Real-world results from organizations that replaced ungoverned AI with a secure, compliant platform. From healthcare to financial services to legal, see the measurable impact of AI governance done right.
87%
Shadow AI Reduction
94%
Faster Audits
<2 Week
Deployment
Clinicians were pasting protected health information into ChatGPT and other consumer AI tools with no audit trail and no data loss prevention in place. The organization faced significant compliance risk with an upcoming HIPAA audit and had zero visibility into what patient data was entering AI systems.
The organization deployed the Areebi golden image on their existing infrastructure and enabled DLP with detection rules for all 18 HIPAA identifiers. Workspace isolation was configured per department so clinical, administrative, and research teams each operated within governed boundaries with role-based access controls.
“We went from zero AI governance to full HIPAA compliance in under two weeks. Our compliance team can now prove exactly what data touches AI.”
- Chief Information Security Officer
Over 60% of employees were using unsanctioned AI tools for client communications, portfolio analysis, and report generation. Sensitive client financial data was at risk of exposure through unmonitored AI interactions, and a SOC 2 Type II audit was approaching with no AI governance controls in place.
Areebi's browser extension was deployed across the organization and immediately detected 47 unauthorized AI tools in active use. Users were redirected to the governed Areebi platform, and DLP rules were configured to block financial data including account numbers, SSNs, and portfolio details from leaving the controlled environment.
“Within a month, shadow AI went from our biggest risk to a solved problem. The browser extension alone was worth the investment.”
- VP of Information Security
Associates were using AI tools for contract review, legal research, and document summarization but risking attorney-client privilege in every interaction. The firm had no visibility into what confidential client data was being shared with AI providers and no way to demonstrate privilege protection to clients.
An isolated legal AI workspace was deployed with custom attorney-client privilege DLP rules that automatically detected and blocked client identifiers, matter numbers, and privileged communications. Custom policies were configured to enforce ethical walls between client matters and maintain complete interaction logs for privilege reviews.
“Our attorneys can now use AI for document review without risking client confidentiality. Every interaction is logged and reviewable.”
- General Counsel
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