Security for the AI you build

Keep product ambition connected to practical security across models, software and infrastructure.

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Security across your AI ecosystem

Models
Applications
Agents
Infrastructure
Data

Move fast with a clearer view of exposure.

Complexity grows quickly

Third-party models, open-source components and new agent workflows expand your application boundary.

Release with understanding

Find the risks that matter to your product and give engineers a practical path to address them.

SECURITY FOR TECHNOLOGY TEAMS

Protect the foundations of your AI product

Focused assessment, practical context and clear next steps for your team.

01
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.

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Security workspace◌   ⋯

System & data flow

Applications12
Models04
Owners08
Inventory by environment
Inventory
67%
AssetEnvironmentReview status
Customer assistantProductionOpen finding
Retrieval pipelineStagingReviewed
Model endpointProductionReviewed
Internal agentStagingOpen finding
Illustrative assessment · example data
02
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.

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Security workspace◌   ⋯

Model intake review

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
03
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
Illustrative assessment · example data

Security that connects to delivery

A clearer system inventory

Understand the systems, dependencies and information in scope.

Dependency risk context

Put technical risks in the context of your application.

Focused security testing

Use reproducible findings to guide the work ahead.

Actionable engineering work

Give your team practical, documented next steps.

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“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

Ready to understand your AI risk?

Start with your environment, your priorities and a clearly scoped security assessment.

Book a scoping call