Check · Connect · Prove

AI runs on your data.
It ships its own apps.
Clarista governs both.

Give Claude, GPT, or any AI governed access to your data. Deploy and monitor the apps AI builds, on your own cloud, with the evidence auditors ask for.

Clarista makes enterprise AI safe in both directions: it checks the code AI writes (vulnerabilities, secrets, compliance evidence for SOC 2, HIPAA, NIST) and connects AI to your data through a governed MCP server, access logged, lineage mapped, PII protected. All on your own cloud.

Book a demo Try a scan
How Clarista fits your stack
code in → checked · data out → governed
AI writes code with
Claude Code
ChatGPT / Codex
Cursor
Lovable
Bolt
GitHub / GitLab
Clarista
01
Check the codeVulnerabilities, exposed secrets, risky dependencies. Criticals block the deploy.
02
Connect the data, governed MCPClaude or GPT reads your data through one governed door: access logged, PII protected.
03
Prove itAudit evidence for SOC 2, HIPAA, NIST. One-click export.
Runs on · reports to
AWS, your VPC
Azure
Google Cloud
Claude reads via MCP
ChatGPT reads via MCP
Your auditor, evidence bundle
Your code and data never leave your environment. semgrep · trivy · gitleaks · mcp
01 · Governed data access

AI is only as trustworthy as the door it walks through.

MCP is how Claude, ChatGPT, and modern AI tools reach company data. Most connections are an open pipe to the warehouse. Clarista is the governed door: every question passes through your data model, your definitions, and your rules.

When AI asksThe governed doorWhat gets recorded
Can I read this table?Access is checked against permissions, not granted by default. Raw tables stay closed; the data model is the interface.access record, per query
What does "revenue" mean here?Queries run against your business definitions, so the AI answers with your numbers, not its guess.definition version used
Send me the customer listPII is masked or blocked before it reaches the model. Residency rules apply to AI reads like any export.masked fields, basis check
Where did this answer come from?Lineage is mapped from source to answer, so every AI output can be traced back.source → query → answer

This is MCP security done properly: an enterprise MCP server with the controls built in. Works with Claude MCP connections, ChatGPT, and any MCP-compatible client, and every read feeds the same audit trail as your compliance evidence. New to this? Start with our guide to Claude MCP for the enterprise.

02 · Deploy and monitor AI apps

The apps AI writes need a home that answers to you.

You vibe code. We ship to production. Prototypes from Claude, Cursor, Lovable, or Bolt are easy; running them for real is the hard part: somewhere safe, watched, and provable. That is what Clarista is for.

01

Deploy to your cloud

Your AWS, Azure, or Google Cloud. Your SSO, your LLM keys, custom domains, 99.9% SLA. Nothing lives in someone else's sandbox.

02

Every build checked

Vulnerabilities, exposed secrets, risky dependencies, caught before production. Critical findings block the deploy. How scanning works.

03

Monitored, with evidence

Runtime health, access logs, and change history feed audit-ready evidence for SOC 2, HIPAA, and NIST. How evidence works.

Clarista Console Apps › client-portal LIVE Scanning build #482...
Build #482, checks
SECRET AWS key in .env.example, vaulted
CVE axios 1.6.0, upgraded
DATA PII export without basis, blocked
CLEAN re-scan passed, deployed to your VPC
EVIDENCE SOC 2 + NIST records updated
Every build. Every change. Recorded. check · connect · prove
Try it

See what a scan finds

Three real patterns from AI-generated code. Pick a file, run the scan, see what would have shipped.

Clarista scan, interactive sample illustrative demo · real engines run 200+ rules 

        

          
Findings

          

          

            
            
          

        

      

    

  






  

    

    

      Evidence mapped to
      SOC 2HIPAAISO 27001NIST CSF 2.0NIST AI RMF
      3 scan engines · 1-click auditor export
    

    

  






  

    Who it is for
    
Teams that answer to regulators and auditors

    

      Financial ServicesShip AI tools without inviting an exam finding.→
      HealthcareHIPAA safeguards on every app that touches PHI.→
      Public Sector & DefenseNIST and CMMC-aligned evidence for assessors.→
      SaaS & TechnologyMove fast with AI, keep the SOC 2 report clean.→
    

    
Want the app built for you instead? Hire AI developers who ship on Clarista: 2 to 4 week delivery, scanned and audit-ready at handover.

  






  

    FAQ
    
Plain answers

    

      
What is Clarista?
Clarista makes enterprise AI safe in both directions. It checks the code AI writes: every build from Claude, Cursor, Lovable, or Bolt is scanned for vulnerabilities and exposed secrets, with compliance evidence for SOC 2, HIPAA, and NIST. And it connects AI to your data through a governed MCP server: Claude, ChatGPT, or any AI reads your data with access logged, lineage mapped, and PII protected. Everything runs on your own cloud.

      
What does it check?
Security vulnerabilities in the code, exposed secrets like API keys, risky or outdated dependencies, and data issues, including personal data leaving your environment without a basis. Critical findings block the deployment until fixed.

      
How do I connect my data to Claude or ChatGPT safely?
Through a governed MCP server. MCP (Model Context Protocol) is the standard way AI tools connect to company systems. Clarista's MCP server sits between the AI and your data: queries go through your data model, access is logged, lineage is mapped, and PII is masked or blocked before it reaches the model.

      
What is a governed MCP server?
An MCP server gives AI tools like Claude and ChatGPT a way to read your data. A governed one adds the MCP security controls an enterprise needs: permissioned access instead of raw tables, an audit log of every read, lineage from source to answer, and PII protection. That is what Clarista provides.

      
Does Clarista manage AI agents?
No. Clarista governs what comes out of AI tools and agents: the code, the app changes, and the data they touch. Whatever an agent produces goes through the same pipeline: checked, run on your cloud, recorded as evidence.

      
Where do the apps run?
On your own cloud. AWS, Azure, or Google Cloud. Sign-in through your SSO, AI calls with your own LLM keys, logs to your Splunk or Datadog. Your code and data never leave your environment.

      
Does it make us SOC 2 or HIPAA compliant?
No tool alone does, be wary of anyone who claims otherwise. Clarista generates the application-layer evidence auditors ask for, mapped to SOC 2, HIPAA, and NIST controls, exportable in one click. Your organization-level controls and your auditor complete the picture.

    

  






  

    

      
Bring one AI-built app.
See what the scan finds.

      
Thirty minutes, your code, real results on screen. Most first scans find something the team did not know shipped.

      Book a demo