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Data Security Posture Management
You cannot protect data you cannot find. LiteDSPM discovers every place data lives across your clouds and warehouses, classifies what is actually in it, and shows you the combination that matters: sensitive data that is exposed, unencrypted, over-shared or long forgotten.
Your data never leaves your account. Classification runs on a scanner you deploy inside your own cloud. It sends back counts and confidences — never a single sampled value.
In development. Join the early-access list to help shape the roadmap.
Records at risk
2.4M
Open findings
9
Unclassified stores
1
SLA breached
0
Data stores by sensitivity
Compliance posture
Why this is the top finding
The same bucket settings on a store of public marketing assets raise nothing at all. What the data is decides whether the configuration matters.
Four questions, in order: where is the data, what is in it, who can reach it, and what should we do about it.
Inventory object storage, managed databases, warehouses and file shares across AWS, Azure, Google Cloud and Snowflake — including the shadow copies nobody remembers creating.
A store nobody has scanned is reported as unknown, never as clean. Coverage gaps are their own finding, so an unexamined estate can't be mistaken for a healthy one.
Know which regions and accounts hold regulated data, and catch production data copied into a staging environment that inherits none of production's controls.
Card numbers are checked against Luhn and real issuer prefixes; SSNs against the SSA's allocation rules; IBANs against mod-97. Detectors that can be validated are.
A column named order_id full of 16-digit numbers is not a PCI finding. Confidence combines pattern, validator, hit rate and column context, so the first scan is one people trust.
Reservoir sampling across object prefixes and ranged reads mean a four-gigabyte file costs one 64KB request. Classify a large estate in minutes, not days.
Public access, over-broad principals, missing encryption and weak transport are evaluated against what the store actually holds — so the findings you get are the ones worth acting on.
Find regulated data sitting past its retention budget or untouched for a year. The cheapest way to shrink a breach is to no longer be holding the data.
Every control maps to GDPR, PCI DSS v4.0, the HIPAA Security Rule, CCPA and ISO 27001, with per-framework scores, remediation SLAs driven by sensitivity, and drift over time.
Discovery is agentless and metadata-only — it reads how a store is configured, never what is in it. Reading content is a separate job, done by a scanner that runs on your infrastructure under your own IAM role, and it sends home counts rather than contents.
Grant read-only API access to each cloud account and warehouse. LiteDSPM inventories your data stores and their configuration. Nothing is installed on your workloads.
Deploy the scanner into your own account with a role granting two read actions. It samples, classifies locally, and returns detector names, counts and confidences — no values.
Findings combine sensitivity, volume and exposure into a rated register with remediation SLAs, framework mapping and drift tracking.
{
"asset_id": "s3:customer-exports/exports/",
"matches": [
{ "detector_id": "pan", "data_class": "PCI",
"match_count": 180, "sample_size": 200, "confidence": 0.97 }
],
"record_estimate": 2400000
}That is the whole payload. There is no field a sampled value could travel in — not even a free-text one, because the human-readable evidence you see in the product is composed from these counts after they arrive. Run the scanner with --dry-run to see exactly what it would send before it sends anything.
Agentless, read-only discovery across the places data actually lives. More added continuously.
LiteDSPM is in active development. Join the early-access list and help shape which data stores and frameworks ship first.