How It Works

Intent EngineDetect sensitive intent before send EnforcementAllow, redact or block in real time The Prompt LayerWhere the risk actually forms

Coverage

IntegrationsChatGPT, Copilot, Claude, Gemini CapabilitiesWhat the layer inspects and controls Managed RolloutForce-install across your fleet

Governance

ReportingBoard-ready exposure evidence Data ResidencyWhere prompt data lives, and does not ArchitectureHow enforcement is wired end to end

Featured

Score Your AI ExposureA 15-question assessment, no sales call

By Sector

LegalPrivilege-aware AI controls for law firms HealthcareProtect patient data in AI workflows Finance and InsuranceAPRA-aligned prompt-layer evidence

Start Here

Exposure AssessmentSee where your AI risk sits today Quick StartFrom install to first policy

Company

AboutOur mission and leadership team CareersBuild the prompt enforcement layer NewsroomAnnouncements and press ContactDemos, partnerships and questions

Newsroom

InsightsArticles, research and product stories SupportHelp for admins and end users

Learn

DocumentationSetup, rollout and admin guides GlossaryPlain-English AI security definitions InsightsArticles, research and product stories

Deploy

Quick StartFrom install to first policy Managed RolloutForce-install across your fleet Users and ProvisioningAccess, roles and directory sync

Trust

SecurityControls, residency and subprocessors ComplianceWhat the AI rules require, and when SupportHelp for admins and end users

Featured

From the BlogWhat we are seeing in prompt data

AI EXPOSURE SELF-ASSESSMENT

Question 1 of 15

How often do people in your organisation use AI chat tools for work?

Think ChatGPT, Copilot, Claude, Gemini or similar, used for any work task.