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Learn how Superna provides data-first security, automation and compliance for the multi-cloud world with our documentation and media resources.

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Blogs

Why Modern SIEM Architecture Abandoned Raw Ingestion

Security teams didn’t stop ingesting raw logs because they wanted fewer tools. They stopped because
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Webinars

Building Storage-Aware Incident Response

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Blogs

Double Extortion Is Now the Default — Why Data-Layer Defense Must Also Protect GenAI Integrity

Why Backups Don’t Stop the Real Risk Anymore For most of the last decade, ransomware
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Blogs

Application Fingerprinting: How It Reduces False Positives in Data Security

False positives continue to drain SOC and Incident Response (IR) capacity. Traditional detection tools generate
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Blogs

From Detection to Orchestration: Using Data Attack Surface Management (DASM) to Power CTEM Workflows

The Problem: Exposure Insights Without Automation Don’t Reduce Risk Most security programs today generate extensive
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Blogs

Exposure Scoring 101: Why Traditional Exposure Platforms Cannot Measure Data Risk

And Why Data Attack Surface Management (DASM) Is Required for Real CTEM Outcomes Why Measuring
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Blogs

CTEM at the Data Layer: Moving from Detection to Continuous Control

Why CTEM Must Include the Data Layer to Be Effective Continuous Threat Exposure Management (CTEM)
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Blogs

Why Data Attack Surface Management Is the Missing Layer in Cyber Defense

Today’s Cyber Defense Stack Has a Structural Blind Spot Enterprises have invested heavily in endpoint
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Blogs

The Future of Agentic Security: Exposing the Data Attack Surface to AI Agents via Model Context Protocol

Unstructured data has always been the ultimate target — yet it has remained the least
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Blogs

Why Device SLAs Don’t Protect Data — And What Actually Does

There is growing discussion across the cybersecurity industry about Service-Level Agreements (SLAs)—how fast a system
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Case Studies

Ardent Health

Ardent Health Uses Superna for Data Security
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Case Studies

Texas Tech

Texas Tech Uses Superna to Automate Failover and Auditing Processes
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