- 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.
		
			
				
	
	
		
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			Markdown
		
	
	
	
	
	
# Policy Engine Overview
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> **Goal:** Evaluate organisation policies deterministically against scanner SBOMs, Concelier advisories, and Excititor VEX evidence, then publish effective findings that downstream services can trust.
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This document introduces the v2 Policy Engine: how the service fits into Stella Ops, the artefacts it produces, the contracts it honours, and the guardrails that keep policy decisions reproducible across air-gapped and connected deployments.
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---
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## 1 · Role in the Platform
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- **Purpose:** Compose policy verdicts by reconciling SBOM inventory, advisory metadata, VEX statements, and organisation rules.
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- **Form factor:** Dedicated `.NET 10` Minimal API host (`StellaOps.Policy.Engine`) plus worker orchestration. Policies are defined in `stella-dsl@1` packs compiled to an intermediate representation (IR) with a stable SHA-256 digest.
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- **Tenancy:** All workloads run under Authority-enforced scopes (`policy:*`, `findings:read`, `effective:write`). Only the Policy Engine identity may materialise effective findings collections.
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- **Consumption:** Findings ledger, Console, CLI, and Notify read the published `effective_finding_{policyId}` materialisations and policy run ledger (`policy_runs`).
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- **Offline parity:** Bundled policies import/export alongside advisories and VEX. In sealed mode the engine degrades gracefully, annotating explanations whenever cached signals replace live lookups.
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---
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## 2 · High-Level Architecture
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```mermaid
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flowchart LR
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    subgraph Inputs
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        A[Scanner SBOMs<br/>Inventory & Usage]
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        B[Concelier Advisories<br/>Canonical linksets]
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        C[Excititor VEX<br/>Consensus status]
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        D[Policy Packs<br/>stella-dsl@1]
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    end
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    subgraph PolicyEngine["StellaOps.Policy.Engine"]
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        P1[DSL Compiler<br/>IR + Digest]
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        P2[Joiners<br/>SBOM ↔ Advisory ↔ VEX]
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        P3[Deterministic Evaluator<br/>Rule hits + scoring]
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        P4[Materialisers<br/>effective findings]
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        P5[Run Orchestrator<br/>Full & incremental]
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    end
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    subgraph Outputs
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        O1[Effective Findings Collections]
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        O2[Explain Traces<br/>Rule hit lineage]
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        O3[Metrics & Traces<br/>policy_run_seconds,<br/>rules_fired_total]
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        O4[Simulation/Preview Feeds<br/>CLI & Studio]
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    end
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    A --> P2
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    B --> P2
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    C --> P2
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    D --> P1 --> P3
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    P2 --> P3 --> P4 --> O1
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    P3 --> O2
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    P5 --> P3
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    P3 --> O3
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    P3 --> O4
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```
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---
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## 3 · Core Concepts
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| Concept | Description |
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|---------|-------------|
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| **Policy Pack** | Versioned bundle of DSL documents, metadata, and checksum manifest. Packs import/export via CLI and Offline Kit bundles. |
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| **Policy Digest** | SHA-256 of the canonical IR; used for caching, explain trace attribution, and audit proofs. |
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| **Effective Findings** | Append-only Mongo collections (`effective_finding_{policyId}`) storing the latest verdict per finding, plus history sidecars. |
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| **Policy Run** | Execution record persisted in `policy_runs` capturing inputs, run mode, timings, and determinism hash. |
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| **Explain Trace** | Structured tree showing rule matches, data provenance, and scoring components for UI/CLI explain features. |
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| **Simulation** | Dry-run evaluation that compares a candidate pack against the active pack and produces verdict diffs without persisting results. |
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| **Incident Mode** | Elevated sampling/trace capture toggled automatically when SLOs breach; emits events for Notifier and Timeline Indexer. |
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---
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## 4 · Inputs & Pre-processing
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### 4.1 SBOM Inventory
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- **Source:** Scanner.WebService publishes inventory/usage SBOMs plus BOM-Index (roaring bitmap) metadata.
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- **Consumption:** Policy joiners use the index to expand candidate components quickly, keeping evaluation under the `< 5 s` warm path budget.
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- **Schema:** CycloneDX Protobuf + JSON views; Policy Engine reads canonical projections via shared SBOM adapters.
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### 4.2 Advisory Corpus
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- **Source:** Concelier exports canonical advisories with deterministic identifiers, linksets, and equivalence tables.
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- **Contract:** Policy Engine only consumes raw `content.raw`, `identifiers`, and `linkset` fields per Aggregation-Only Contract (AOC); derived precedence remains a policy concern.
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### 4.3 VEX Evidence
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- **Source:** Excititor consensus service resolves OpenVEX / CSAF statements, preserving conflicts.
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- **Usage:** Policy rules can require specific VEX vendors or justification codes; evaluator records when cached evidence substitutes for live statements (sealed mode).
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### 4.4 Policy Packs
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- Authored in Policy Studio or CLI, validated against the `stella-dsl@1` schema.
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- Compiler performs canonicalisation (ordering, defaulting) before emitting IR and digest.
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- Packs bundle scoring profiles, allowlist metadata, and optional reachability weighting tables.
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---
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## 5 · Evaluation Flow
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1. **Run selection** – Orchestrator accepts `full`, `incremental`, or `simulate` jobs. Incremental runs listen to change streams from Concelier, Excititor, and SBOM imports to scope re-evaluation.
