Sensitive context needs care
AI applications can process information across models, integrations and services with different security boundaries.
AI security for healthcare systems
Understand the security of AI workflows that handle sensitive information and support healthcare operations.
Request an assessmentDefined boundariesReview in contextClear next steps
Security across your AI ecosystem
Models
Applications
Agents
Infrastructure
Data
Protect information. Preserve confidence.
Behavior needs validation
Test how an application handles unexpected input and how its actions affect connected systems.
SECURITY FOR HEALTHCARE TEAMS
Assess the systems behind your AI workflows
Focused assessment, practical context and clear next steps for your team.
AI DISCOVERY
Know what you need to protect.
Map AI applications, model dependencies, connected services and the sensitive information moving between them. Build a useful starting point for assessment and ownership.
EXPLORE THE APPROACH →Security workspace◌ ⋯
System & data flow
Applications12
Models04
Owners08
Inventory by environment
Inventory
67%
67%
AssetEnvironmentReview status
Customer assistantProductionOpen finding
Retrieval pipelineStagingReviewed
Model endpointProductionReviewed
Internal agentStagingOpen finding
AI SUPPLY CHAIN SECURITY
Make model intake a security decision.
Review model sources, packages and integration boundaries before bringing them into your environment. Understand the risks behind a dependency, not only its name.
EXPLORE THE APPROACH →Security workspace◌ ⋯
Model intake review
Model artifactDependency reviewOrigin · integrity · formats
ArtifactSourceReview status
Model weightsRegistryIn review
Tokenizer configRepositoryReviewed
Loading scriptRegistryIn review
Package manifestRepositoryReviewed
AI RUNTIME SECURITY
Strengthen the controls around AI.
Review identity, data access, output handling and operational visibility. Design defenses around the application and the consequences of its actions.
EXPLORE THE APPROACH →Security workspace◌ ⋯
Control assessment
Request→Policy→Model→Response
Interaction monitoring
InteractionControlStatus
Retrieved contextInput boundaryReview
Tool invocationOutput policyAllowed
Model responseOutput policyAllowed
A stronger basis for responsible adoption
Understand information flows
Understand the systems, dependencies and information in scope.
Review third-party components
Put technical risks in the context of your application.
Test application behavior
Use reproducible findings to guide the work ahead.
Prioritize practical controls
Give your team practical, documented next steps.
“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 healthcare teams.
Ready to understand your AI risk?
Start with your environment, your priorities and a clearly scoped security assessment.
Book a scoping call