Understand what you’re storing and what actually needs attention
Get a clear picture of the data across your storage. Identify sensitive information, understand where it lives, and focus on what matters most.
You can’t protect what you don’t see
Most teams store more data than they realize and have limited visibility into what it actually contains.
Without clear data classification and visibility into data sensitivity, it’s difficult to know what actually needs protection.
Find sensitive data without digging for it
Quickly locate sensitive and regulated data across your environment.
DataDefender™ shows where sensitive data exists across files, objects, and volumes, and how it is distributed across accounts, regions, and services.
This allows your team to detect data exposure in AWS without manually searching through storage.
Make sense of what you’re storing
Raw data doesn’t tell you much on its own.
DataDefender classifies data across your storage so you can:
- Separate sensitive from non-sensitive data
- Identify regulated or high-risk data types
- Understand how data is distributed across your environment
This gives you a clear view of what matters, instead of treating all data equally or relying on assumptions.
See where sensitive data becomes a problem
Sensitive data isn’t always risky until it’s exposed, misconfigured, or accessed in the wrong way.
DataDefender shows sensitive data alongside:
- Where it is stored
- How it is accessed
- Whether it is exposed or widely available
This gives your team the context needed to move from visibility to data breach mitigation and faster breach response.
Built for your AWS environment
Designed to work across S3, EBS, EFS, and FSx, DataDefender integrates with your existing AWS logging and monitoring workflows so you can extend what you already use instead of replacing it.
01
Sensitive Data Discovery
See exactly which buckets, volumes, and files contain sensitive data. Identify where regulated or high-risk data exists across accounts and regions without manual effort.
02
Data Classification
Understand what type of data is stored in each resource. Distinguish between sensitive and non-sensitive data so you can prioritize what requires attention.
03
Contextual Understanding
See sensitive data alongside how it is accessed and where it is located. Identify when data is in a risky state, such as being publicly accessible or broadly exposed.
04
Clear, Usable Results
Review findings in a structured format that includes the resource, data type, and relevant context. Export results for audits, compliance, or reporting without additional processing.
Want to talk to an expert?
Our team helps security, compliance, and platform engineering groups roll out malware protection for S3, Azure Blob, and Google Cloud Storage at scale without breaking ingest workflows or violating data residency.