AI security for public sector systems

Review AI applications with mission continuity, information handling and operational boundaries in view.

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Security across your AI ecosystem

Models
Applications
Agents
Infrastructure
Data

Protect the mission as systems evolve.

New tools, established duties

AI adoption brings additional dependencies and information flows into environments with complex responsibilities.

Define the boundary

Assess deployment conditions, access policies and connected services against the needs of your operation.

SECURITY FOR PUBLIC SECTOR TEAMS

A deliberate approach to public sector AI

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.

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Security workspace◌   ⋯

Control assessment

Request→Policy→Model→Response
Interaction monitoring
InteractionControlStatus
Retrieved contextInput boundaryReview
Tool invocationOutput policyAllowed
Model responseOutput policyAllowed
Illustrative assessment · example data

Clear evidence for informed decisions

Defined system boundaries

Understand the systems, dependencies and information in scope.

Dependency visibility

Put technical risks in the context of your application.

Practical control validation

Use reproducible findings to guide the work ahead.

Documented next steps

Give your team practical, documented next steps.

Request an assessment

“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