AI Governance
AI Risk Assessment
Before you can govern AI, you need to understand where it already lives in your organization. RavGuard conducts comprehensive AI risk assessments that map current AI usage, identify shadow AI tools, evaluate data exposure risks, and produce a prioritized roadmap for secure AI adoption.
Assessment Process
Our AI risk assessment follows a structured methodology that combines technical scanning with stakeholder interviews and policy review. We examine network traffic for AI service connections, audit application inventories for AI-powered tools, review data handling practices, and assess the regulatory implications of current AI usage patterns.
Discovery & Inventory
Network analysis and application audits identify every AI tool in use, both sanctioned and unsanctioned, across your organization.
Data Flow Mapping
We trace how data moves between your systems and AI services, identifying where sensitive information may be leaving your controlled environment.
Risk Scoring
Each AI tool and data flow is scored based on data sensitivity, regulatory exposure, contractual obligations, and vendor security posture.
What You Receive
The assessment produces a comprehensive report with findings, risk ratings, and a prioritized remediation roadmap. This is not a generic checklist. Every recommendation is specific to your environment, your industry, and your risk tolerance. The roadmap provides a phased approach to bringing AI usage under governance without disrupting the productivity gains your teams have already realized.
Risk Report
A detailed document mapping all AI tools, data flows, and associated risks with severity ratings and regulatory implications specific to your industry.
Adoption Roadmap
A phased plan for bringing AI under governance, deploying approved tools, blocking unauthorized services, and implementing monitoring controls.
Know Your AI Risk
Understand Your AI Exposure Today
Schedule an AI risk assessment to map your current AI usage and build a plan for secure, governed adoption.