Trust needs a defined basis
Understand where a model came from, how it reaches your environment and which assumptions your deployment makes about it.
Know what enters your AI stack
Review model artifacts and dependencies before making them part of your application.
Request an assessmentSecurity across your AI ecosystem
Models
Applications
Agents
Infrastructure
Data
A model is part of your software supply chain.
Model artifacts and the tools used to load them can carry risks beyond the model’s intended behavior. We review provenance, formats, packages and deployment context to help your team make more informed intake decisions.
Untrusted
instructionsASSESSMENT AREA
Information
exposureASSESSMENT AREA
Unsafe tool
permissionsASSESSMENT AREA
Artifacts deserve technical review
Assess risky loading behavior, dependencies and integrity checks alongside the surrounding infrastructure.
Review the model, its source and its dependencies
Artifact and payload review
Review how external instructions and data influence application behavior across the workflow.
Dependency risk assessment
Examine the context, data and trust assumptions that shape decisions and responses.
Provenance and integrity checks
Test important security boundaries with practical scenarios and document what happens.
Model loading and deployment
Connect the review to the frameworks, services and engineering practices your team uses.
BENEFITS
A practical model intake review
A focused review of the controls, connections and behaviors that matter to your application.
Request an assessmentKnow your artifact sources
Establish the context behind the system and the decisions it makes.
Review loading behavior
Understand the boundaries and assumptions behind important actions.
Understand dependency exposure
Review practical risks in the context of your application.
Document integrity checks
Give your team evidence they can reproduce and understand.
Make informed intake decisions
Translate findings into focused engineering improvements.
A clear assessment process
Agree the systems and questions in view.
Test the boundaries. Document the evidence.
Prioritize changes and review important fixes.
“A security assessment should make the next decision clearer. We connect technical findings to your application, your priorities and the work your team can take forward.”
Useful evidence. Clear next steps.Our assessment approach
RESOURCESMake informed
Explore resourcesMake informed
security decisions.
Practical perspectives for teams building and operating AI systems.
Ready to review your AI supply chain?
Tell us what you are building and the security questions your team needs to answer.
Book a scoping call