AI Supply Chain Security

Understand what’s
inside your AI
supply chain.

Inspect the models and dependencies your AI relies on. Practical assessment and engineering for the way your team works.

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Security workspace◌   ⋯

AI Supply Chain Security workspace

Model artifactDependency reviewOrigin · integrity · formats
Findings by category
Code · Packages · Models · Config
ArtifactSourceReview status
Model weightsRegistryIn review
Tokenizer configRepositoryReviewed
Loading scriptRegistryIn review
Package manifestRepositoryReviewed
Illustrative assessment · example data

Security across your AI ecosystem

Models
Applications
Agents
Infrastructure
Data

Every dependency
introduces a decision.

Opaque vendors

Get visibility into the systems and integrations that create exposure.

Untrusted open models

Understand the context, ownership and controls around each risk.

Conventional scanning gaps

Translate the findings into concrete next steps and verification.

AI Supply Chain Security
from evidence to action.

Review the right signals. Understand the context. Prioritize the next step.

Security workspace◌   ⋯

File inspection

Applications12
Models04
Owners08
Inventory by environment
Inventory
67%
AssetEnvironmentReview status
Customer assistantProductionOpen finding
Retrieval pipelineStagingReviewed
Model endpointProductionReviewed
Internal agentStagingOpen finding
Illustrative assessment · example data
✓ Evidence connectedFile inspection · illustrative workflow

From visibility
to stronger defenses.

Connect technical depth with an actionable security plan.

Risk assessment

Map the assets, entry points and dependencies in the agreed scope.

CloudModelsAppsAgentsData

Governance

Identify gaps and define controls your team can put into practice.

SourceArtifactReviewRelease

Bill of materials

Connect evidence to owners, priorities and remediation work.

AI assetsReview queue

Genealogy

Bring security context into architecture and delivery decisions.

InventoryTestingPolicyOperations

Posture management

Document the result and agree how controls will be validated.

AssetOwnerRiskRemediationEvidence

Our approach

“Start with the real system. Agree the assets, boundaries and outcomes before testing begins.”
01 / ScopeVirtual Arc Security · engagement process

Innovation Hub

Explore AI security.

Perspectives, practical starting points and external research.

Explore the hub

Build AI with security in mind.

Start with a clear view of your risks and a practical plan to address them.

Book a scoping call