AI Governance
Secure AI Adoption
AI is transforming how organizations work, but uncontrolled adoption creates data leakage, compliance, and intellectual property risks. RavGuard builds governance frameworks that let your organization harness AI productivity while maintaining security and compliance boundaries.
AI Governance Framework
RavGuard develops an AI governance framework tailored to your organization covering acceptable use policies, approved tool lists, data classification rules for AI interactions, and employee training programs. This framework provides clear guardrails that enable safe adoption while preventing shadow AI usage that puts your data at risk.
Acceptable Use Policy
Clear policies defining which AI tools are approved, what data can be shared with them, and how outputs should be reviewed and validated.
Data Classification
Rules that specify which data categories can interact with AI services and which must remain off-limits, mapped to your sensitivity labels.
Employee Training
Training programs that educate employees on responsible AI use, data handling expectations, and how to identify AI-generated content risks.
Technical Controls for AI
Policies alone are not enough. RavGuard deploys technical controls that enforce AI governance at the network and application layer. DNS Filter blocks unauthorized AI services, DLP policies prevent sensitive data from being pasted into public AI tools, and Microsoft Purview monitors for data leakage through AI channels.
Shadow AI Detection
DNS Filter and network monitoring identify employees using unauthorized AI services, providing visibility into unapproved tool usage across the organization.
DLP for AI Interactions
Data loss prevention policies monitor clipboard activity, browser-based AI tool usage, and API-based AI integrations to prevent sensitive data from leaving your control.
Adopt AI Responsibly
Enable AI Without the Risk
Book a consultation to build an AI governance framework that lets your organization move fast while staying secure.