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Product · Data Discovery

You can't protect data you haven't found.

Agentless scans across SaaS, cloud stores, warehouses, repos, and endpoints — including the stores nobody remembers creating.

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Argus · Discovery scan
Cycle 7 of 7
Snowflake · 14 warehouses100%2.4M records
PII · payment
Google Drive · 61k files100%1,204 sensitive
PHI · contracts
GitHub · 312 repos96%41 secrets
keys · tokens
gs://mkt-exports-2021 · unregisteredscanning…18k PII rows
no owner on file
3 SHADOW STORES
Full cycle in 14 min · 0 agents installedInventory current

One scan. Every place data hides.

Six surface classes, one inventory — every finding lands in the same map with the same labels.

SaaS

SaaS apps

M365, Google Workspace, Slack, Salesforce, Notion — files, messages, records.

Cloud

Cloud storage

S3, GCS, Azure Blob — buckets and shares, including the forgotten ones.

Warehouse

Warehouses & databases

Snowflake, Postgres, MySQL, MongoDB — column-level, sampled, checksum-validated.

Code

Repos & pipelines

GitHub, GitLab — secrets, keys, and customer data hard-coded where it shouldn't be.

Endpoint

Endpoints

Laptops and file shares — downloads, exports, and local copies of crown jewels.

Shadow

Shadow & unknown stores

Unregistered buckets, stale exports, orphaned databases — found without being told where to look.

Capabilities

Discovery that finds what nobody declared.

Four things PrismSek Discovery does that inventory spreadsheets never will.

Agentless connectors

Connected before lunch.

Read-only API connectors — nothing installed on your data stores, no schema changes, no performance tax. First findings within the hour.

Connectors · this workspace8 live
Snowflake
Drive
Slack
GitHub
Salesforce
Postgres
MongoDB
Box
read-only APIs · scoped credentialsmedian setup: 9 minutes ✓
Shadow sweep · cloud estatesweeping
Argus sweepnetwork · IAM · billing signals
crm_prodregistered
HR driveregistered
billing_dbregistered
Personal Dropboxstale export · 2019
gs://mkt-exports-2021unregistered · 18k PII rows
found via traffic and IAM trails — not by askingAssign owner →
Shadow data discovery

Finds the stores nobody declared.

Argus follows network traffic, IAM grants, and billing trails to surface unregistered buckets, orphaned databases, and stale exports — then samples them for sensitive data and flags an owner.

Continuous scanning

An inventory that never goes stale.

Point-in-time audits age the moment they finish. Discovery watches change feeds and re-samples deltas — new stores, new columns, new shares show up in minutes, not next quarter.

Change feed · livewatching 61 sources
09:41+New store detected · s3://vendor-dumpssampling now
09:38Δ4,120 rows added · hrms_prod.employeesPII · re-sampled
09:31⚠Share went public · Q2_payroll.xlsxowner notified
09:24Stale export deleted · customers_2019.csvrisk removed
new store detected in 6 mininventory age: 0 days ✓
Data map · ranked by exposure61 sources
SourceData classesExposure
gs://mkt-exports-2021no owner · public linkPIIpayment92
hrms_prodHR · 2.4M recordsPIIsalary74
github / platform-api312 repos scannedsecretssource68
Finance driveinternal only · labeledfinancial23
exposure = sensitivity × access × sharingOpen data map →
Risk-ranked data map

Not a list. A to-do list.

Every store scored by sensitivity, access breadth, and sharing exposure — so the riskiest fix is always at the top, with the evidence to justify it.

Found it. Now stop it from leaving.

The same inventory feeds classification and DLP — every discovered store is enforceable the moment it's found.

Request a demoExplore DLP →