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Cryptographic bill of materials

Generate a CBOM that stays connected to evidence and remediation

Qubrisk produces machine-readable CBOM output and keeps the operational context that a static file cannot: scan scope, evidence confidence, ownership, policy decisions, change history, and migration work.

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Decision brief

Primary query
cryptographic bill of materials software
Best for
Teams that need reviewable cryptographic evidence, ownership, and continuous migration control.
Safety boundary
Evidence supports decisions; it is not proof of implementation safety or compliance.

A cryptographic bill of materials describes cryptographic assets and their relationships to software components. The format is valuable because it makes inventory portable, but a valid JSON file is not automatically complete or correct. Buyers should evaluate how the tool discovered each asset, how it represents uncertainty, whether relationships are preserved, and whether the output can be reproduced after a code change.

Qubrisk emits CycloneDX-compatible cryptographic assets alongside the local evidence used to create them. Stable identifiers make diffs useful in pull requests and repeated scans. Teams can see whether a change added, removed, or modified a cryptographic dependency and then route only relevant drift into policy or remediation workflows.

Capabilities

What the operating model needs to do

01

CycloneDX output

Represent cryptographic assets and software relationships in an open, machine-readable BOM format.

02

Reproducible generation

Keep scanner version, rule bundle, scope, timestamp, and evidence confidence with each run.

03

CBOM diff

Compare baseline and proposed changes so CI focuses on newly introduced cryptographic risk.

04

Operational context

Connect exported assets back to owners, policies, exceptions, projects, and verification history.

Workflow

A repeatable path to evidence

Use explicit scope, accountable decisions, and verification gates. Keep unknowns visible so progress is not manufactured by narrowing the denominator.

  1. 1

    Collect

    Scan approved repositories and surfaces locally, preserving redacted evidence and exact locations.

  2. 2

    Normalize

    Resolve algorithm names, libraries, certificates, protocols, and dependencies into stable asset records.

  3. 3

    Generate

    Create CycloneDX CBOM and SARIF artifacts suitable for machines and engineering review.

  4. 4

    Maintain

    Regenerate in CI, review diffs, and keep the organizational inventory synchronized with deployed change.

Expected deliverables

Artifacts the next team can inspect

  • CycloneDX CBOM JSON
  • SARIF findings for code review
  • Asset-to-component relationships
  • Scan provenance and confidence
  • Baseline-to-change diff

Buyer checklist

Questions for a proof of value

  1. 01Which CycloneDX versions and cryptographic structures are supported?
  2. 02How does the generator represent ambiguous detections?
  3. 03Are asset relationships and source locations preserved?
  4. 04Can generation run in CI without source upload?
  5. 05Can we reproduce and validate the same output independently?

Limits and cautions

What this page does not promise

  • A CBOM describes observed assets; it does not prove implementation correctness.
  • Schema validity does not establish discovery completeness.
  • CycloneDX 1.6 and 1.7 differ in how some CBOM structures are represented; consumers must agree on the target.

Primary sources

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Inventory quantum-vulnerable cryptography, prioritize systems, plan migration waves, capture interoperability tests, and verify post-quantum changes without claiming automatic safety.

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A quantum readiness assessment grounded in evidence, not a single score

Assess discovery coverage, quantum-vulnerable assets, ownership, vendor dependencies, data lifetime, migration capability, and verification readiness.

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Implementation guide

How to build and maintain a cryptographic inventory

A practical guide to inventory scope, evidence, asset identity, confidence, ownership, CBOM export, continuous discovery, and migration use.

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Local-first discovery

Start with evidence from one representative repository

Run a scoped scan, inspect every result, export the CBOM, and decide whether the evidence is strong enough to support your operating model.

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