Know where sensitive data lives and who reaches it
PostQKey continuously discovers, classifies, and maps exposure across your cloud and SaaS data, turning a scattered estate into a posture you can govern.
You have sensitive data in places you have not checked yet.
SIEM watches events. CSPM watches infrastructure. DLP watches the perimeter. None of them watch where sensitive data is sitting and who can reach it right now.
Every export your team forgot
Every Salesforce contact report downloaded for a campaign that ended. Every Google Drive folder created by the contractor who left eight months ago. Every Slack file shared to debug a support ticket. Your SIEM captured none of it as a finding. It is still there.
Permissions set years ago, never revoked
An S3 bucket policy that once allowed a partner read access and was never scoped back. A Snowflake data share still active six months after the vendor relationship ended. Redshift security group rules that include a subnet nobody on the current team can explain. CSPM does not look inside the data.
The analyst who can query everything because they needed one table, once
Two years ago, someone needed access to one customer table. They got access to the whole schema. They left. The role stayed. Nobody noticed. Your access logs are too noisy to surface it. PostQKey builds the graph and shows you exactly where those paths exist, before a pentester does.
Three things, done in order.
Discover
PostQKey crawls connected data stores and builds a complete inventory. Every table, every bucket, every file share. No agents to deploy, no data leaves your environment.
Classify and map access
AI labels each data asset: PII, PHI, financial, confidential. Then maps which identities, roles, and service accounts have a path to it. Catches "email in a column named user_ref," not just "column named email."
Surface exposures
Compares what exists against what should be accessible. Flags overprovisioned access, publicly reachable assets, unencrypted stores, and data copied outside the perimeter. A prioritized remediation queue your team can actually work through.
See the platformConnects to where your data actually lives.
40+ connectors across cloud storage, warehouses, SaaS, and databases.
Missing a connector? Request a connector
Stop guessing. See the actual exposure.
| Asset | Classification | Access | Risk |
|---|---|---|---|
| customer_emails / Snowflake prod | PII | 47 identities | HIGH |
| s3://payments-archive-2022 | FINANCIAL | Public read | CRITICAL |
| Salesforce ContactExport_Q3 in Drive | PII | Domain-wide | HIGH |
| redshift-analytics-reporting | INTERNAL | 12 identities | LOW |
What each column tells you
- Asset The specific table, bucket, file, or database. Not the category, the actual store.
- Classification What kind of sensitive data PostQKey found inside, at field level.
- Access How many identities have a path to this data, including inherited role chains.
- Risk Composite score combining sensitivity, access breadth, encryption state, and public reachability.
Practitioner feedback, not marketing copy.
We had no idea a Snowflake share from 18 months ago was still active and reachable by a former partner. PostQKey found it in the first scan.
Head of Data Security, a logistics technology company
The classification accuracy on PHI data was the first time I trusted an automated tool enough to show the finding directly to our compliance team.
Security Engineering Lead, healthcare data platform
Simple pricing. No hidden data-volume caps.
Two plans, one for individual security engineers evaluating PostQKey, one for teams governing a multi-cloud estate. Both include full discovery, classification, and access mapping.
Know what is in your data estate by tomorrow.
Connect your first data store in 15 minutes. Posture baseline in under 24 hours.