Clarista
Overview
Clarista is an AI governance platform designed to enable healthcare organizations to safely develop, deploy, and monitor AI applications. It focuses on ensuring compliance, data privacy, and security for AI tools that interact with sensitive information.
- What it does: Clarista provides a framework for checking AI-generated code for vulnerabilities, exposed secrets, and risky dependencies. It also facilitates governed access for AI models (like Claude or GPT) to organizational data through a Model Context Protocol (MCP) server, ensuring data access is logged, lineage is mapped, and Protected Health Information (PHI) is protected (e.g., masked or blocked). The platform also helps deploy and monitor AI applications on an organization’s own cloud infrastructure, providing audit-ready evidence for compliance standards such as HIPAA, SOC 2, and NIST.
- Who it is for: Clarista is intended for healthcare organizations, including providers, payers, and pharmaceutical manufacturers, that are building or utilizing AI applications. It is particularly relevant for teams that need to ensure their AI initiatives meet rigorous regulatory and auditing requirements.
- How it fits a clinical or practice workflow: Clarista integrates into the workflow of developing and deploying AI tools by providing a secure and compliant environment. For instance, it can be used to build custom AI applications for patient intake, prior authorization tracking, or healthcare CRM, which can then operate within the practice’s existing cloud infrastructure and integrate with EHR systems through existing interfaces. This allows practices to develop tailored AI solutions while maintaining control over their data and ensuring HIPAA compliance.
- Notable capabilities: Key capabilities include automated code scanning for security and compliance, governed data access for large language models with PII protection and data lineage mapping, and the generation of audit evidence for regulatory compliance. It also supports the deployment and monitoring of AI-built applications on an organization’s own cloud, ensuring data residency and security. Clarista aims to reduce data processing time and enhance the trustworthiness of AI-driven insights.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI Code Vulnerability Scanning
- Exposed Secrets Detection
- Governed Data Access (MCP)
- PII Masking and Blocking
- Audit Evidence Generation (SOC 2, HIPAA, NIST)
- Data Lineage Mapping
- Deployment to Client's Cloud (AWS, Azure, GCP)
- Real-time Monitoring and Logging
- Customizable Compliance Rules
- Integration with LLMs (Claude, ChatGPT)
Use Cases
- Ensuring HIPAA compliance for AI applications in healthcare
- Shipping AI tools safely in financial services with audit evidence
- Achieving NIST and CMMC alignment for public sector AI
- Maintaining SOC 2 compliance for SaaS and technology companies using AI
- Securely connecting AI models to sensitive enterprise data
- Deploying and monitoring AI-built applications in a controlled environment
What Physicians Need to Know
Clarista enables physicians and healthcare organizations to build custom AI applications for specific workflows like patient intake, prior authorization tracking, and healthcare CRM, directly on their own cloud infrastructure. This allows for tailored solutions that fit unique service lines and referral patterns, rather than relying on generic, per-provider point solutions. The platform's strong emphasis on HIPAA compliance, data governance, and audit trails means that built applications are designed to be secure and meet regulatory requirements, potentially streamlining compliance sign-off compared to onboarding new third-party vendors.
Clarista connects to various data sources such as Snowflake, S3, SharePoint, and Salesforce through its AI Data Fabric. It supports native Git workflows (GitHub, GitLab, Bitbucket) for code management and integrates with SSO providers like Okta, Azure AD, and Google Workspace. Clarista also allows you to 'Bring Your Own LLM' (BYO LLM), supporting Azure OpenAI, Bedrock, and on-premise LLMs. While it doesn't explicitly list FHIR/HL7 API support as a direct feature, it states that built apps can 'read and write through your existing interfaces and exports,' indicating compatibility with existing healthcare data exchange mechanisms.
Details
| Category | Developer Tools & APIs, General Productivity (AI Assistants), Legal, Compliance & Security |
| Pricing | Book a demo — Pricing information is not publicly available; requires booking a demo. |
| Free Trial | Unknown |
| Deployment | Your AWS, Azure, or Google Cloud. Your SSO, your LLM keys, custom domains, 99.9% SLA. Nothing lives in someone else's sandbox. |
| Data Export | Unknown |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Unknown AI-estimated — unknown |
| SOC 2 | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Laboratory Medicine, Pathology, Radiology |
Social Proof
| Customers | unknown |
| Notable | unknown |
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