance module Phase 6: Enterprise hardening, auditor portal, DR

19. Conclusion

Q-Trust Plane treats authorization as a cryptographic governance discipline, not a collection of scattered permissions. By enforcing short-lived context-bound grants, mandatory attestations, and on-chain anchored evidence, it offers a security posture suitable for the most dangerous domains: Web3 bridges, oracles, upgradeable contracts, and high-stakes production infra.

Appendix A — Canonical Encoding Rules (Summary)

  1. Normalize to CPR (Canonical Policy Representation).
  2. Sort object keys lexicographically.
  3. Normalize durations to seconds.
  4. Normalize timestamps to RFC3339 UTC.
  5. Encode boolean expressions as AST nodes.
  6. Apply domain separation prefixes before hashing.
  7. Hash with SHA-256 by default; chain adapter may additionally compute Keccak digests for EVM artifacts.

Appendix B — Reference Schemas (High-Level)

B.1 Authorization Request

  • subject: issuer, claims, roles, workload identity
  • resource: type, chain, network, identifiers
  • action: string
  • context: git metadata, pipeline metadata, environment metadata
  • attestations: digests + verification results

B.2 Evidence Event

  • event_id, timestamp
  • request_digest, policy_hash, grant_digest
  • execution_outputs (typed)
  • prev_event_hash
  • signatures (classic + pqc)
  • anchor_epoch, merkle_leaf_hash

Appendix C — Policy Library (Starter Set)

  • mainnet deploy gates
  • proxy upgrade strict controls
  • bridge signer rotation governance
  • emergency pause procedures
  • terraform production apply gates
  • k8s admission restrictions for privileged pods
  • secrets access leasing rules
  • ml model deployment governance rules