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git.stella-ops.org/docs/modules/policy/implementation_plan.md
master 7b5bdcf4d3 feat(docs): Add comprehensive documentation for Vexer, Vulnerability Explorer, and Zastava modules 
- Introduced AGENTS.md, README.md, TASKS.md, and implementation_plan.md for Vexer, detailing mission, responsibilities, key components, and operational notes.
- Established similar documentation structure for Vulnerability Explorer and Zastava modules, including their respective workflows, integrations, and observability notes.
- Created risk scoring profiles documentation outlining the core workflow, factor model, governance, and deliverables.
- Ensured all modules adhere to the Aggregation-Only Contract and maintain determinism and provenance in outputs.
2025-10-30 00:09:39 +02:00

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Implementation plan — Policy Engine

Delivery phases

  • Phase 1 – Deterministic evaluation core
    Finalise DSL compiler, runtime guardrails, evaluation workers, change-stream integration (advisories, VEX, SBOM), and append-only effective findings.
  • Phase 2 – Orchestration & incremental runs
    Implement run scheduler, incremental deltas, change-stream replay, simulation hooks, and determinism hashing.
  • Phase 3 – Policy Studio workflows
    Deliver policy registry, versioning, approvals, explain trace API, client editor integration, and signed promotion pipelines.
  • Phase 4 – Simulation & approvals
    Provide diff/simulation APIs, approval queues, change management, and integration with CLI/Console.
  • Phase 5 – Exports & offline parity
    Produce policy bundles, explain archives, Offline Kit assets, and deterministic manifests; integrate with Export Center.
  • Phase 6 – Observability & hardening
    Ship metrics, logs, traces, incident response runbooks, guardrail analyzers, and compliance attestations.

Work breakdown

  • Evaluation engine
    • DSL compiler with caching, static analysis, and guard rails (no wall-clock/random/network outside allowlist).
    • Batch evaluator with deterministic ordering, change-stream inputs, policy IR caching.
    • Explain trace generation, evidence linking, storage in object store.
  • Run orchestration
    • Scheduler for incremental runs, job leasing, fair-share per tenant/policy.
    • Determinism hash + replay verification, time-travel snapshots, resume cursors.
    • Simulation endpoints returning diff summaries, rationale breakdown, exit codes.
  • Policy Studio
    • Policy registry (draft→review→approved), signed promotion pipeline, approvals workflow (multi-step).
    • Console integration (editor, simulation, approvals, explain viewer) and CLI parity.
  • Integrations
    • Inputs: Concelier, Excititor, SBOM Service, VEX Lens, runtime signals.
    • Outputs: Findings ledger, Vuln Explorer, Notify (policy events), Export Center (policy bundles).
    • Authority scopes, tenancy enforcement, RBAC for policy author/reviewer/operator.
  • Observability & compliance
    • Metrics: run duration, evaluation verdict counts, simulation latency, guard violations.
    • Logs/traces with trace ID propagation, policy version references, tenant scoping.
    • Guard analyzers (static + runtime), unit/property tests, compliance reports.
  • Docs & tooling
    • Update DSL guide, policy lifecycle/runbooks, simulation manual, CLI reference, Offline Kit instructions.
    • Provide sample policies, fixtures, and analyzer rules.

Acceptance criteria

  • Evaluation engine deterministic across runs; effective findings materialised only by Policy Engine; guardrails prevent forbidden IO.
  • Incremental runs handle advisory/VEX/SBOM deltas within ≤5 min SLA; determinism hash and replay verification succeed.
  • Policy Studio supports draft/review/approval, signed promotions, simulation diffing, and explain traces in UI/CLI.
  • Exports (policy bundles, explain archives) reproducible with signed manifests; Offline Kit packages deliver same tooling.
  • Observability dashboards show run metrics, guard violations, simulation usage; alerts trigger on determinism hash mismatch or backlog.
  • CLI/Console parity for policy management, simulation, approvals, and export workflows.

Risks & mitigations

  • Non-determinism: strict static analysis, runtime guard, determinism hash, replay tests.
  • Policy drift vs reality: simulation diff previews, approval workflow, history/audit trail.
  • Scaling evaluations: sharded workers, incremental deltas, caching, job queue fairness.
  • Guard bypass: analyzers integrated into CI, runtime guard rejects forbidden operations.
  • Offline compliance: deterministic exports, manifest verification, documentation for sealed-mode deployments.

Test strategy

  • Unit: DSL parsing, guard analyzer, evaluation pipeline, simulation diff calculations.
  • Property: randomised policy inputs verifying determinism and guard enforcement.
  • Integration: Concelier/Excititor/SBOM feeds → Policy Engine → findings ledger, simulation, approvals.
  • Performance: evaluation throughput, change-stream backlog recovery, simulation under load.
  • Security/compliance: RBAC/tenancy, analyzer enforcement, audit logging, signed promotions.
  • Offline: export/import of policy bundles, explain archives, CLI verification.

Definition of done

  • Policy Engine core, orchestration, Policy Studio workflows, exports, and observability delivered with runbooks and Offline Kit parity.
  • Documentation suite (overview, architecture, DSL, lifecycle, Studio, simulation, CLI) updated with imposed rule statements.
  • ./TASKS.md and ../../TASKS.md reflect status; analyzers integrated into CI; compliance evidence captured.