feat: Implement Filesystem and MongoDB provenance writers for PackRun execution context
- Added `FilesystemPackRunProvenanceWriter` to write provenance manifests to the filesystem. - Introduced `MongoPackRunArtifactReader` to read artifacts from MongoDB. - Created `MongoPackRunProvenanceWriter` to store provenance manifests in MongoDB. - Developed unit tests for filesystem and MongoDB provenance writers. - Established `ITimelineEventStore` and `ITimelineIngestionService` interfaces for timeline event handling. - Implemented `TimelineIngestionService` to validate and persist timeline events with hashing. - Created PostgreSQL schema and migration scripts for timeline indexing. - Added dependency injection support for timeline indexer services. - Developed tests for timeline ingestion and schema validation.
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@@ -37,6 +37,11 @@ Each card is a fast read pairing the headline capability with the evidence that
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- **Evidence:** `docs/market/competitive-landscape.md` distils a 15-vendor comparison; `03_VISION.md` lists moats; `docs/reachability/lead.md` details the reachability proof moat.
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- **Why it matters:** Clear differentiation guides roadmap and sales; keeps us focused on replayable, sovereign, and explainable security.
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## 8. Deterministic Task Packs (2025-11)
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- **What it is:** TaskRunner executes declarative Task Packs with plan-hash binding, approvals, sealed-mode enforcement, and DSSE evidence bundles.
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- **Evidence:** Product advisory `docs/product-advisories/29-Nov-2025 - Task Pack Orchestration and Automation.md`; architecture contract in `docs/modules/taskrunner/architecture.md`; runbook/spec in `docs/task-packs/*.md`.
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- **Why it matters:** Security teams get auditable, air-gap-friendly automation with human approvals and provable provenance, reusing the same workflows online or offline.
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### Explore Further
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- Walk the first deployment in [quickstart.md](quickstart.md).
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- Dive into architectural flows in [high-level-architecture.md](high-level-architecture.md).
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