Areebi protects patient data across every AI interaction - from clinical documentation to medical research queries. Deploy AI with real-time PHI masking, immutable audit trails, and HIPAA compliance automation built into every workflow.
AI adoption in healthcare is accelerating faster than governance. Every ungoverned AI interaction is a potential HIPAA violation waiting to surface in your next OCR investigation.
Clinicians paste patient names, MRNs, dates of birth, and diagnosis codes into AI tools daily. A single unmasked prompt containing protected health information can trigger a reportable breach under the HIPAA Breach Notification Rule, with penalties reaching $2.1 million per violation category.
OCR investigations increasingly scrutinize AI tool usage. Most health systems lack any audit trail for AI interactions - they cannot demonstrate what data entered which model, who authorized it, or what controls were in place. This gap is a material finding in any compliance assessment.
Physicians, nurses, and administrative staff use consumer AI tools for note summarization, prior authorization drafting, and patient communication - entirely outside IT governance. These unsanctioned tools create unmonitored data flows that violate BAA requirements and HIPAA minimum necessary standards.
As health systems integrate AI into clinical workflows, ensuring that PHI extracted from Epic, Cerner, or MEDITECH systems stays within authorized boundaries becomes critical. Without enforcement at the AI layer, data leaks through copy-paste, API calls, and browser-based interactions.
Areebi delivers the technical controls health systems need to deploy AI at scale without compromising patient privacy or regulatory compliance.
Areebi's DLP engine scans every prompt and response for all 18 HIPAA identifiers in real time. Patient names, MRNs, dates of birth, Social Security numbers, diagnosis codes, and other PHI elements are automatically masked before reaching any LLM. The engine uses healthcare-specific NER models trained on clinical text patterns, catching identifiers that generic DLP tools miss - including medication-dose-patient correlations, radiology report headers, and surgical note references.
Explore DLP capabilitiesPre-built HIPAA compliance templates map directly to the Security Rule's administrative, physical, and technical safeguard requirements. Areebi automatically generates compliance evidence including access logs, policy enforcement records, and BAA tracking documentation. When OCR investigators or your compliance team requests AI usage reports, export them in one click - no manual evidence gathering required.
View HIPAA compliance detailsThe Areebi browser extension monitors for unsanctioned AI tool usage across clinical workstations. When a nurse opens ChatGPT to summarize discharge instructions or a physician uses an unapproved AI scribe, the extension detects the activity, logs it for compliance review, and redirects users to your organization's approved, governed AI environment. This eliminates the shadow AI blind spot without blocking productivity.
Learn about shadow AI preventionAreebi's visual policy engine lets you define granular access controls by clinical role, department, and use case. Radiologists can access imaging AI with specific controls. Hospitalists can use documentation AI with PHI masking enforced. Administrative staff can query billing AI without clinical data access. Every policy is version-controlled, auditable, and enforceable across your entire health system.
See the policy engineAreebi deploys as a single golden image on your existing infrastructure - Docker, Kubernetes, or bare-metal. PHI never leaves your network boundary. This eliminates the third-party data processing agreements and cloud jurisdiction concerns that complicate HIPAA compliance. Your data stays in your data center, governed by your policies, under your complete control.
Review our trust architectureAll capabilities deploy as part of Areebi's unified platform - a single golden image that runs on your infrastructure. See how other regulated industries use Areebi in financial services and legal.
Real-world scenarios where Areebi enables clinical AI innovation while maintaining HIPAA compliance and patient trust.
A 500-bed academic medical center deploys Areebi to govern their AI-assisted clinical documentation system. Attending physicians dictate notes that are processed by an LLM for structuring and summarization. Areebi's DLP engine masks patient identifiers before they reach the model, the policy engine enforces department-specific documentation templates, and the audit log captures every interaction for compliance reporting. The result: 40% reduction in documentation time with zero PHI exposure incidents.
A research hospital's oncology department uses AI to query medical literature, analyze treatment protocols, and generate research hypotheses. Researchers routinely include patient cohort descriptions in prompts. Areebi automatically detects and masks cohort identifiers, enforces de-identification standards consistent with HIPAA Safe Harbor and Expert Determination methods, and logs all research AI interactions for IRB compliance. Researchers get full AI capability without compromising patient privacy or research integrity.
A multi-hospital health system uses AI to automate prior authorization requests, denial management appeals, and patient billing inquiries. These workflows inherently involve insurance IDs, diagnosis codes, and patient financial data. Areebi governs every AI interaction in the revenue cycle - masking unnecessary PHI, enforcing minimum necessary access policies, and generating compliance documentation that satisfies both HIPAA and payer audit requirements.
Areebi maps to the compliance frameworks that matter most to healthcare organizations, with pre-built templates and automated evidence collection.
Need a framework not listed here? Areebi's policy engine supports custom compliance templates. Read our compliance guides for implementation details.
Answers to common questions from CISOs, compliance officers, and clinical informatics leaders evaluating AI governance platforms.
Areebi's real-time DLP engine scans every AI prompt and response for 18 HIPAA identifiers including patient names, MRNs, dates of birth, Social Security numbers, and medical record details. PHI is automatically masked or redacted before reaching any LLM provider, ensuring protected health information never leaves your controlled environment.
Yes. Areebi provides immutable audit logs for every AI interaction, pre-built HIPAA compliance templates with BAA tracking, and exportable compliance reports that map directly to HIPAA Security Rule requirements. Organizations using Areebi typically reduce audit preparation time by 70% or more.
Areebi deploys as a governance layer between your users and AI models, independent of your EHR system. It controls AI access and data flow regardless of whether clinical staff access AI through embedded EHR tools, standalone applications, or browser-based interfaces. The shadow AI browser extension also monitors for unsanctioned AI usage across all web applications.
Absolutely. Areebi's visual policy engine lets you define granular, role-based policies per department, user group, or clinical function. For example, radiology teams can access imaging AI models with specific data controls, while administrative staff operate under different policies that restrict access to clinical data entirely.
See how Areebi protects patient data, automates HIPAA compliance, and enables your clinical teams to use AI with confidence. Schedule a personalized demo with our healthcare solutions team.