Role / AWS, Azure & Google Cloud

Privacy & AI Governance for AWS, Azure, & Google Cloud.

The three hyperscalers run the workloads, data lakes, and AI services where Fortune 2000 personal data actually lives. Clarip provides deep, native coverage of AWS, Microsoft Azure, and Google Cloud, discovering PII, governing AI, and proving compliance across all three from a single console.

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AWS · Microsoft Azure · Google Cloud · Databricks · Snowflake

Hyperscaler coverage snapshot
3
hyperscalers natively supported by Clarip
100s
of AWS, Azure, GCP services and data stores supported
End-to-End
AI platform governance
Region-aware
residency enforcement across global cloud regions

The challenge

Multi-Cloud Environments Create Expanding Privacy and AI Risk.

From shadow data stores and cross-cloud replication to hyperscaler AI services and data sovereignty requirements, modern cloud ecosystems make governing personal data increasingly complex.

Multi-cloud sprawl

PII is copied across AWS S3, Azure Blob, and Google Cloud Storage as pipelines proliferate, with no central inventory.

AI services on every cloud

Bedrock, Azure OpenAI, and Vertex AI accelerate AI usage, and quietly accelerate the leakage of regulated data into models.

Residency and sovereignty

GDPR, India DPDP, and emerging sovereignty rules require regional control across hyperscaler regions and AZs.

Shadow data stores

Engineering teams spin up new buckets, warehouses, and managed databases faster than governance can keep up.

Capabilities

Unified Privacy, AI Governance, & Risk Visibility Across Multi-Cloud Environments.

Discover and classify sensitive data across AWS, Azure, and Google Cloud, govern AI services and foundation models, automate cross-cloud DSR workflows, and continuously monitor data exposure, residency, and compliance risk in real time.

Native discovery on all three clouds

  • Pre-built scanners for 100s of AWS, Azure, and GCP services
  • Auto-classify PII across object stores, databases, and warehouses
  • Maintain a continuously updated multi-cloud data map

AI governance across hyperscalers

  • Govern Amazon Bedrock, Azure OpenAI, and Vertex AI usage
  • Redact regulated fields before they reach a foundation model
  • Per-prompt audit logs for EU AI Act and internal review

Cross-cloud DSR fulfillment

  • Locate a single subject's data across AWS, Azure, and GCP
  • Orchestrate access, deletion, and portability in one request
  • Verifiable audit trail across every cloud touched

Access & risk intelligence

  • Spot over-permissioned IAM roles and service principals
  • Detect public buckets and containers with regulated data
  • Quantify exposure by region, service, and data category

Residency & cross-border control

  • Map data flows by geography in real time
  • Alert when PII crosses a restricted border or region
  • Generate transfer impact assessments on demand

Continuous posture monitoring

  • Detect new accounts, subscriptions, and projects within minutes
  • Re-scan on configuration change or new deployment
  • Stay audit-ready every day, not just at quarter end

Featured Integrations / Partners

Support for AI platforms you can depend on.

Amazon Web Services (AWS)

Native scanners for S3, RDS, Aurora, Redshift, DynamoDB, and Glue. Govern Amazon Bedrock prompts and outputs, and feed classifications into Lake Formation and IAM for closed-loop control.

Microsoft Azure

Coverage across Azure Data Lake, Synapse, SQL, Cosmos DB, and Blob Storage. Govern Azure OpenAI usage and surface findings into Microsoft Purview for unified compliance.

Google Cloud

Integration with BigQuery, Cloud Storage, Cloud SQL, Spanner, and Vertex AI. Enforce consent and AI governance, then feed results into Google's Security Command Center.

Use Cases

Built for Multi-Cloud Privacy, AI, & Data Governance Operations.

Multi-cloud migrations

Inventory PII before you migrate so the move doesn't multiply your privacy risk.

AI platform rollouts

Stand up Bedrock, Azure OpenAI, or Vertex AI with governance, redaction, and audit on day one.

Sovereign & regional builds

Prove residency for EU, India, and Middle East workloads across hyperscaler regions.

Cost & data minimization

Find stale and over-collected PII across all three clouds to reduce both risk and cloud spend.

Customer story

"Clarip is the only platform that gave us one map of personal data, and one set of AI governance controls, across AWS, Azure, and Google Cloud. Updated continuously, not quarterly."

Chief Privacy Officer · Global insurance carrier

3 clouds

unified under one privacy and AI governance platform

70%

reduction in multi-cloud DSR fulfillment time

One platform across AWS, Azure, and Google Cloud.

Get a 30-minute walkthrough on all three hyperscalers, plus a complimentary multi-cloud data and AI risk snapshot for your environment.

Request a demo Download Hyperscalers Playbook