AI Risk & Governance
for Modern Cloud Teams
Understand how AI is used across your organization, identify sensitive data exposure, and enforce governance at scale.
The Challenge
AI is Moving Faster Than Governance
Teams are adopting AI tools faster than security and compliance can keep up. Without visibility and controls, organizations face data, cost, and regulatory risk.
Employees are using AI tools with no centralized visibility
Sensitive data, including PII, credentials, and internal documents, is being pasted into prompts
AI costs are growing without clear team ownership or budget controls
There is no centralized policy enforcement or governance framework in place
Capabilities
What You See with CompliTru
Complete visibility into AI usage, risk, cost, and policy compliance.
AI App Inventory
See every AI tool in use across your organization, with usage volume, user counts, and risk classification.
Sensitive Data Exposure Detection
Flag when PII, PHI, credentials, source code, or internal documents enter AI prompts and workflows.
AI Cost Monitoring
Break down AI spending by app, team, and user. Identify cost trends before budgets slip.
Policy & Governance Controls
Define which AI tools are approved, restricted, or under review. Track violations and enforce usage policies.
Inside the platform
See what AI governance looks like in practice
Real dashboards your security and compliance teams will actually use every day.
See exactly which employees are putting PII, secrets, source code, and financial data into AI tools.
Engagement
AI Security & Governance Sprint
A focused 2 to 3 week engagement to identify AI usage, surface risk and cost drivers, and deliver an executive-ready action plan.
What is included
AI app usage visibility across your environment
Sensitive data exposure analysis and risk classification
Governance gap assessment against internal policies
AI cost breakdown by app, team, and user
Executive summary with prioritized recommendations
Deliverable
What the Executive Summary Looks Like
Every sprint delivers a clear, actionable report covering your top AI risks, cost insights, and prioritized next steps.
Top Risks
4 critical data exposure events involving PII and credentials
2 restricted AI tools still in active use
AI spend growing 19% month-over-month without team budgets
Cost Insights
Monthly AI Spend
$4,884
Top Cost Driver
GitHub Copilot
Projected Q2
~$17,400
Recommended Actions
Rotate exposed AWS credentials from Claude prompt
Block network access to restricted AI tools
Establish per-team AI cost budgets
Complete legal review of Gemini data handling
Get Control Over AI Risk
Before It Becomes a Problem
Start with a focused sprint. Get a clear picture of AI usage, risk, cost, and governance gaps in 2 to 3 weeks.
Book Your AI Security Sprint