
Most organizations have moved past the question “Can we generate an SBOM?”
The real question now is: Can we rely on it?
And more importantly: Can we reject SBOMs that aren’t good enough - without starting a political fire with Engineering or a supplier?
That’s where minimum requirements come in.
In the last post, we covered the SBOM lifecycle: Generate → Store → Validate → Share → Monitor.
This post zooms into the most neglected step: Validate - and how to define SBOM acceptance criteria that turn SBOMs from “paperwork” into operational control.
NTIA’s minimum elements are an important baseline. They got the industry aligned around the idea that SBOMs should be:
machine-readable
structured
attributable
and complete enough to be exchanged
But here’s the hard truth: “minimum” rarely equals “useful.”
A minimally valid SBOM can still be:
impossible to map to a shipped artifact
missing the identifiers you need to match vulnerability feeds
incomplete in dependencies (especially transitive)
unclear in scope (what’s included vs excluded)
or missing provenance signals that make it trustworthy
So the goal isn’t to “comply with minimum elements.”
The goal is to define acceptance criteria that create repeatable trust.
An SBOM isn’t a moral virtue. It’s an input into workflows.
Your acceptance criteria should be driven by the questions you actually need to answer:
If you care about vulnerability response:
Can we quickly find affected products when a new CVE hits?
Can we match components to vulnerability databases reliably?
If you care about regulated procurement:
Can we prove we requested SBOMs, received them, validated them, and stored evidence?
Can we show an audit trail of what was shared and when?
If you care about supplier governance:
Can we measure SBOM quality and supplier responsiveness over time?
Exodos Labs is built around that operational model: central inventory, quality validation against NTIA + custom policies, secure exchange, and audit trails.
Think of SBOM requirements as a stack. Every layer reduces uncertainty.
Fail fast if:
SBOM isn’t in an agreed format (typically CycloneDX or SPDX)
it doesn’t parse cleanly
it’s missing basic structure (components list, metadata block, etc.)
Why it matters: if tools can’t parse it consistently, everything else becomes manual and error-prone.
Require component identity that’s actually matchable, such as:
component name + version plus robust identifiers (e.g., package URL where feasible)
supplier / author fields filled (not “unknown” everywhere)
timestamps and tool info (so you can reason about freshness and generation context)
Why it matters: vulnerability and license workflows live and die on identifiers. Exodos Labs explicitly supports vulnerability and license risk analysis on top of stored SBOMs - so identifiers are foundational.
This is where many SBOMs “look fine” but fail operationally.
Enforce:
a declared scope (source, binary, container image, OS packages - what’s included?)
dependency relationships when applicable
transitive dependency inclusion where it’s realistic for your environment
Why it matters: most real incidents hide in transitive dependencies. Missing them creates false confidence.
Require the ability to bind the SBOM to:
product / component name
version / release tag
build ID / artifact reference (or equivalent immutable identifier)
Why it matters: without release binding, SBOMs become “maybe” documents. With release binding, they become evidence.
For higher-assurance contexts:
require integrity controls (signing/verification where feasible)
require immutable audit logging of access/share events
require controlled sharing rules (least disclosure, redaction, ABAC)
This is exactly the design direction for secure inter-company SBOM sharing and audit trails.
Here’s a starter policy that works for most teams. Keep it simple at first.
SBOM Acceptance Policy v0.1
Hard fails (reject):
Unparseable SBOM
Unsupported format (not one of your allowed formats)
Missing component name/version for top-level product
Missing timestamps / generation metadata
No stable component identifiers for top-level + critical dependencies
Soft fails (accept but flag / request correction):
Missing license info for non-critical components
Partial dependency graph (if you’re early in adoption)
Missing supplier fields for long-tail components
Missing hashes (if not yet required)
Escalate (block release / require remediation plan):
SBOM fails quality gate for a regulated product line
Supplier repeatedly fails to meet acceptance criteria
SBOM cannot be tied to shipped artifact for customer/regulator delivery
Exodos Labs supports automated SBOM quality validation against NTIA and custom policies, which is exactly the mechanism you need to make this policy enforceable without manual review.
Acceptance criteria are as much a supplier management tool as a security tool.
A good pattern:
Share your acceptance criteria up front (as part of onboarding / procurement)
Provide examples of passing SBOMs
Start with “soft fail + remediation window”
Upgrade to “hard fail” once the supply chain has had time to adapt
Track responsiveness and quality trends over time (this becomes supplier risk scoring)
Next post: SBOM Supplier Request Kit - the templates and workflow you can use to request SBOMs at scale, track status, and stay audit-ready.
If you’re already dealing with SBOM chaos (supplier requests, customer questionnaires, compliance deadlines), Exodos Labs is designed for exactly that: centralized SBOM inventory, automated quality gates, secure exchange, and auditable collaboration.
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