Model artefact provenance

Expanded Definition

Model artefact provenance is the evidence trail that shows where a model package originated, how it moved through build and release systems, and whether any component was altered before deployment. In agentic and autonomous environments, the term is broader than model weights alone: it should include tokenizers, configuration files, policy prompts, adapters, dependency manifests, signatures, and any wrapper code that changes execution behaviour.

Provenance matters because a model artefact can be technically valid yet still unsafe if it was sourced from an untrusted registry, repackaged by an intermediary, or rebuilt from components with mismatched hashes. That is why provenance is increasingly discussed alongside supply chain integrity, software bill of materials practices, and identity-aware release controls in the NIST Cybersecurity Framework 2.0. Definitions vary across vendors on whether provenance stops at the artefact signature or extends to every upstream dependency, but NHIMG treats the full package as the security boundary for NHI and agent deployments.

The most common misapplication is assuming a signed model file alone proves trust, which occurs when teams ignore the tokenizer, prompt bundle, or adapter layers that were changed after signing.

Examples and Use Cases

Implementing model artefact provenance rigorously often introduces release friction, requiring organisations to weigh faster model promotion against stronger verification and rollback control.

• A team approves a foundation model only after verifying the registry source, digest, signature, and attached metadata bundle, not just the weight file.
• An AI agent is blocked from deployment because its adapter layer was rebuilt from an internal branch with no traceable approval history.
• A security review traces a suspicious output to a modified tokenizer package that changed how special control tokens were interpreted.
• A platform team links model release records to non-human identity ownership so that only approved service accounts can publish artefacts.

These controls align with the broader NHI governance principles described in Ultimate Guide to NHIs, where traceability, lifecycle discipline, and least privilege are treated as operational necessities rather than optional documentation. In adjacent standards work, provenance expectations are often compared with software supply chain validation patterns in NIST Cybersecurity Framework 2.0.

Another common use case is third-party model intake, where an organisation requires attestations for source repository, build process, and signing authority before a model can be imported into production.

Why It Matters in NHI Security

Model artefact provenance is a control point for preventing hidden tampering from becoming a runtime identity problem. If an agent executes a compromised model package, the resulting behaviour can create unauthorised tool use, credential exposure, policy bypass, or covert exfiltration through trusted automation paths. That is especially dangerous in environments where service accounts already have broad access and where the artefact itself is treated as implicitly trusted.

This matters at scale because NHI exposure is already widespread: NHI Mgmt Group reports that 80% of identity breaches involved compromised non-human identities such as service accounts and API keys in its Ultimate Guide to NHIs. Provenance helps separate legitimate model behaviour from compromised supply chain behaviour, which is critical when incident responders need to determine whether the problem is the agent, the artefact, or the identity that launched it.

Organisations typically encounter the impact only after a model update triggers abnormal tool calls or data access, at which point provenance becomes operationally unavoidable to address.

Related resources from NHI Mgmt Group

• Who should own model provenance and template governance in AI programmes?
• Model Packaging Provenance
• Model Provenance
• What is the Model Context Protocol (MCP) and why does it matter for security?