Overview
DataDefender: The DSPM for Cloud Storage
DataDefender, the DSPM for AWS. Discover sensitive data, monitor access in real time, and reduce risk across Amazon S3/EBS/EFS/FSx with malware protection and configuration checks.
DSPM FOR AWS CLOUD STORAGE
DataDefender by Cloud Storage Security helps security teams understand and reduce risk across the AWS cloud storage layer. Built for data security posture management, DataDefender brings together sensitive data discovery, public exposure visibility, storage inventory, activity monitoring, anomaly detection, security checks, and contextualized risk across Amazon S3, Amazon EBS, Amazon EFS, and Amazon FSx.
Cloud data is meant to be used, shared, and moved. The goal is not to lock everything down. The goal is to understand what data is sensitive, what is exposed, what activity is unusual, and which findings actually create risk.
DataDefender helps teams answer the questions that matter during an incident, audit, or storage risk review. What storage assets exist? Which resources are public? What sensitive data is involved? Who accessed it? What changed? Was the activity expected? Which findings should be reviewed first?
CORE CAPABILITIES
Storage Inventory:
Get a clearer view of your AWS storage footprint across accounts, regions, and services. Identify storage resources, volume, file composition, encryption status, capacity, and other details needed to understand where data lives.
Sensitive Data Discovery:
Locate sensitive, regulated, and business critical data across cloud storage so teams can prioritize the resources and findings that matter most.
Data Classification:
Classify data using default and custom rulesets, including financial, health, privacy, and region specific patterns. Use sensitivity context to enrich findings and support better risk decisions.
Public Exposure Visibility:
Identify publicly accessible storage resources and determine which exposed resources require attention. Move beyond asking what is public and start asking what is public, what does it contain, and is it being accessed.
Public Resource Review:
Review public resources through states such as Needs Review, In Violation, and Approved. Separate approved business use from risky exposure with a practical review workflow.
Activity Monitoring:
Monitor storage activity to understand who accessed data, what they did, when it happened, and which resources were affected. Investigate reads, writes, deletes, configuration changes, access patterns, and unusual behavior.
Log Investigation:
Query activity by identity, resource, path, time horizon, and data source. Answer who accessed sensitive files, who performed delete actions, who modified storage configuration, and whether activity involved exposed or sensitive data.
Anomaly Detection:
Detect unusual storage behavior and potential threat signals using behavioral analysis. Identify activity that may look normal in isolation but becomes risky when viewed with sensitivity, exposure, identity, and activity context.
Threat Detection:
Surface storage layer signals such as suspicious access, mass deletion, risky configuration changes, possible ransomware behavior, and potential data exfiltration activity.
Security Checks:
Evaluate AWS storage resources against security best practices. Identify configuration issues by severity, understand associated risk, and review remediation guidance.
Notifications and Alerting:
Send DataDefender events through Amazon SNS to email, Lambda functions, SQS queues, SIEM tools, ITSM platforms, and other downstream workflows.
Contextualized Risk Prioritization:
Prioritize risk by connecting sensitivity, exposure, activity, severity, identity, and storage context instead of treating every finding with the same urgency.
COMMON USE CASES
Find sensitive, regulated, or business critical data across AWS storage.
Review public S3 buckets and determine whether exposure is approved, risky, or in violation.
Investigate internal activity from users, roles, administrators, contractors, or recently terminated employees.
Detect risky storage behavior such as mass deletion, off hours access, unexpected configuration changes, unusual sensitive data access, or activity from risky locations.
Triage incidents faster by connecting identity, resource, action, time, exposure, and data sensitivity.
Support audit and compliance reviews with storage activity, access history, configuration findings, and sensitive data context.
WHY DATADEFENDER
Most security tools can show that something happened. DataDefender helps explain why it matters. Logs alone rarely tell the full story. A storage event becomes meaningful when teams understand data sensitivity, exposure, access activity, identity, and expected behavior.
DataDefender gives security teams that context so they can protect sensitive cloud data without slowing business activity.
Use DataDefender to improve AWS storage security, strengthen data security posture management, investigate storage activity faster, and prioritize the cloud data risks that matter most.
Start a free trial or contact us for a private offer.
Highlights
- Find sensitive data, public exposure, and configuration risk across AWS cloud storage including S3, EBS, EFS, and FSx.
- Monitor storage activity, detect anomalous behavior, and investigate who accessed data, what changed, and where risk exists.
- Prioritize cloud data risk with context from sensitivity, exposure, identity, activity, severity, and storage behavior.
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