Innovation changes the boundary
New models, tools and services can bring unfamiliar risks into a familiar workflow.
Move AI forward with confidence
Give your team a practical route from promising AI experiments to better protected applications.
Request an assessmentDefined boundariesReview in contextClear next steps
Security across your AI ecosystem
Models
Applications
Agents
Infrastructure
Data
Build momentum. Understand the risk.
Make security actionable
Translate assessment findings into decisions your product and engineering teams can use.
Security work that supports the next stage of AI
Focused assessment, practical context and clear next steps for your team.
AI DISCOVERY
Bring shadow AI into view.
Identify AI tools, model services and experiments across your organization. Give the next assessment a clear scope and connect each system to the people responsible for it.
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
Review what your team adopts.
Understand the sources, dependencies and loading behavior behind third-party models. Make intake decisions with the deployment context and the application’s information flows in view.
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 ATTACK SIMULATION
Validate behavior before rollout.
Challenge important workflows with adversarial scenarios before a wider release. Document what happens and give your engineering team practical findings to work through.
EXPLORE THE APPROACH →Security workspace◌ ⋯
Adversarial test findings
Input scope→Test scenarios→Review findings
↓
Prompt boundaries
Injection / contextData handling
Retrieval / responseTool permissions
Actions / approval
Injection / contextData handling
Retrieval / responseTool permissions
Actions / approval
Assessment evidence
Scenario reproducedReady
Remediation proposedIn review
Retest plannedScheduled
AI RUNTIME SECURITY
Plan protection for production.
Review access, monitoring and operational boundaries around the application. Define how the team should recognize unexpected behavior and limit its consequences.
EXPLORE THE APPROACH →Security workspace◌ ⋯
Control assessment
Request→Policy→Model→Response
Interaction monitoring
InteractionControlStatus
Retrieved contextInput boundaryReview
Tool invocationOutput policyAllowed
Model responseOutput policyAllowed
Build a stronger foundation for adoption
Clearer release decisions
Understand the systems, dependencies and information in scope.
More informed adoption
Put technical risks in the context of your application.
Focused testing
Use reproducible findings to guide the work ahead.
Documented ownership
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 AI leaders.
Ready to understand your AI risk?
Start with your environment, your priorities and a clearly scoped security assessment.
Book a scoping call