Inside the Data Security Agent
Your PII Is in a Public Bucket Right Now and No Dashboard Will Fix It.
The finding was always in a dashboard nobody acted on. Meet the agent that unifies data and cloud exposure into one ranked list - and routes the fix.
The finding was already in a dashboard
Every breach post-mortem ends the same way: the finding was already in a dashboard nobody acted on. The pains underneath are routine and well-documented - PII sitting in plaintext in a prod table nobody flagged, a public bucket with customer data, a credential committed to a repo that bots found in minutes, an admin role on Snowflake nobody will fix. None of these are exotic. They're sitting there right now.
The trouble is they're scattered. Data-posture tools tell you where sensitive data lives; cloud-posture tools tell you what's misconfigured; secret scanners watch the codebase - three dashboards, three teams, and a manual swivel to correlate them. And even when you find the exposed asset, fixing it means a ticket to another team that may never land. Detection was never the missing piece.
What our Data Security Agent actually does
The Data Security Agent unifies the two halves of data security - where the sensitive data is, and how it's exposed - into one ranked list, and routes each finding to the agent that fixes it.
It maps where PII, PHI, PCI, and secrets actually live across warehouses, lakes, and buckets, and scans the cloud for the misconfigurations that expose them - public buckets, open security groups, unencrypted volumes, disabled logging, overprivileged roles. Crucially, it scores by data risk, not just infra: sensitivity times exposure times access-breadth, so the genuinely dangerous asset rises to the top. When a bucket is public and unencrypted and full of PII and readable by an overbroad role, those findings sort adjacently instead of in four different tools. It hunts secrets beyond the codebase - the credentials that leak into tables, configs, notebooks, and pipeline params that code scanners miss. And every finding names a one-motion handoff: revoke the overbroad grant via governance, open an incident via incident debugging, tag the shadow copy via catalog.
The shape of the win is detection becoming a routed fix. What used to be five dashboards and a manual correlation that ends in a ticket to another team becomes one ranked list where the risks on an asset sit together and each finding names the agent that will fix it.
Here's the reframe: data security isn't a dashboard of findings you triage by hand - it's a finding that already knows which agent will fix it. The scanner was never the missing piece; the missing piece was something that picked the finding up and did the next thing. That's why it lives in the swarm: it detects and proposes, governance flips the permission, incidents triages the active threat - detection routed into resolution.
A few of the agent's capabilities
The Data Security Agent ships with a deep toolkit. A sampling of what it can do:
| Capability | What it does |
|---|---|
| Sensitive-data discovery | Maps where PII, PHI, PCI, and secrets actually live across warehouses, lakes, and buckets. |
| Sensitivity classification | Labels each finding by class and confidence, and can hand the label to the catalog as a tag. |
| Data risk scoring | Ranks assets by sensitivity, exposure, and access-breadth so the few that matter rise to the top. |
| Access mapping | Shows who and what - users, roles, service accounts - can actually reach a sensitive asset. |
| Shadow-data detection | Surfaces un-cataloged, unmonitored copies: dev clones, exports, notebook outputs. |
| Cloud misconfiguration scan | Finds public buckets, open security groups, unencrypted volumes, and disabled logging. |
| Public-exposure detection | Flags assets reachable from the internet and the path that exposes them. |
| Secret-exposure scan | Hunts committed credentials and secrets leaking into tables, configs, notebooks, and pipeline params. |
| Overprivileged-identity detection | Catches wildcard policies and unused grants and recommends a revoke. |
| Unified findings + routed fix | Aggregates every data and cloud finding into one ranked list and names a one-motion handoff to governance or incidents. |
…and these are just a few of many - the agent carries dozens more autonomy skills, with new ones added continuously.
How this is different from a DSPM or a cloud scanner
The honest field splits in two, and the Data Security Agent doesn't out-scan either half.
On cloud posture, Wiz owns the best-in-class cloud graph and attack-path analysis, with Orca and Prisma Cloud close behind - they go far deeper on infrastructure than we do, but they're closed, expensive, and thin on data classification. On data posture, BigID, Cyera, and Sentra ship the deepest sensitive-data discovery, and Varonis is the strongest data-centric access incumbent - all closed, all weak on cloud misconfiguration. Securiti has announced an agent layer, but it's closed and single-vendor.
Where the Data Security Agent is genuinely differentiated is the seam none of them cross: open-source, unified data-and-cloud posture, and - uniquely - routing a finding to a governance revoke or an incident triage in one motion across a multi-agent system. The honest counter-position is co-existence, not conquest: keep your Wiz or BigID as the scanner, and use the Data Security Agent to act on their findings inside your swarm.
The takeaway
Data security stalled not for lack of scanners - there are excellent ones - but because finding the exposure and fixing it lived in different tools owned by different teams, so the finding sat in a dashboard until it became a breach. An agent that unifies data and cloud exposure into one ranked list and routes each finding to the agent that resolves it is what closes the gap between knowing and doing. The exposed data was never the surprise - the surprise was that the finding sat there, and nobody picked it up.
See it on your own stack
Point the agent at your cloud and warehouse - and watch it surface where the sensitive data is exposed, rank the genuinely dangerous assets first, and route each fix to the agent that can make it. Book a demo to see it on your stack.