Skip to content

Data Security Platform

Every access leaves a trail. Know exactly who accesses your data.

Trailox learns how each person, service, and AI agent normally reads your data. When a valid key or login starts to read your data in a new way, you get an alert.

Start a free Data Access ReviewHow it works

Illustrative simulation of access flows, in three steps.

  1. See: 5 identities reach 7 data stores through 4 operations.
    • svc-claims-etl, a service, reads Amazon S3 prefix s3://claims-raw/ and writes Apache Iceberg table on Amazon S3 lake.claims.
    • jane.doe, a person signed in through SSO, queries Snowflake table FINANCE.ORDERS and queries Google BigQuery dataset analytics.sessions.
    • rag-ingest-agent, an AI agent, reads Databricks table main.ml.features.
    • tableau-prod, a BI tool, queries ClickHouse database events and queries Google BigQuery dataset analytics.sessions.
    • dbt-nightly, a pipeline, copies out PostgreSQL table orders and writes Snowflake table FINANCE.ORDERS.
  2. Learn: Trailox learns each identity’s normal paths, and each one is marked normal.
  3. Alert: the valid key svc-claims-etl reads s3://claims-raw/ from a new IP through a new client, far above its baseline. Trailox raises an illustrative alert, stolen credential suspected, with the next step: disable the key, then use the same record to see what it read.
Illustrative

Access lineage

Every read, traced to the data.

See each identity, the client it used, what it did and the data it reached, across your data stores.

Illustrative.

Where alerts go

Findings flow into the tools your security team already uses.

  • Microsoft Sentinel
  • Splunk
  • Sumo Logic
  • ServiceNow
  • Jira
  • Slack
  • Microsoft Teams
Explore integrations

Use cases

What Trailox does

Detect

Catch misuse while it happens.

Stolen Credential Detection

Know when a valid key or login starts to read your data in a new way.

  • New IPA source the key never used
  • New clientA new SDK, driver or SQL tool
  • Odd timeOutside the identity’s hours
  • Bulk readFar above its own baseline

Data Export Detection

Alerts when data is copied out of a store

AI Agents and Service Accounts

What each agent and service account reads

Investigate and prove

Answer who read what, and show the evidence.

Access Lineage

Who is behind every read, and where it went

Data Flows

Where data moved, and who moved it

Breach Investigation

Every table and object a leaked key read

Least Privilege Evidence

Grants next to real reads

Audit Evidence

Dated reports of who read regulated data

Not sure where to start? Begin with the free 14-day Data Access Review. Read-only. First findings in 48 hours.

Start a free Data Access Review

A grant shows who may read. Trailox shows who did.

From access to behavior

The access was allowed.
The behavior wasn’t normal.

Trailox analyzes how identities, applications, and workloads interact with data. It detects changes in access patterns, clients, volume, and behavior that permissions alone cannot explain.

Client fingerprint changes

2 stack changes
IdentityChangeBefore → AfterDetectedRisk score
prod-etl-workerStack changeStack changeaws-sdk-go/1.51.3 changed to python-requests/2.31.03h ago9.6, high risk
legacy-backup-runnerStack changeStack changerclone/v1.64.2 changed to python-requests/2.31.05h ago7.2, medium risk
sso-administratoraccessRuntime changeRuntime changeaws-cli/2.17.4 Darwin changed to aws-cli/2.17.4 Windows9h ago3.4, low risk
kafka-connect-sink-7Client unnamedClient unnamedaws-sdk-java/2.25.11 changed to (none)2d ago3.3, low risk
user-reportgeneratorVersion downgradeVersion downgradeaws-sdk-java/2.25.11 changed to aws-sdk-java/2.20.41d ago3.1, low risk
  • prod-etl-workerRisk9.6, high risk
    Stack changeaws-sdk-go/1.51.3 changed to python-requests/2.31.0
  • legacy-backup-runnerRisk7.2, medium risk
    Stack changerclone/v1.64.2 changed to python-requests/2.31.0
  • sso-administratoraccessRisk3.4, low risk
    Runtime changeaws-cli/2.17.4 Darwin changed to aws-cli/2.17.4 Windows
  • kafka-connect-sink-7Risk3.3, low risk
    Client unnamedaws-sdk-java/2.25.11 changed to (none)
  • user-reportgeneratorRisk3.1, low risk
    Version downgradeaws-sdk-java/2.25.11 changed to aws-sdk-java/2.20.4

Ranked by risk score. In one customer case, an assumed role from an AWS account outside the primary estate made 15,853 successful deletions. Every request was allowed.

How Trailox works

From first connection to first alert.

  1. Connect

    Connect each data store with read-only access. Nothing sits in the data path, and your data is never read.

  2. Learn

    Trailox learns how each person, service and AI agent normally reads your data.

  3. Alert

    When a valid key or login reads in a new way, Trailox alerts with the evidence, and the same record shows what it read.

See how it works

Start with proof,
not a pitch.

A free 14-day Data Access Review on your own data stores. Read-only. First findings in 48 hours.

Start a free Data Access ReviewExplore the platform