Audits fail on evidence, not intent. Clarista maps platform controls to SOC 2, HIPAA, and NIST, and regenerates the evidence on every deploy, so the audit binder is never stale.
Clarista keeps AI compliance evidence current automatically. Every scan, change, and access on your AI-built apps is recorded and mapped to SOC 2, HIPAA, ISO 27001, and NIST controls, exportable as an auditor bundle in one click.
Control mappings are maintained by the platform. When the platform changes, the mapping changes with it, that's the difference between monitoring and screenshots.
Change management, vulnerability management, logical access, monitoring, the platform generates artifacts for the trust criteria your Type II report leans on.
Technical safeguard mappings (§164.312) for apps touching PHI: access control, audit controls, integrity, transmission security. PHI-handling apps are flagged and tracked.
Protect and Detect family coverage with evidence per control. The framework federal partners and defense primes expect to see.
Model inventory, endpoint mapping, and usage governance for the AI inside your systems, the questions every security review now opens with.
Compliance state recalculates on every deploy. Drift is caught the day it happens, not the week before the audit.
Scanner → typed finding → indicator (KCI/KRI) → control. Swap any scanner; the evidence chain survives. One-click export: PDF for auditors, JSON for GRC platforms.
The evidence starts at the build: code scanning on every deploy is what makes the audit trail real. Regulated teams in financial services and healthcare use this to answer exam requests in hours instead of weeks.
The gap between audit cycles is where AI-built apps drift out of compliance, new deploys, new dependencies, new access grants.
Screenshot controls once a year. Hope nothing changed. Discover in the audit that three apps shipped without review since March.
Great at collecting company-level evidence, but blind to what's inside each app's build pipeline. The app layer is their gap.
The build pipeline is the evidence source. Every scan, deploy, and access change lands in the record the moment it happens.
AI compliance means being able to show that the AI systems your company builds and uses meet the controls your frameworks require: who can access them, what data they touch, how changes are managed, and what the scans found. Clarista generates that evidence automatically for every AI-built app and every AI data connection.
Compliance monitoring continuously checks applications against the controls of frameworks like SOC 2, HIPAA, and NIST, rather than assessing once a year. For AI-built apps, that means tracking every build's scan results, access changes, and deployments as compliance evidence in real time.
No, and be wary of any vendor who claims their tool does. SOC 2 covers your whole organization. Clarista generates the application-layer evidence (vulnerability management, change management, access control) that typically consumes the most audit-prep effort, and exports it to your auditor or GRC platform.
Apps that touch PHI are flagged and mapped against HIPAA's technical safeguards (§164.312): access control via SSO, audit controls via immutable logs, transmission security via enforced TLS. The mapping updates with every deploy. Clarista supports HIPAA compliance programs; a BAA and your organizational controls complete the picture.
NIST CSF 2.0 (Protect and Detect families) and NIST AI RMF for the AI components inside apps, model inventory, endpoint mapping, and usage governance. For defense contractors, the CSF evidence supports CMMC preparation.
Yes. Evidence exports as structured JSON that slots into GRC platforms, or as PDF bundles for direct auditor handoff.
Bring your current request list to a 30-minute session, we'll map which items Clarista generates automatically.
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