Role / IT & Security
CISOs and IT leaders own the blast radius of every personal data store, SaaS app, and AI model in the enterprise. Clarip continuously discovers, classifies, and reduces that exposure — and integrates cleanly with the security stack you already run.
SOC 2 Type II · ISO 27001-ready
The challenge
Personal data sprawls across cloud, SaaS, AI training sets, and shadow IT — far beyond what classic DLP and CMDBs were designed to handle.
Business units spin up Snowflake schemas, S3 buckets, and SaaS tools faster than IT can inventory them.
Sensitive data flows into LLM prompts, vector stores, and fine-tuning sets — most outside existing DLP coverage.
Without an AI/LLM firewall enforcing prompt inspection, model allow-lists, and response redaction, every employee browser tab becomes a potential data-exfil endpoint.
Security tools find risk; privacy teams own remediation — without a shared system, things fall through the cracks.
Capabilities
Clarip plugs into your existing cloud, SaaS, and identity stack to discover sensitive data, score risk, and orchestrate response — without ripping out what already works.
Use Cases
Get a continuously updated map of every place sensitive data lives across your multi-cloud and SaaS estate.
Inventory every AI use case, see what data it touches, and apply controls before regulators start asking.
Quickly assess the privacy and data-security posture of an acquired environment — or carve one out cleanly.
When an incident hits, know within minutes what records and individuals were affected, by jurisdiction.
Customer story
"With our security and privacy teams are on the same team."
CISO · Global manufacturing leader
faster breach scoping
of shadow data stores discovered in week one
The technical and architectural questions that come up in security reviews, POCs, and stack consolidation discussions.
DLP focus on blocking data movement at known egress points. Clarip is a data security & privacy platform (DSPM + privacy ops) that continuously discovers and classifies sensitive data wherever it lives — including shadow SaaS, cloud object stores, vector databases, and LLM training sets — then ties exposure back to consent, lawful basis, and regulatory obligations DLP can't see.
Yes — Clarip uses agentless, read-only API connections to AWS, Azure, GCP, Snowflake, Databricks, Microsoft 365, Google Workspace, Okta, Entra ID, and 100+ SaaS apps. Scans run in your tenant or ours per your data residency policy, with no data leaving classification context.
Clarip pushes risk-scored events to Splunk, Microsoft Sentinel, Chronicle, and other SIEMs, and orchestrates response through XSOAR, Tines, ServiceNow, and Jira. We also support webhooks and a full REST API so you can wire Clarip into existing detection and response runbooks.
Yes. When an incident hits, Clarip lets your SOC query exactly which records, data subjects, and jurisdictions were in the affected systems within minutes — not the days of forensic work it usually takes. Pre-built notification workflows hand off cleanly to privacy and legal so regulator and customer notices go out within statutory windows.
Clarip discovers every LLM, copilot, vector store, and fine-tuning dataset in use, classifies the sensitive data flowing into them, and applies controls to block exfiltration through prompts or embeddings. Controls are mapped to NIST AI RMF and EU AI Act so security and privacy share one model of AI risk.
We'll connect Clarip to a sample environment and walk you through what we find: shadow data, over-permissioned access, and AI exposure your existing stack is missing.