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2. **Input staging** – Candidates fetched in deterministic batches; identity graph from Concelier strengthens PURL lookups.
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3. **Rule execution** – Evaluator walks rules in lexical order (first-match wins). Actions available: `block`, `ignore`, `warn`, `defer`, `escalate`, `requireVex`, each supporting quieting semantics where permitted.
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4. **Scoring** – `PolicyScoringConfig` applies severity, trust, reachability weights plus penalties (`warnPenalty`, `ignorePenalty`, `quietPenalty`).
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5. **Verdict and explain** – Engine constructs `PolicyVerdict` records with inputs, quiet flags, unknown confidence bands, and provenance markers; explain trees capture rule lineage.
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6. **Materialisation** – Effective findings collections are upserted append-only, stamped with run identifier, policy digest, and tenant.
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7. **Publishing** – Completed run writes to `policy_runs`, emits metrics (`policy_run_seconds`, `rules_fired_total`, `vex_overrides_total`), and raises events for Console/Notify subscribers.
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---
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## 6 · Run Modes
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| Mode | Trigger | Scope | Persistence | Typical Use |
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|------|---------|-------|-------------|-------------|
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| **Full** | Manual CLI (`stella policy run`), scheduled nightly, or emergency rebaseline | Entire tenant | Writes effective findings and run record | After policy publish or major advisory/VEX import |
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| **Incremental** | Change-stream queue driven by Concelier/Excititor/SBOM deltas | Only affected artefacts | Writes effective findings and run record | Continuous upkeep; ensures SLA ≤ 5 min from source change |
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| **Simulate** | CLI/Studio preview, CI pipelines | Candidate subset (diff against baseline) | No materialisation; produces explain & diff payloads | Policy authoring, CI regression suites |
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All modes are cancellation-aware and checkpoint progress for replay in case of deployment restarts.
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---
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## 7 · Outputs & Integrations
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- **APIs** – Minimal API exposes policy CRUD, run orchestration, explain fetches, and cursor-based listing of effective findings (see `/docs/api/policy.md` once published).
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- **CLI** – `stella policy simulate/run/show` commands surface JSON verdicts, exit codes, and diff summaries suitable for CI gating.
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- **Console / Policy Studio** – UI reads explain traces, policy metadata, approval workflow status, and simulation diffs to guide reviewers.
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- **Findings Ledger** – Effective findings feed downstream export, Notify, and risk scoring jobs.
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- **Air-gap bundles** – Offline Kit includes policy packs, scoring configs, and explain indexes; export commands generate DSSE-signed bundles for transfer.
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---
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## 8 · Determinism & Guardrails
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- **Deterministic inputs** – All joins rely on canonical linksets and equivalence tables; batches are sorted, and random/wall-clock APIs are blocked by static analysis plus runtime guards (`ERR_POL_004`).
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- **Stable outputs** – Canonical JSON serializers sort keys; digests recorded in run metadata enable reproducible diffs across machines.
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- **Idempotent writes** – Materialisers upsert using `{policyId, findingId, tenant}` keys and retain prior versions with append-only history.
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- **Sandboxing** – Policy evaluation executes in-process with timeouts; restart-only plug-ins guarantee no runtime DLL injection.
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- **Compliance proof** – Every run stores digest of inputs (policy, SBOM batch, advisory snapshot) so auditors can replay decisions offline.
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---
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## 9 · Security, Tenancy & Offline Notes
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- **Authority scopes:** Gateway enforces `policy:read`, `policy:write`, `policy:simulate`, `policy:runs`, `findings:read`, `effective:write`. Service identities must present DPoP-bound tokens.
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- **Tenant isolation:** Collections partition by tenant identifier; cross-tenant queries require explicit admin scopes and return audit warnings.
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- **Sealed mode:** In air-gapped deployments the engine surfaces `sealed=true` hints in explain traces, warning about cached EPSS/KEV data and suggesting bundle refreshes (see `docs/airgap/airgap-mode.md`).
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- **Observability:** Structured logs carry correlation IDs matching orchestrator job IDs; metrics integrate with OpenTelemetry exporters; sampled rule-hit logs redact policy secrets.
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- **Incident response:** Incident mode can be forced via API, boosting trace retention and notifying Notifier through `policy.incident.activated` events.
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---
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## 10 · Working with Policy Packs
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1. **Author** in Policy Studio or edit DSL files locally. Validate with `stella policy lint`.
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2. **Simulate** against golden SBOM fixtures (`stella policy simulate --sbom fixtures/*.json`). Inspect explain traces for unexpected overrides.
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3. **Publish** via API or CLI; Authority enforces review/approval workflows (`draft → review → approve → rollout`).
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4. **Monitor** the subsequent incremental runs; if determinism diff fails in CI, roll back pack while investigating digests.
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5. **Bundle** packs for offline sites with `stella policy bundle export` and distribute via Offline Kit.
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---
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## 11 · Compliance Checklist
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- [ ] **Scopes enforced:** Confirm gateway policy requires `policy:*` and `effective:write` scopes for all mutating endpoints.
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- [ ] **Determinism guard active:** Static analyzer blocks clock/RNG usage; CI determinism job diffing repeated runs passes.
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- [ ] **Materialisation audit:** Effective findings collections use append-only writers and retain history per policy run.
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- [ ] **Explain availability:** UI/CLI expose explain traces for every verdict; sealed-mode warnings display when cached evidence is used.
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- [ ] **Offline parity:** Policy bundles (import/export) tested in sealed environment; air-gap degradations documented for operators.
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- [ ] **Observability wired:** Metrics (`policy_run_seconds`, `rules_fired_total`, `vex_overrides_total`) and sampled rule hit logs emit to the shared telemetry pipeline with correlation IDs.
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- [ ] **Documentation synced:** API (`/docs/api/policy.md`), DSL grammar (`/docs/policy/dsl.md`), lifecycle (`/docs/policy/lifecycle.md`), and run modes (`/docs/policy/runs.md`) cross-link back to this overview.
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---
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*Last updated: 2025-10-26 (Sprint 20).*
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