guac v0.4 releases: Graph for Understanding Artifact Composition

GUAC: Graph for Understanding Artifact Composition

Graph for Understanding Artifact Composition (GUAC) aggregates software security metadata into a high-fidelity graph database—normalizing entity identities and mapping standard relationships between them. Querying this graph can drive higher-level organizational outcomes such as audit, policy, risk management, and even developer assistance.

Conceptually, GUAC occupies the “aggregation and synthesis” layer of the software supply chain transparency logical model:

A few examples of questions answered by GUAC include:

GUAC has four major areas of functionality:

1. Collection
   GUAC can be configured to connect to a variety of sources of software security metadata. Some sources may be open and public (e.g., OSV); some may be first-party (e.g., an organization’s internal repositories); some may be proprietary third-party (e.g., from data vendors).
2. Ingestion
   From its upstream data sources, GUAC imports data on artifacts, projects, resources, vulnerabilities, repositories, and even developers.
3. Collation
   Having ingested raw metadata from disparate upstream sources, GUAC assembles it into a coherent graph by normalizing entity identifiers, traversing the dependency tree, and reifying implicit entity relationships, e.g., project → developer; vulnerability → software version; artifact → source repo, and so on.
4. Query
   Against an assembled graph one may query for metadata attached to, or related to, entities within the graph. Querying for a given artifact may return its SBOM, provenance, build chain, project scorecard, vulnerabilities, and recent lifecycle events — and those for its transitive dependencies.

Changelog v0.4

Highlights

• Addition of a new KeyValue backend (Redis and TiKV)
• Update and improve guacone CLI
• Add new graphQL Custom Directives contains and startswith
• Various updates to arangoDB and ENT backend
• REST API initial implementation
• Various bug fixes and improvements

Install & Use

Copyright 2022 The GUAC Authors