AI Usage Controls
Manage How Your Organization Uses AI
As AI tools proliferate across the enterprise, uncontrolled usage creates data leakage, compliance violations, and shadow AI risk. GRAVITI implements technical controls that enable productive AI use while enforcing organizational policies.
Microsoft Azure
Amazon Web Services
Google Cloud
IBM Cloud
Oracle Cloud- Full flexibility in deployment options. We are not commercial partners of software vendors
Who Is It For
AI usage controls are for organizations where employees are adopting AI tools faster than governance policies can keep up.
- CISOs and security teams concerned about sensitive data exposure through AI tools
- Compliance officers managing AI usage in regulated environments
- IT leaders dealing with shadow AI adoption across departments
- AI governance teams establishing enterprise-wide AI usage policies
Our Approach to AI Usage Controls
GRAVITI implements technical guardrails that enable your workforce to use AI productively while preventing data leakage, policy violations, and unvetted AI tool proliferation. We build control layers that monitor, filter, and govern AI interactions across the organization.
Our engineers deploy AI gateway solutions that route all AI tool usage through policy enforcement points. These gateways apply content filtering rules that prevent sensitive data (PII, trade secrets, financial data, source code) from being sent to external AI services. Usage is logged, monitored, and reported for governance oversight.
We also implement AI tool vetting and approval workflows that give your IT and compliance teams structured processes for evaluating new AI tools, setting usage boundaries, and communicating approved-use policies to the organization.
Connecting to systems already in your organization
Our solutions include integration with popular market systems, as well as any additional system as needed
How We Deliver
- AI Usage Audit: Discover all AI tools in use across the organization including shadow AI adoption
- Policy Design: Define AI usage policies covering approved tools, data handling rules, and acceptable use boundaries
- Gateway Deployment: Implement AI proxy/gateway infrastructure with content filtering and access controls
- Monitoring & Reporting: Deploy usage dashboards tracking AI tool adoption, data exposure events, and policy violations
- Governance Workflows: Establish AI tool vetting, approval, and periodic review processes
Expected Outcomes
- Complete visibility into AI tool usage across the organization
- Technical prevention of sensitive data leakage to external AI services
- Structured governance process for AI tool evaluation and approval
- Usage analytics that inform AI strategy and investment decisions
Service Model
- Assessment: 2-week AI usage discovery and policy gap analysis
- Build: 6-10 week gateway deployment, policy implementation, and monitoring setup
- Managed: Ongoing usage monitoring, policy updates, and new AI tool evaluation support
Frequently Asked Questions
Will this block employees from using AI tools?
The goal is enablement with guardrails, not restriction. We implement policies that allow productive AI use while preventing specific high-risk actions like sharing sensitive data. Most organizations see increased AI adoption after controls are in place because employees gain confidence in approved usage.
How do you detect shadow AI usage?
We use network traffic analysis, SSO and SaaS management platform audits, browser extension monitoring, and expense report analysis to identify AI tools being used without IT approval. Discovery findings inform both immediate risk mitigation and long-term governance planning.
Can you control AI usage in specific departments differently?
Yes. Our policy frameworks support role-based and department-specific rules. Engineering teams, customer support, legal, and finance can each have tailored AI usage policies reflecting their data sensitivity levels and regulatory requirements.
Control AI Before It Controls You
Shadow AI is a growing enterprise risk. Let GRAVITI implement the usage controls that enable productive AI adoption while protecting your data and compliance posture.
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